From 6cd9974ca5160f6c134e50028429e9c77bedbe8d Mon Sep 17 00:00:00 2001 From: Jose More Date: Fri, 28 Jul 2023 12:20:09 +0200 Subject: [PATCH 01/77] nvidia gpu mem alert --- .../nvidia-gpu/HighMemoryUtilization.yml | 27 +++++++++++++++++++ 1 file changed, 27 insertions(+) create mode 100644 alert-policies/nvidia-gpu/HighMemoryUtilization.yml diff --git a/alert-policies/nvidia-gpu/HighMemoryUtilization.yml b/alert-policies/nvidia-gpu/HighMemoryUtilization.yml new file mode 100644 index 0000000000..e003127f7e --- /dev/null +++ b/alert-policies/nvidia-gpu/HighMemoryUtilization.yml @@ -0,0 +1,27 @@ +name: High GPU Memory Utilization + +description: |+ + This alert is triggered when the Nvidia GPU memory utilization is above 90%. + +type: STATIC +nrql: + query: "SELECT latest(utilization.memory.percent) FROM NvidiaGpuSample" + +# Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) +valueFunction: SINGLE_VALUE + +# List of Critical and Warning thresholds for the condition +terms: + - priority: CRITICAL + # Operator used to compare against the threshold. + operator: ABOVE + # Value that triggers a violation + threshold: 90 + # Time in seconds; 120 - 3600 + thresholdDuration: 300 + # How many data points must be in violation for the duration + thresholdOccurrences: ALL + +# Duration after which a violation automatically closes +# Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) +violationTimeLimitSeconds: 86400 From e2986cd2efe1949110b0ccf0abc772778109877d Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Thu, 28 Sep 2023 12:38:26 +0530 Subject: [PATCH 02/77] Tigris Quickstart --- quickstarts/tigris/config.yml | 46 ++++++++++++++++++++++++++++++++++ quickstarts/tigris/logo.png | Bin 0 -> 24113 bytes 2 files changed, 46 insertions(+) create mode 100644 quickstarts/tigris/config.yml create mode 100644 quickstarts/tigris/logo.png diff --git a/quickstarts/tigris/config.yml b/quickstarts/tigris/config.yml new file mode 100644 index 0000000000..9c554348f4 --- /dev/null +++ b/quickstarts/tigris/config.yml @@ -0,0 +1,46 @@ +slug: tigris +description: | + ## Why should you monitor your usage of Tigris? + Monitor your vector searches on Tigris to get visibility on what you send to Tigris, responses retrieved from Tigris, latency, usage and errors. + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + ### What’s included in this quickstart? + New Relic Tigris monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Tigris app. These reports include: + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content. + +summary: | + Monitor your Vector search's performance and quality with New Relic Tigris quickstart. +icon: logo.png +level: New Relic +authors: + - New Relic + - Jyothi Surampudi +title: Tigris +documentation: + - name: Tigris Vector Database integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - tigris + - tigris vector db + - vector database + - vector search + - AI database + - machine learning database + - big data database + - SQL-based vector database + - sql based vector database + - mlops + - NR1_addData +dashboards: + - langchain-vectordb +alertPolicies: + - langchain-vectordb \ No newline at end of file diff --git a/quickstarts/tigris/logo.png b/quickstarts/tigris/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..fcdd9217fa2cd519920ab82a2757a07802d49d38 GIT binary patch literal 24113 zcmZU31y~)w@+j^O#a#*%x8m;Z?(TYUcXuxw+}+*X-HQ7GN^vg~9>06T#bquym9cq^k4r z{t>_dO)Qv$2!<8vM9-9y9ehnYZ0I6>fCQ%Wn$&Kf5pEUDi(VR?1cC0)JaWUv$1~Ef z6brM&T`)i&S^>5vO&HHb42D4zwZztO6NxfGWGqXjNGhfkT5l^O^9^N~J-}vE?DHy}O1LNh9!1a(~ zwE$W~Qyl2o#z4*-!5Mgr-Fj_MX;Y!)kFlHkj9GaDEaoX^2**}6>JTEHsW;cUL~ZOc z7}>RG%%;qyY4o`oI%$NIQOsw%3V#O?t6_Regh8Ac7jKow4?PrFd>q-}l83u60b;

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+++++++++++++++++++++++++++++++ quickstarts/typesense/logo.png | Bin 0 -> 194370 bytes 2 files changed, 48 insertions(+) create mode 100644 quickstarts/typesense/config.yml create mode 100644 quickstarts/typesense/logo.png diff --git a/quickstarts/typesense/config.yml b/quickstarts/typesense/config.yml new file mode 100644 index 0000000000..f7cda945e2 --- /dev/null +++ b/quickstarts/typesense/config.yml @@ -0,0 +1,48 @@ +slug: typesense +description: | + ## Why should you monitor your usage of Typesense? + Monitor your vector searches on Typesense to get visibility on what you send to Typesense, responses retrieved from Typesense, latency, usage and errors. + + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + ## Comprehensive monitoring quickstart for your Typesense app + Our Typesense quickstart provides metrics including Identify popular queries, sources, and content. + + ## What’s included in this quickstart? + New Relic Typesense monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Typesense app. These reports include: + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content +summary: | + Monitor your Vector search's performance and quality with New Relic Typesense quickstart +icon: logo.png +level: + - New Relic +authors: + - New Relic + - Ramana Reddy +title: Typesense +documentation: + - name: Typesense integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - Typesense + - langchain + - vector store + - vector search + - vectordb + - vector db + - mlops + - NR1_addData +alertPolicies: + - langchain-vectordb +dashboards: + - langchain-vectordb diff --git a/quickstarts/typesense/logo.png b/quickstarts/typesense/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..8b18a8fc19e44f8f1442511332c585ad26e20468 GIT binary patch literal 194370 zcmce+WmH_jvM7uN2<{o&k^sToA$V|ig1c+bf#4)q65JuUySs+}4)w_FlcXd@)RaaGa?{7*9Qs^i|C@?TE=+d9WRbXJ?AwZ*oI};;~@qvbaU~U~_`T;AlS~ 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--- /dev/null +++ b/quickstarts/elastic-knn-search/config.yml @@ -0,0 +1,55 @@ + +slug: elastic-knn-search +description: | + ## Why should you monitor your usage of Elastic KNN Search? + + Monitor your vector searches on Elastic KNN Search to get visibility on what you send to Elastic KNN Search, responses retrieved from Elastic KNN Search, latency, usage and errors. + + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + + ### What’s included in this quickstart? + + New Relic LangChain monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content + +summary: | + Monitor your Vector search's performance and quality with New Relic Elastic KNN Search quickstart. +icon: logo.png +level: New Relic +authors: + - New Relic +title: Elastic KNN Search +documentation: + - name: LangChain Vector Database integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - elastic knn search + - k-nearest neighbors + - KNN + - vector search + - nearest neighbor search + - machine learning + - artificial intelligence + - AI + - ML + - data science + - big data + - elasticsearch + - mlops + - NR1_addData +dashboards: + - langchain-vectordb +alertPolicies: + - langchain-vectordb \ No newline at end of file diff --git a/quickstarts/elastic-knn-search/logo.png b/quickstarts/elastic-knn-search/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..89808783089bc7052b14faf739973ca148b55488 GIT binary patch literal 45797 zcmdSB1zR1y ze4a@+-BqJT4Sj1=L70+)6e1iR90&*qqKvfoI}i{EBoGi#TNo(d2`HL&3kV2YnT42` 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b/quickstarts/mongodb-atlas-vector-search/config.yml new file mode 100644 index 0000000000..24d62d7e5a --- /dev/null +++ b/quickstarts/mongodb-atlas-vector-search/config.yml @@ -0,0 +1,57 @@ +slug: mongodb-atlas-vector-search +description: | + ## Why should you monitor your usage of MongoDB Atlas Vector Search? + Monitor your vector searches on MongoDB Atlas Vector Search to get visibility on what you send to MongoDB Atlas Vector Search, responses retrieved from MongoDB Atlas Vector Search, latency, usage and errors. + + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + ## Comprehensive monitoring quickstart for your MongoDB Atlas Vector Search app + Our MongoDB Atlas Vector Search quickstart provides metrics including Identify popular queries, sources, and content. + + ## What’s included in this quickstart? + New Relic MongoDB Atlas Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your MongoDB Atlas Vector Search app. These reports include: + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content +summary: | + Monitor your Vector search's performance and quality with New Relic MongoDB Atlas Vector Search quickstart +icon: logo.png +level: + - New Relic +authors: + - New Relic + - Ramana Reddy +title: MongoDB Atlas Vector Search +documentation: + - name: MongoDB Atlas Vector Search integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - mongodb + - atlas vector search + - mongodb atlas vector search + - vector search + - vector database + - cloud-based vector search + - managed vector search + - machine learning + - artificial intelligence + - AI + - ML + - NLP + - CV + - text search + - image search + - video search + - product search +alertPolicies: + - langchain-vectordb +dashboards: + - langchain-vectordb diff --git a/quickstarts/mongodb-atlas-vector-search/logo.png b/quickstarts/mongodb-atlas-vector-search/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..5e921e4209b027a98296f421289b1bc5e3eee5c6 GIT binary patch literal 93383 zcmdqIby%IhvOkJzad(PS+#Oonp}14r-4bo`fq@}ONs20gfk6Pkz`!-&U_d!P=KbQpzz`}d zL_`#&L_|mx9qmjltWChcB*T(YU=l^EuFelE=tQhg}Rx#1TTl`U9V{|>t?&%3FKwAb;` zw%?vtS)OK7uwa^Lr-J- zBJJx+$Yh`FPsn5*G-po2ARZG=MF7hl*bPkpBb|-o76{1*Jc;E;YsS8X5)KrD>nJHP z1ELB>*V4uZ3`i!tLg_!X=lN z#(oVUEBNGS+Es?<=ZH;350_l`ohwOba1{MF9G+8yMjh*sLnq{+(>ylRDEHT$@#J&k zhJKTY>09`OI&N~6ZngZ>!9*4b{)TD_4q;-2qlUv5=+WJ;tW#*BjIj=CmKr;<$TGw@ zGQx)scR@aSZ09dyPubZIn?BIiKQ}H8?0tW3@vwo4Ch#UJ&E0MIyIZDZW6FOHjRZ$D{?0xy_#N3lR(}i3`0lQrnyYUN z^)LcjYIN0^>bCFMxjEK~BgEFq#tQbwfoE1X^0m40HEOt`eQe0r+BV9f1X>@4Evctt&=rE{$=(!L`xsV^e)7C;Y|3GVnP}qTl_{128$l_A=MNuyTtZ0d&urX~jQ(^xFs(=)Kgda;A$PEF z!AX8_Lw(^6{qU6(NfL+EpPp1Z6ueDDP!SaqVes>fB05DN#f+mlg9<{Di0X`BDfSCA zFOqIx^%vb4$Wj!1|1IGh158=}vRY2-57R+-%oxal{kwzq=$Y_1Kg57At?1Q$F@17C zv1gbKNSR%AAPqt;rXqVH@fiBx=Q_pSQVkU{=}4`xPhV7XEfpV1)l^{5kfp=%#l3}% zW--}`Y{Fc{UJJ-)beyR?DBC~i1_?&m3bzzo=f2L6pV;BDiX$5NIrP@D%%)PvG8W@1 z`|*TY4CoBqe}iErsnwuIvhsK7doePqrCl*uVZC6qhJ1u*MqG~}8r-$V=SIvVV8k8n zHQ5h$;Io%-ICj`<1>cb9gwVsWi+CCw-V1sb_JV$gdnfEB5DF!sroo7WV+{NT5fiJh zBFX*PoN|Ng1L{!NCsB-i0+!5FVI7f5iX{vt3=)iOS{j-YI&M086;zr^wNe%CYJ1f@ zg$`)Zteo8@eQbpR*{bNujMkdLu67EHgO}7?@uVV$DFtG@dz9l&) zu_lp!T2|33-BXED^;U5&7b|~NWh#4AR>Xuvi0CV-EF#R+DgK~Xr-Jb*BVCxGh`7L2 zNn$}|@nVr|@phqnajIO(f+n3MN=~N0rZ6jav%ovMNFahILdfb@<%{NK!_b0Rg=hKQ zqRaxpg6D#e)eMIhyAlVd6}uJxtf*DG730Fh;zpIbrW1hErTN_Y>LPxX+Ei%4ziFaL zxGCAXqr9r%vV>u7E6-cXQzN8!zbqlYLG?IuDwa`fSyw%`L-nciN~Rq@OG=?Y zeQy1f+(XOb-2=VL+at?k|Ap!W?Iq|1=|$l~D9ncd(SRx#8yNE7_TW3D6oMr@L3T1+ zmdN<1W&#)7D7*|@3A`FMTTUN?eA_-wTIMn~cWY_R2j)rkDwZy*U=E|yqV!AF4jbeQ zzEtWA^^EQM?+k*+@l z(`qknCwA~=nKmZ&-STt)W&2`F*y3%gv*VXnBus)K;rj%Lpjw{M9Mb$>*)&P3BeZmHl$|O7(N;XY@1AGs9iSPRtF; 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zdK5&|>5wbBMag}S&X2Gx$YGB4v^pJ`u#T|Jt{M86owim|7f|13CQ9}aX~HJa^efO_ zJ)hUZexlMe9UmZLA@-8tIb~g9V6KbI@ zj1pR-O{{LBwU4HTswGWH`JZNZtDjF3=LB1tbf>qp1$gJ%f-&3U9nIzLhVpPsgnR`m_XnEwNW7 Date: Fri, 29 Sep 2023 15:25:56 +0530 Subject: [PATCH 06/77] DocArray HnswSearch Quickstart --- quickstarts/docarray-hnswsearch/config.yml | 53 +++++++++++++++++++++ quickstarts/docarray-hnswsearch/logo.png | Bin 0 -> 28189 bytes 2 files changed, 53 insertions(+) create mode 100644 quickstarts/docarray-hnswsearch/config.yml create mode 100644 quickstarts/docarray-hnswsearch/logo.png diff --git a/quickstarts/docarray-hnswsearch/config.yml b/quickstarts/docarray-hnswsearch/config.yml new file mode 100644 index 0000000000..29f0193778 --- /dev/null +++ b/quickstarts/docarray-hnswsearch/config.yml @@ -0,0 +1,53 @@ +slug: docarray-hnswsearch +description: | + ## Why should you monitor your usage of DocArray HnswSearch? + Monitor your vector searches on DocArray HnswSearch to get visibility on what you send to DocArray HnswSearch, responses retrieved from DocArray HnswSearch, latency, usage and errors. + + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + ## Comprehensive monitoring quickstart for your DocArray HnswSearch app + Our DocArray HnswSearch quickstart provides metrics including Identify popular queries, sources, and content. + + ## What’s included in this quickstart? + New Relic DocArray HnswSearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your DocArray HnswSearch app. These reports include: + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content +summary: | + Monitor your Vector search's performance and quality with New Relic DocArray HnswSearch quickstart +icon: logo.png +level: + - New Relic +authors: + - New Relic + - Ramana Reddy +title: DocArray HnswSearch +documentation: + - name: DocArray HnswSearch integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - DocArray + - HnswSearch + - text search + - image search + - video search + - AI + - machine learning + - open source + - Hnsw Search + - Doc Array + - vector search + - mlops + - NR1_addData +alertPolicies: + - langchain-vectordb +dashboards: + - langchain-vectordb diff --git a/quickstarts/docarray-hnswsearch/logo.png b/quickstarts/docarray-hnswsearch/logo.png new file mode 100644 index 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zC!fat&qEZZJ@7t%5W~d7#C8e~rU(=h1OF4lK>WN!@xvwkV9HJ*{h#!I0z0A|n-_~0 z3!(L3N_uLG>Oa9NvBe+vFb5{$9!wz;81MfRaUj~N2a-kQL)e3<$vD2h;s1#TR|)=~ et|}p~?ti~Htc(&~Zg}_~0iY Date: Fri, 29 Sep 2023 21:20:55 +0530 Subject: [PATCH 07/77] Vectara Quickstart --- quickstarts/vectara/config.yml | 46 +++++++++++++++++++++++++++++++++ quickstarts/vectara/logo.png | Bin 0 -> 14515 bytes 2 files changed, 46 insertions(+) create mode 100644 quickstarts/vectara/config.yml create mode 100644 quickstarts/vectara/logo.png diff --git a/quickstarts/vectara/config.yml b/quickstarts/vectara/config.yml new file mode 100644 index 0000000000..bf6e35471f --- /dev/null +++ b/quickstarts/vectara/config.yml @@ -0,0 +1,46 @@ +slug: vectara +description: | + ## Why should you monitor your usage of Vectara? + Monitor your vector searches on Vectara to get visibility on what you send to Vectara, responses retrieved from Vectara, latency, usage and errors. + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + ### What’s included in this quickstart? + New Relic Vectara monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Vectara app. These reports include: + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content + +summary: | + Monitor your Vector search's performance and quality with New Relic CVectara quickstart. +icon: logo.png +level: New Relic +authors: + - New Relic + - Jyothi Surampudi +title: Vectara +documentation: + - name: Vectara integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - vectara + - vector store + - machine learning + - vector search + - artificial intelligence + - AI + - ML + - NLP + - data science + - mlops + - NR1_addData +dashboards: + - langchain-vectordb +alertPolicies: + - langchain-vectordb \ No newline at end of file diff --git a/quickstarts/vectara/logo.png b/quickstarts/vectara/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..e2406137a22dbc324867e92c2208a081bd1ce1ed GIT binary patch literal 14515 zcmeIYWmH|wvNp;hIKkav;qLD4794`RFWjA=fdqE~AvnR^-8HzoyE}X<@80K}{oVWT z{<=TT9HVDfb=C89b@yDedh}e8DoWBw2>1vP5D-YRG7_I4AOJ>SIRXv_d|w2x;y^$k zlv#_5tH_Frld3p7T3FkeLqNzxCZ)itt1V)OO|%`7hk0e*!}Lej{<5|F{8 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bf6e35471f..db55ec98fc 100644 --- a/quickstarts/vectara/config.yml +++ b/quickstarts/vectara/config.yml @@ -14,7 +14,7 @@ description: | - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic CVectara quickstart. + Monitor your Vector search's performance and quality with New Relic Vectara quickstart. icon: logo.png level: New Relic authors: From c181d388ef158e01f7ca529bb6c52aa3b0b52afb Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Fri, 29 Sep 2023 22:20:49 +0530 Subject: [PATCH 09/77] Postgres Embedding new quickstart. --- quickstarts/pg-embedding/config.yml | 58 ++++++++++++++++++++++++++++ quickstarts/pg-embedding/logo.png | Bin 0 -> 160322 bytes 2 files changed, 58 insertions(+) create mode 100644 quickstarts/pg-embedding/config.yml create mode 100644 quickstarts/pg-embedding/logo.png diff --git a/quickstarts/pg-embedding/config.yml b/quickstarts/pg-embedding/config.yml new file mode 100644 index 0000000000..e7de7111c3 --- /dev/null +++ b/quickstarts/pg-embedding/config.yml @@ -0,0 +1,58 @@ + +slug: postgres-embedding +description: | + ## Why should you monitor your usage of Postgres Embedding? + + Monitor your vector searches on Postgres Embedding to get visibility on what you send to Postgres Embedding, responses retrieved from Postgres Embedding, latency, usage and errors. + + ### Track the query performance of your Vector DB + Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + + ### Track your app: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + + + ### What’s included in this quickstart? + + New Relic LangChain monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + + - Vector searches + - Alerts for errors, search per vector store, and response time + - Identify popular queries, sources, and content + +summary: | + Monitor your Vector search's performance and quality with New Relic Postgres Embedding quickstart. +icon: logo.png +level: New Relic +authors: + - New Relic +title: Postgres Embedding +documentation: + - name: LangChain Vector Database integration documentation + description: | + Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + url: https://github.com/newrelic/nr-openai-observability +dataSourceIds: + - langchain-vectordb +keywords: + - pg embedding + - postgres embedding + - vector embedding + - postgreSQL + - timescaleDB + - machine learning + - artificial intelligence + - AI + - ML + - NLP + - CV + - computer vision + - image search + - video search + - text search + - mlops + - NR1_addData +dashboards: + - langchain-vectordb +alertPolicies: + - langchain-vectordb \ No newline at end of file diff --git a/quickstarts/pg-embedding/logo.png b/quickstarts/pg-embedding/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..849946ef430813380654b5f9ce70fee7abca8632 GIT binary patch literal 160322 zcmZU)1y~$QvoO4iy9X9`4YIhqy99#60zrej1r~RA*PtP20>QF41lJHOxCM9T=e*~f 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z-%Ew{r0oBPMXAbvYhFd~)^K?_!xQej%4R^*vq0#(&^pt+c?+;92)2f;r(H!ren9{AF zd@jrEw+(}Hct?y04B}_ATjt&*hrD(~$G`BiF~hs zo2u3wImD6krhTRlYUbcN9#NIjohvlrr$xzxksgKC9mKW8b#gSx^zU*l9iAf^0eMy5&W9U!Z!jftaiDXz1OEuL{&_ z^*w9x=lzk%c&`LRrKQ^SS96qG=#M|5C0~wVQlZ5%30A-Mp?eQvz-Sh;C6+ZEwUVk4(@UmI zvR>_)QGUNb)dn?&vV1%ABRi7%Qhxu&4_Yh&zfQioSVCgx%%sijJS zF}UdFMksV2_X!HRMQ=8B)`*4i(2_U=PCq^{y;-Jd=Rth;S=sOmwUQ3bR|{4LK}?kD zp1Q@u|9uAovO#k7~!d;a|UTR?k~3`Sn}InB~>~ro>&g(G$ksOw<DeIL|0=M2BE|*&veg)~aBNfe1nQ-(dzTWy9X0(pZlpZ{x809dIW8(p~uP z`dkniI>^uGKQN9u>^C;+a}5jWU?3(I`P0hW|6)0iD&L-1IUsxvNJ01idF}Nh@F$6t Ufm?4EIpFD0e5>}RPSzsie`7mOQUCw| literal 0 HcmV?d00001 From fc218f3aa43877d40e7aaf8abd419cf8d40d0adb Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Thu, 5 Oct 2023 10:01:33 +0530 Subject: [PATCH 10/77] Updated logo and doc url in dashboard --- dashboards/stripe/stripe.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dashboards/stripe/stripe.json b/dashboards/stripe/stripe.json index ff399f49f0..254ff43fb4 100644 --- a/dashboards/stripe/stripe.json +++ b/dashboards/stripe/stripe.json @@ -19,7 +19,7 @@ "id": "viz.markdown" }, "rawConfiguration": { - "text": "![Stripe Logo](https://thumbs.bfldr.com/at/8vbr8k4mr5xjwk4hxq4t9vs?expiry=1695274748&fit=bounds&height=800&sig=N2E1NGJmNDhmNzMxNDgwMDBhZGE5YmZlMWNiODEwN2RhNmM1NmQ1Nw%3D%3D&width=1100)" + "text": "![Stripe Logo](https://raw.githubusercontent.com/newrelic/newrelic-quickstarts/main/quickstarts/stripe/logo.png)" } }, { @@ -182,7 +182,7 @@ "id": "viz.markdown" }, "rawConfiguration": { - "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://onenr.io/0ERPMX5bPjW).\n\nInstrument Stripe with New Relic using the [documentation](https://docs.newrelic.com).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=Stripe) here and let us know how we can improve it for you." + "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com/catalog-pack-details?state=ea065d39-62ee-d993-3661-a968b518a6d6).\n\nInstrument Stripe with New Relic using the [documentation](https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/stripe-integration/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=Stripe) here and let us know how we can improve it for you." } }, { From 3fcfe57231610612a4c585eee71335412422b120 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Thu, 5 Oct 2023 12:20:52 +0530 Subject: [PATCH 11/77] Openstack controller - Dashboard updated --- dashboards/openstack-controller/openstack-controller.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dashboards/openstack-controller/openstack-controller.json b/dashboards/openstack-controller/openstack-controller.json index 68fe94c1e4..0b8b072f20 100644 --- a/dashboards/openstack-controller/openstack-controller.json +++ b/dashboards/openstack-controller/openstack-controller.json @@ -19,7 +19,7 @@ "id": "viz.markdown" }, "rawConfiguration": { - "text": "![Openstack Controller](https://object-storage-ca-ymq-1.vexxhost.net/swift/v1/6e4619c416ff4bd19e1c087f27a43eea/www-images-prod/openstack-logo/OpenStack-Logo-Vertical.png)" + "text": "![Openstack Controller](https://raw.githubusercontent.com/newrelic/newrelic-quickstarts/main/quickstarts/openstack-controller/logo.png)" } }, { @@ -119,7 +119,7 @@ "id": "viz.markdown" }, "rawConfiguration": { - "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com/).\n\nInstrument Openstack Controller with New Relic using the [documentation](https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/openstack-controller-integration/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=OpenstackController&entry.358368110=https://onenr.io/0EjONkYNDR6) here and let us know how we can improve it for you." + "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com/catalog-pack-details?state=96ef40d3-95de-189c-b44b-845e5ed3663b).\n\nInstrument Openstack Controller with New Relic using the [documentation](https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/openstack-controller-integration/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=OpenstackController&entry.358368110=https://onenr.io/0EjONkYNDR6) here and let us know how we can improve it for you." } }, { @@ -1624,7 +1624,7 @@ "nrqlQueries": [ { "accountIds": [], - "query": "SELECT * FROM Log WHERE logtype = {{log_type}}" + "query": "SELECT * FROM Log WHERE logtype IN ({{log_type}})" } ] } From d9edb1f179fd4d1e8f012147f1f9afadbf559ba3 Mon Sep 17 00:00:00 2001 From: pkosanam Date: Thu, 5 Oct 2023 13:35:23 +0530 Subject: [PATCH 12/77] NR-159530 Jina AI - logo update --- quickstarts/jina-ai/config.yml | 2 +- quickstarts/jina-ai/logo.jpeg | Bin 0 -> 3043 bytes quickstarts/jina-ai/logo.svg | 13 ------------- 3 files changed, 1 insertion(+), 14 deletions(-) create mode 100644 quickstarts/jina-ai/logo.jpeg delete mode 100644 quickstarts/jina-ai/logo.svg diff --git a/quickstarts/jina-ai/config.yml b/quickstarts/jina-ai/config.yml index f8c5a087ad..43b88143fb 100644 --- a/quickstarts/jina-ai/config.yml +++ b/quickstarts/jina-ai/config.yml @@ -19,7 +19,7 @@ description: | - Alerts (errors, request per model and response time) summary: | Improve the visibility of your Jina AI usage with New Relic Jina AI quickstart. -icon: logo.svg +icon: logo.jpeg level: - New Relic authors: diff --git a/quickstarts/jina-ai/logo.jpeg b/quickstarts/jina-ai/logo.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..4c313f647d6c0068a4e467e20791de9850f2c05c GIT binary patch literal 3043 zcmb7F2{_c<8voB`X3Sz{%pglyvm{wVCX6-NDeEYdv1DpUh=j=UeJHXPU#5~JWr;{M zNM*?qz7a~O z&^H4%jR%f^A)z2JH%k1c<)2~B5P*h&05A@Me0H1@m{Jv=JS)%EqZ0e~ax%(6OL;10{&_QtzdS9aX!?#baC_>P^n#rO7 ztgr4%)9@tgQsLmlYnAqQ(y7k=#A9p&f;K5gz`-fH8?$Dy>xP;;n8{rF!@_ zKeMWOJibK4Ffa08W$?KF3r8>4pJ{2mc`Hz~nubsGM-96sl8tG3~YO6M5ue#2I-=bC8h`lc)_t>nJBLjCU6 znx>gKePNDD0^Qp7cLEEo26i65t9vf-HQGq@8m`1!y;RZDX{q5xnHr%{;@&Hz$*#wd 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.../apdex-optimizer/apdex-optimizer.json | 322 ++++++++++++++++++ .../apdex-optimizer/apdex-optimizer.png | Bin 0 -> 598265 bytes quickstarts/apdex-optimizer/config.yml | 75 ++++ quickstarts/apdex-optimizer/logo.svg | 13 + 4 files changed, 410 insertions(+) create mode 100644 dashboards/apdex-optimizer/apdex-optimizer.json create mode 100644 dashboards/apdex-optimizer/apdex-optimizer.png create mode 100644 quickstarts/apdex-optimizer/config.yml create mode 100644 quickstarts/apdex-optimizer/logo.svg diff --git a/dashboards/apdex-optimizer/apdex-optimizer.json b/dashboards/apdex-optimizer/apdex-optimizer.json new file mode 100644 index 0000000000..025ba27127 --- /dev/null +++ b/dashboards/apdex-optimizer/apdex-optimizer.json @@ -0,0 +1,322 @@ +{ + "name": "Apdex Optimizer", + "description": null, + "pages": [ + { + "name": "Apdex Optimizer", + "description": null, + "widgets": [ + { + "title": "Transaction Apdex Breakdown", + "layout": { + "column": 1, + "row": 1, + "width": 2, + "height": 1 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT filter(count(*), WHERE apdexPerfZone = 'S') as 'Satisfied', filter(count(*), WHERE apdexPerfZone = 'T') as 'Tolerating', filter(count(*), WHERE apdexPerfZone = 'F') as 'Frustrated' FROM Transaction SINCE 1 day ago" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Apdex Score", + "layout": { + "column": 3, + "row": 1, + "width": 5, + "height": 4 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.line" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT apdex(duration) from Transaction TIMESERIES facet appName since 1 day ago LIMIT 50" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "yAxisLeft": { + "zero": true + } + } + }, + { + "title": "Transaction Apdex Breakdown", + "layout": { + "column": 8, + "row": 1, + "width": 5, + "height": 4 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT filter(count(*),WHERE transactionType IS NOT NULL ) as 'All Transactions',filter(count(*), WHERE apdexPerfZone = 'S') as 'Satisfied', filter(count(*), WHERE apdexPerfZone = 'T') as 'Tolerating', filter(count(*), WHERE apdexPerfZone = 'F') as 'Frustrated' FROM Transaction facet appName since 1 day ago limit 50" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Suggested APM ApdexT", + "layout": { + "column": 1, + "row": 2, + "width": 2, + "height": 1 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT percentile(duration, 90) as 'Suggested Apdex' FROM Transaction SINCE 1 DAY ago limit 1" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "", + "layout": { + "column": 1, + "row": 3, + "width": 2, + "height": 2 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "\n## Addtional Resources\n\n* **Nerdpack** [nr1-apdex-optimizer](https://github.com/newrelic/nr1-apdex-optimizer)\n* **Automated Apdex Thresholds** [automated-apdex-thresholds](https://github.com/newrelic-experimental/automated-apdex-thresholds)\n\n" + } + }, + { + "title": "Choose APM Application? Filterable", + "layout": { + "column": 1, + "row": 5, + "width": 4, + "height": 4 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "dataFormatters": [ + { + "name": "Avg duration", + "precision": 4, + "type": "decimal" + } + ], + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": " \n\nSELECT count(*), apdex(duration) as 'Apdex Score', average(duration) FROM Transaction FACET appName since 1 day ago limit 200" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Choose Transaction?", + "layout": { + "column": 5, + "row": 5, + "width": 4, + "height": 4 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "dataFormatters": [ + { + "name": "Avg duration", + "precision": 5, + "type": "decimal" + } + ], + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT count(*), apdex(duration) as 'Apdex Score', average(duration) FROM Transaction FACET name since 1 day ago limit 200" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Choose Status Code?", + "layout": { + "column": 9, + "row": 5, + "width": 4, + "height": 4 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT count(*) FROM Transaction FACET http.statusCode LIMIT 50 SINCE 1 day ago" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "", + "layout": { + "column": 1, + "row": 9, + "width": 12, + "height": 1 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "### Recommendations \n________" + } + }, + { + "title": "Application Apdex T Value Recommendation", + "layout": { + "column": 1, + "row": 10, + "width": 6, + "height": 6 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "dataFormatters": [ + { + "name": "Avg duration", + "precision": 3, + "type": "decimal" + } + ], + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT count(*),percentile(duration, 70, 80, 90, 95),apdex(duration) as 'Apdex Score', average(duration) FROM Transaction FACET appName since 1 day ago limit 200" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Transaction Apdex Values Das", + "layout": { + "column": 7, + "row": 10, + "width": 6, + "height": 6 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.table" + }, + "rawConfiguration": { + "dataFormatters": [ + { + "name": "Avg duration", + "precision": 4, + "type": "decimal" + } + ], + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": 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Apdex Score Overview: +- Timeseries chart displaying Apdex scores for each APM application. +- Highlights performance trends over time. + +## 2. Apdex Breakdown: +- Detailed breakdown table showcasing Apdex scores for different aspects of your application. +- Identifies areas of improvement and potential bottlenecks. + +## 3. Transaction-level Insights: +- In-depth Apdex information on individual transactions. +- Pinpoints specific transaction performance for focused optimization. + +## 4. Threshold Recommendations: +- Application Apdex T Value Recommendation table guides optimal threshold settings. +- Helps fine-tune Apdex parameters for enhanced performance monitoring. + +## 5. Transaction Apdex Values: +- Transaction Apdex Values table provides granular insights into transaction-level performance. +- Enables precise adjustments for optimal user satisfaction. + +### Actionable Takeaways: +- Identify and address performance trends through Apdex score patterns. +- Optimize specific transactions based on detailed Apdex insights. +- Fine-tune Apdex thresholds for applications to improve overall monitoring effectiveness. + +### Benefits: +- Enhanced visibility into application performance. +- Proactive identification of potential issues. +- Improved user satisfaction through targeted optimizations. + +This comprehensive Apdex Optimizer dashboard empowers you with actionable data to make informed decisions, ensuring your applications perform at their best. + +# Displayed in search results and recommendations. Summarizes a quickstarts functionality. +summary: | + Comprehensive APM dashboard providing actionable insights, including Apdex scores over time, detailed breakdowns, transaction-level data, and threshold recommendations, empowering users to optimize application performance effectively + +# Support level: New Relic | Verified | Community (required) +level: New Relic + +# Authors of the quickstart (required) +authors: + - Darren Doyle + +# Keywords for filtering / searching criteria in the UI +keywords: + - apm + - transactions + - apdex + - errors + + + +# Reference to dashboards to be included in this quickstart +dashboards: + - apdex-optimizer + +# Documentation references +documentation: + - name: Apdex + url: https://docs.newrelic.com/docs/apm/new-relic-apm/apdex/apdex-measure-user-satisfaction/#change-apdex-settings + description: Apdex is an industry standard to measure users' satisfaction with the response time of web applications and services. + +# Content / Design +icon: logo.svg +website: https://www.newrelic.com diff --git a/quickstarts/apdex-optimizer/logo.svg b/quickstarts/apdex-optimizer/logo.svg new file mode 100644 index 0000000000..ea60419c6b --- /dev/null +++ b/quickstarts/apdex-optimizer/logo.svg @@ -0,0 +1,13 @@ + + + + + + + + + + + + + From a80fe5766f8057ac4a31bc48f0120a3c4e283b7d Mon Sep 17 00:00:00 2001 From: Chris McCarthy Date: Fri, 8 Sep 2023 14:35:25 -0500 Subject: [PATCH 14/77] Datazoom Updates --- .../datazoom_dashboard01.jpg | Bin 0 -> 273621 bytes .../datazoom_dashboard01.png | Bin 129413 -> 0 bytes .../datazoom_dashboard02.jpg | Bin 0 -> 257314 bytes .../datazoom_dashboard02.png | Bin 224821 -> 0 bytes .../datazoom_dashboard03.jpg | Bin 0 -> 209023 bytes .../datazoom_dashboard04.jpg | Bin 0 -> 209822 bytes quickstarts/datazoom/logo.png | Bin 23291 -> 24121 bytes 7 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 dashboards/datazoom-dashboard/datazoom_dashboard01.jpg delete mode 100644 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zazz`Fq6^{m!Tmvrp)F(ZTD{O?;nb|c0@bV|NzGUvSJ{=a zpx^x)-7^(?o-%w;52qFq-w_w_^S+nL8Iv}}K6RP+gNwUmA*Lg}J52cIN JA!*r${2y}z9m4 Date: Wed, 18 Oct 2023 00:05:59 +0200 Subject: [PATCH 15/77] feat: Nvidia gpu quickstart --- dashboards/nvidia-gpu/nvidia-gpu.json | 201 ++++++++++++++++++++++++++ data-sources/nvidia-gpu/config.yml | 26 ++++ data-sources/nvidia-gpu/logo.png | Bin 0 -> 45237 bytes quickstarts/nvidia-gpu/config.yml | 62 ++++++++ quickstarts/nvidia-gpu/logo.png | Bin 0 -> 45237 bytes 5 files changed, 289 insertions(+) create mode 100644 dashboards/nvidia-gpu/nvidia-gpu.json create mode 100644 data-sources/nvidia-gpu/config.yml create mode 100644 data-sources/nvidia-gpu/logo.png create mode 100644 quickstarts/nvidia-gpu/config.yml create mode 100644 quickstarts/nvidia-gpu/logo.png diff --git a/dashboards/nvidia-gpu/nvidia-gpu.json b/dashboards/nvidia-gpu/nvidia-gpu.json new file mode 100644 index 0000000000..7d9f4599ae --- /dev/null +++ b/dashboards/nvidia-gpu/nvidia-gpu.json @@ -0,0 +1,201 @@ +{ + "name": "Nvidia GPU Monitoring", + "description": null, + "permissions": "PUBLIC_READ_WRITE", + "pages": [ + { + "name": "Nvidia GPU Monitoring", + "description": null, + "widgets": [ + { + "visualization": { + "id": "viz.markdown" + }, + "layout": { + "column": 1, + "row": 1, + "height": 1, + "width": 4 + }, + "title": "", + "rawConfiguration": { + "text": "[![NVIDIA SMI](https://logos-download.com/wp-content/uploads/2016/10/Nvidia_logo.png)](https://developer.nvidia.com/nvidia-system-management-interface)\n" + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.billboard" + }, + "layout": { + "column": 5, + "row": 1, + "height": 3, + "width": 2 + }, + "title": "Current Clock Speeds", + "rawConfiguration": { + "dataFormatters": [], + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(clocks.current.memory.MHz) as 'Memory MHz', latest(clocks.current.graphics.MHz) as 'Graphics MHz', latest(clocks.current.video.MHz) as 'Video MHz', latest(clocks.current.sm.MHz) as 'SM MHz' " + } + ], + "thresholds": [] + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.line" + }, + "layout": { + "column": 7, + "row": 1, + "height": 3, + "width": 6 + }, + "title": "Current Clock MHz", + "rawConfiguration": { + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(clocks.current.memory.MHz) as 'Memory MHz', latest(clocks.current.graphics.MHz) as 'Graphics MHz', latest(clocks.current.video.MHz) as 'Video MHz', latest(clocks.current.sm.MHz) as 'SM MHz' TIMESERIES" + } + ], + "yAxisLeft": { + "zero": true + } + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.bar" + }, + "layout": { + "column": 1, + "row": 2, + "height": 2, + "width": 4 + }, + "title": "Select GPU", + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(name) FACET pci.device_id, hostname " + } + ] + }, + "linkedEntityGuids": [ + "MTA2MTA3NHxWSVp8REFTSEJPQVJEfDIyOTkzMTk" + ] + }, + { + "visualization": { + "id": "viz.billboard" + }, + "layout": { + "column": 1, + "row": 4, + "height": 3, + "width": 2 + }, + "title": "Temps", + "rawConfiguration": { + "dataFormatters": [], + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(temperature.gpu) as 'GPU Temp', latest(temperature.memory) as 'Memory Temp', latest(fan.speed.percent) as 'Fan speed %'" + } + ], + "thresholds": [] + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.billboard" + }, + "layout": { + "column": 3, + "row": 4, + "height": 3, + "width": 2 + }, + "title": "Power Usage", + "rawConfiguration": { + "dataFormatters": [], + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(power.draw.watts) as 'Power Draw Watts', latest(`power.limit.watts`) as 'Power Limit Watts', latest(power.draw.watts)/latest(`power.limit.watts`) * 100 as 'Power usage %'" + } + ], + "thresholds": [] + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.billboard" + }, + "layout": { + "column": 5, + "row": 4, + "height": 3, + "width": 2 + }, + "title": "Memory Usage", + "rawConfiguration": { + "dataFormatters": [], + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(memory.free.MiB) as 'Memory Free MiB', latest(memory.used.MiB) as 'Memory Used MiB', latest(memory.total.MiB) as 'Memory Total MiB'" + } + ], + "thresholds": [] + }, + "linkedEntityGuids": null + }, + { + "visualization": { + "id": "viz.line" + }, + "layout": { + "column": 7, + "row": 4, + "height": 3, + "width": 6 + }, + "title": "Utilization", + "rawConfiguration": { + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 123, + "query": "FROM NvidiaGpuSample SELECT latest(memory.used.MiB/memory.total.MiB) * 100 as 'Memory Used %', latest(utilization.gpu.percent) as 'GPU Utilization %', latest(power.draw.watts)/latest(`power.limit.watts`)*100 as 'Power Usage %', latest(fan.speed.percent) as 'Fan Speed %' TIMESERIES" + } + ], + "yAxisLeft": { + "zero": true + } + }, + "linkedEntityGuids": null + } + ] + } + ] + } \ No newline at end of file diff --git a/data-sources/nvidia-gpu/config.yml b/data-sources/nvidia-gpu/config.yml new file mode 100644 index 0000000000..ea884ae7df --- /dev/null +++ b/data-sources/nvidia-gpu/config.yml @@ -0,0 +1,26 @@ +# A unique identifier for the data source +id: nvidia-gpu + +# Display name for the data source +displayName: Nvidia GPU Monitoring + +description: | + Monitor Nvidia GPUs based on the Nvidia SMI utility. + +install: + primary: + link: + url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nvidia-gpu-integration/ + +# An icon for display within the catalog +icon: 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creating a new quickstart. +id: 00000-0000-0000-0000000 + +# Name of the quickstart (required) +slug: nvidia-gpu monitoring + +# Used as the display name for the quickstart +title: Nvidia GPU Monitoring + +description: | + ## Have a quick-start that can guide through installation and curated experiences for nvidiaGPU monitoring + * Data Sources + * Dashboard + * Alerts + +summary: | + Install plan based on infra-agent and documentation to explain the required steps + +# Possible values: New Relic | Verified | Community +# Please consult with pull request reviewers if you think your quickstart should have a support level other than "Community" +level: NewRelic + +authors: + - New Relic + +# These keywords can be mapped to category terms +# which help to categorize quickstarts. +# To have your quickstart appear under a certain category, +# these keywords must include a matching category term, +# see link in the keywords row of the table below. +keywords: + - nvidia + - gpu + -infrastructure + + +# Relevant documentation for this quickstart +documentation: + - name: Installation docs + url: docs.newrelic.com + description: Short description of the documentation link + +# An icon or logo for the quickstart +icon: nvidia-logo.png + +# References to dashboards by file path, the first entry references a dashboard located at `dashboards/example-dashboard` +# For more information on dashboard definitions, see the section below. +dashboards: + - Nvidia GPU Monitoring + +# References to alert policies by file path, the first entry references an alert policy located at `alerts-policies/example-alert-policy` +# For more information on alert policy definitions, see the section below. +alertPolicies: + - high-gpu-memory-utilization + + +# References to data sources by their id. 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a/data-sources/nvidia-gpu/config.yml b/data-sources/nvidia-gpu/config.yml index ea884ae7df..c837e167f7 100644 --- a/data-sources/nvidia-gpu/config.yml +++ b/data-sources/nvidia-gpu/config.yml @@ -1,9 +1,5 @@ -# A unique identifier for the data source id: nvidia-gpu - -# Display name for the data source -displayName: Nvidia GPU Monitoring - +displayName: Nvidia GPUs description: | Monitor Nvidia GPUs based on the Nvidia SMI utility. @@ -12,15 +8,12 @@ install: link: url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nvidia-gpu-integration/ -# An icon for display within the catalog icon: logo.png -# Searchable words or phrases keywords: - infrastructure - nvidia - gpu -# Terms related to the categories for the data source. categoryTerms: - infrastructure \ No newline at end of file diff --git a/quickstarts/nvidia-gpu/config.yml b/quickstarts/nvidia-gpu/config.yml index ab3e44b1ec..6ecb88a130 100644 --- a/quickstarts/nvidia-gpu/config.yml +++ b/quickstarts/nvidia-gpu/config.yml @@ -1,62 +1,38 @@ -# quickstarts/example-category/example-quickstart/config.yml +slug: nvidia-gpu -# This is automatically created by the system, this field should not be included by the author when creating a new quickstart. -id: 00000-0000-0000-0000000 - -# Name of the quickstart (required) -slug: nvidia-gpu monitoring - -# Used as the display name for the quickstart title: Nvidia GPU Monitoring description: | - ## Have a quick-start that can guide through installation and curated experiences for nvidiaGPU monitoring - * Data Sources - * Dashboard - * Alerts + Our NVIDIA GPU integration assists you in monitoring the status of GPUs. + This integration leverages our infrastructure agent and the Flex integration, which is seamlessly integrated with NVIDIA's SMI utility. + It provides you with a pre-built dashboard containing crucial GPU metrics, including GPU utilization, ECC error counts, + active compute processes, clock and performance states, temperature, fan speed, as well as dynamic and static information about each supported device. summary: | - Install plan based on infra-agent and documentation to explain the required steps + Monitor NVidia GPUs performance and state. -# Possible values: New Relic | Verified | Community -# Please consult with pull request reviewers if you think your quickstart should have a support level other than "Community" -level: NewRelic +level: Community authors: - New Relic -# These keywords can be mapped to category terms -# which help to categorize quickstarts. -# To have your quickstart appear under a certain category, -# these keywords must include a matching category term, -# see link in the keywords row of the table below. keywords: - nvidia - gpu - -infrastructure + - infrastructure - -# Relevant documentation for this quickstart documentation: - - name: Installation docs - url: docs.newrelic.com - description: Short description of the documentation link + - name: NVIDIA GPU integration + url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nvidia-gpu-integration/ + description: Monitor the status and performance of NVidia GPUs. -# An icon or logo for the quickstart -icon: nvidia-logo.png +icon: logo.png -# References to dashboards by file path, the first entry references a dashboard located at `dashboards/example-dashboard` -# For more information on dashboard definitions, see the section below. dashboards: - - Nvidia GPU Monitoring + - nvidia-gpu -# References to alert policies by file path, the first entry references an alert policy located at `alerts-policies/example-alert-policy` -# For more information on alert policy definitions, see the section below. alertPolicies: - - high-gpu-memory-utilization - + - nvidia-gpu -# References to data sources by their id. These can be either CORE or a COMMUNITY data source. -# For more information on data source definitions, see the section below. dataSourceIds: - - example-data-source \ No newline at end of file + - nvidia-gpu \ No newline at end of file From 8b7cbda357eac9f9ef0004c827c6928fc284248e Mon Sep 17 00:00:00 2001 From: josemore Date: Wed, 18 Oct 2023 00:27:42 +0200 Subject: [PATCH 17/77] fix: not required fields --- dashboards/nvidia-gpu/nvidia-gpu.json | 22 +++++++--------------- 1 file changed, 7 insertions(+), 15 deletions(-) diff --git a/dashboards/nvidia-gpu/nvidia-gpu.json b/dashboards/nvidia-gpu/nvidia-gpu.json index 7d9f4599ae..854e3d0277 100644 --- a/dashboards/nvidia-gpu/nvidia-gpu.json +++ b/dashboards/nvidia-gpu/nvidia-gpu.json @@ -1,7 +1,6 @@ { "name": "Nvidia GPU Monitoring", "description": null, - "permissions": "PUBLIC_READ_WRITE", "pages": [ { "name": "Nvidia GPU Monitoring", @@ -20,8 +19,7 @@ "title": "", "rawConfiguration": { "text": "[![NVIDIA SMI](https://logos-download.com/wp-content/uploads/2016/10/Nvidia_logo.png)](https://developer.nvidia.com/nvidia-system-management-interface)\n" - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -43,8 +41,7 @@ } ], "thresholds": [] - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -70,8 +67,7 @@ "yAxisLeft": { "zero": true } - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -119,8 +115,7 @@ } ], "thresholds": [] - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -142,8 +137,7 @@ } ], "thresholds": [] - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -165,8 +159,7 @@ } ], "thresholds": [] - }, - "linkedEntityGuids": null + } }, { "visualization": { @@ -192,8 +185,7 @@ "yAxisLeft": { "zero": true } - }, - "linkedEntityGuids": null + } } ] } From 579aee528a13c82de1051b8544d4fa452059b87e Mon Sep 17 00:00:00 2001 From: josemore Date: Wed, 18 Oct 2023 00:32:39 +0200 Subject: [PATCH 18/77] fix: removed linkedEntityGuids --- dashboards/nvidia-gpu/nvidia-gpu.json | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/dashboards/nvidia-gpu/nvidia-gpu.json b/dashboards/nvidia-gpu/nvidia-gpu.json index 854e3d0277..1960651000 100644 --- a/dashboards/nvidia-gpu/nvidia-gpu.json +++ b/dashboards/nvidia-gpu/nvidia-gpu.json @@ -90,10 +90,7 @@ "query": "FROM NvidiaGpuSample SELECT latest(name) FACET pci.device_id, hostname " } ] - }, - "linkedEntityGuids": [ - "MTA2MTA3NHxWSVp8REFTSEJPQVJEfDIyOTkzMTk" - ] + } }, { "visualization": { From 14d392bba0caba164507fb1691a2a3073fdced14 Mon Sep 17 00:00:00 2001 From: josemore Date: Wed, 18 Oct 2023 00:44:36 +0200 Subject: [PATCH 19/77] fix: add screenshot --- dashboards/nvidia-gpu/nvidia-gpu.png | Bin 0 -> 309142 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 dashboards/nvidia-gpu/nvidia-gpu.png diff --git a/dashboards/nvidia-gpu/nvidia-gpu.png b/dashboards/nvidia-gpu/nvidia-gpu.png new file mode 100644 index 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quickstarts/codestream/codestream/config.yml delete mode 100644 quickstarts/codestream/codestream/logo.svg diff --git a/quickstarts/codestream/codestream/config.yml b/quickstarts/codestream/codestream/config.yml deleted file mode 100644 index 9db8b5926d..0000000000 --- a/quickstarts/codestream/codestream/config.yml +++ /dev/null @@ -1,43 +0,0 @@ -id: 29bd9a4a-1c19-4219-9694-0942f6411ce7 -slug: codestream - -description: | - ## What is New Relic CodeStream? - - New Relic CodeStream helps dev teams discuss, review, and understand code. - - ### Get started! - - New Relic CodeStream supercharges development workflows by putting collaboration tools in your IDE. It supports pull requests from GitHub, BitBucket and GitLab, issue management from Jira, Trello, Asana and 9 others, observability from New Relic One and Pixie, and provides code discussion that ties it all together, integrated with Slack, MS Teams, email, and in-editor notifications. - - With the New Relic One integration: - - Click from Errors Inbox right to the code that caused it in your IDE - - Step through stack-traces and method calls, navigating to specific lines of code - - Add production logging on the fly, and see the results, without leaving your editor - - Discover recent errors assigned to you, assign errors, and update their status - - View telemetry such as error rate, throughput and executions/sec for a given method - - Install the extension for [VS Code](https://marketplace.visualstudio.com/items?itemName=CodeStream.codestream), [Visual Studio](https://marketplace.visualstudio.com/items?itemName=CodeStream.codestream-vs), and all [JetBrains](https://plugins.jetbrains.com/plugin/12206-codestream-github-gitlab-bitbucket-prs-and-code-review) editors. - - ### More info - - Check out the [documentation](https://docs.newrelic.com/docs/codestream/) -summary: | - View production telemetry and troubleshoot errors from your IDE -icon: logo.svg -level: New Relic -authors: - - New Relic -title: CodeStream -documentation: - - name: Installation Docs - description: View production telemetry and troubleshoot errors from your IDE - url: >- - https://docs.newrelic.com/docs/codestream/start-here/new-relic-codestream-quick-start/ - - name: New Relic CodeStream Demo - description: See New Relic CodeStream in action - url: https://codestream.com/demo -website: https://codestream.com -# Keywords for filtering / searching criteria in the UI -keywords: - - ide diff --git a/quickstarts/codestream/codestream/logo.svg b/quickstarts/codestream/codestream/logo.svg deleted file mode 100644 index 2de2b10dc1..0000000000 --- a/quickstarts/codestream/codestream/logo.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file From da7ad320d0b68a3fee307b73ff2c96df997cd961 Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Wed, 18 Oct 2023 10:18:21 +0530 Subject: [PATCH 21/77] Updated logo --- quickstarts/tigris/config.yml | 2 +- quickstarts/tigris/logo.png | Bin 24113 -> 0 bytes quickstarts/tigris/logo.svg | 9 +++++++++ 3 files changed, 10 insertions(+), 1 deletion(-) delete mode 100644 quickstarts/tigris/logo.png create mode 100644 quickstarts/tigris/logo.svg diff --git a/quickstarts/tigris/config.yml b/quickstarts/tigris/config.yml index 9c554348f4..aa4f5b6b9b 100644 --- a/quickstarts/tigris/config.yml +++ b/quickstarts/tigris/config.yml @@ -15,7 +15,7 @@ description: | summary: | Monitor your Vector search's performance and quality with New Relic Tigris quickstart. -icon: logo.png +icon: logo.svg level: New Relic authors: - New Relic diff --git a/quickstarts/tigris/logo.png b/quickstarts/tigris/logo.png deleted file mode 100644 index fcdd9217fa2cd519920ab82a2757a07802d49d38..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 24113 zcmZU31y~)w@+j^O#a#*%x8m;Z?(TYUcXuxw+}+*X-HQ7GN^vg~9>06T#bquym9cq^k4r z{t>_dO)Qv$2!<8vM9-9y9ehnYZ0I6>fCQ%Wn$&Kf5pEUDi(VR?1cC0)JaWUv$1~Ef z6brM&T`)i&S^>5vO&HHb42D4zwZztO6NxfGWGqXjNGhfkT5l^O^9^N~J-}vE?DHy}O1LNh9!1a(~ zwE$W~Qyl2o#z4*-!5Mgr-Fj_MX;Y!)kFlHkj9GaDEaoX^2**}6>JTEHsW;cUL~ZOc z7}>RG%%;qyY4o`oI%$NIQOsw%3V#O?t6_Regh8Ac7jKow4?PrFd>q-}l83u60b;

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Oct 2023 10:24:13 +0530 Subject: [PATCH 22/77] changed logo image --- .../mongodb-atlas-vector-search/config.yml | 2 +- .../mongodb-atlas-vector-search/logo.png | Bin 93383 -> 0 bytes .../mongodb-atlas-vector-search/logo.svg | 11 +++++++++++ 3 files changed, 12 insertions(+), 1 deletion(-) delete mode 100644 quickstarts/mongodb-atlas-vector-search/logo.png create mode 100644 quickstarts/mongodb-atlas-vector-search/logo.svg diff --git a/quickstarts/mongodb-atlas-vector-search/config.yml b/quickstarts/mongodb-atlas-vector-search/config.yml index 24d62d7e5a..5a1674e29f 100644 --- a/quickstarts/mongodb-atlas-vector-search/config.yml +++ b/quickstarts/mongodb-atlas-vector-search/config.yml @@ -19,7 +19,7 @@ description: | - Identify popular queries, sources, and content summary: | Monitor your Vector search's performance and quality with New Relic MongoDB Atlas Vector Search quickstart -icon: logo.png +icon: logo.svg level: - New Relic authors: diff --git 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(72%) rename quickstarts/{pg-embedding => postgres-embedding}/logo.png (100%) diff --git a/quickstarts/pg-embedding/config.yml b/quickstarts/postgres-embedding/config.yml similarity index 72% rename from quickstarts/pg-embedding/config.yml rename to quickstarts/postgres-embedding/config.yml index e7de7111c3..06625e47e0 100644 --- a/quickstarts/pg-embedding/config.yml +++ b/quickstarts/postgres-embedding/config.yml @@ -2,7 +2,6 @@ slug: postgres-embedding description: | ## Why should you monitor your usage of Postgres Embedding? - Monitor your vector searches on Postgres Embedding to get visibility on what you send to Postgres Embedding, responses retrieved from Postgres Embedding, latency, usage and errors. ### Track the query performance of your Vector DB @@ -13,24 +12,23 @@ description: | ### What’s included in this quickstart? - - New Relic LangChain monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + Postgres Embedding monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic Postgres Embedding quickstart. + Monitor your Postgres Embedding's performance and quality with New Relic Postgres Embedding quickstart. icon: logo.png level: New Relic authors: - New Relic title: Postgres Embedding documentation: - - name: LangChain Vector Database integration documentation + - name: Postgres Embedding integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your Postgres Embedding, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb diff --git a/quickstarts/pg-embedding/logo.png b/quickstarts/postgres-embedding/logo.png similarity index 100% rename from quickstarts/pg-embedding/logo.png rename to quickstarts/postgres-embedding/logo.png From ddbbbfd5625299e7d2e7ca36e504be8731891cb4 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Wed, 18 Oct 2023 10:38:03 +0530 Subject: [PATCH 26/77] Updated logo image --- quickstarts/docarray-hnswsearch/config.yml | 2 +- quickstarts/docarray-hnswsearch/logo.png | Bin 28189 -> 0 bytes quickstarts/docarray-hnswsearch/logo.svg | 20 ++++++++++++++++++++ 3 files changed, 21 insertions(+), 1 deletion(-) delete mode 100644 quickstarts/docarray-hnswsearch/logo.png create mode 100644 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+ + + + + \ No newline at end of file From a9246f9f1a5b1e33f4593f98ad178e65666261ff Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 10:52:14 +0530 Subject: [PATCH 27/77] Updated the review comments. --- quickstarts/elastic-knn-search/config.yml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/quickstarts/elastic-knn-search/config.yml b/quickstarts/elastic-knn-search/config.yml index 14b6346ecd..c8cc9cdbed 100644 --- a/quickstarts/elastic-knn-search/config.yml +++ b/quickstarts/elastic-knn-search/config.yml @@ -2,7 +2,6 @@ slug: elastic-knn-search description: | ## Why should you monitor your usage of Elastic KNN Search? - Monitor your vector searches on Elastic KNN Search to get visibility on what you send to Elastic KNN Search, responses retrieved from Elastic KNN Search, latency, usage and errors. ### Track the query performance of your Vector DB @@ -12,25 +11,24 @@ description: | By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. - ### What’s included in this quickstart? - - New Relic LangChain monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + ## What’s included in this quickstart? + New Relic Elastic KNN Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic Elastic KNN Search quickstart. + Monitor your Elastic KNN Search's performance and quality with New Relic Elastic KNN Search quickstart. icon: logo.png level: New Relic authors: - New Relic title: Elastic KNN Search documentation: - - name: LangChain Vector Database integration documentation + - name: Elastic KNN Search integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your Elastic KNN Search, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb @@ -47,6 +45,7 @@ keywords: - data science - big data - elasticsearch + - elastic search - mlops - NR1_addData dashboards: From 7e99501f78a2ebd905ee7953dd7be1c269848ae4 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 11:28:23 +0530 Subject: [PATCH 28/77] Updated the documentation name. --- quickstarts/elastic-vector-search/config.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index 6712b4f197..fb9109048e 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -22,16 +22,16 @@ description: | - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic Elastic Vector Search quickstart. + Monitor your Elastic Vector Search's performance and quality with New Relic Elastic Vector Search quickstart. icon: logo.png level: New Relic authors: - New Relic title: Elastic Vector Search documentation: - - name: LangChain Vector Database integration documentation + - name: Elastic Vector Search integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your Elastic Vector Search, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From 63b2e0bdb262e350156aeb3909717217fb8dfde9 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 12:50:14 +0530 Subject: [PATCH 29/77] fix(DocArray InMemorySearch): Updated the documentation name and logo file. --- .../config.yml | 18 ++++++++-------- quickstarts/docarray-inmemorysearch/logo.svg | 20 ++++++++++++++++++ quickstarts/docarray/logo.png | Bin 44546 -> 0 bytes 3 files changed, 29 insertions(+), 9 deletions(-) rename quickstarts/{docarray => docarray-inmemorysearch}/config.yml (57%) create mode 100644 quickstarts/docarray-inmemorysearch/logo.svg delete mode 100644 quickstarts/docarray/logo.png diff --git a/quickstarts/docarray/config.yml b/quickstarts/docarray-inmemorysearch/config.yml similarity index 57% rename from quickstarts/docarray/config.yml rename to quickstarts/docarray-inmemorysearch/config.yml index 25f14aca7a..8e014c2c36 100644 --- a/quickstarts/docarray/config.yml +++ b/quickstarts/docarray-inmemorysearch/config.yml @@ -2,9 +2,8 @@ id: c264449d-e7a1-4497-9b73-df1bdfe79f82 slug: docarray-inmemorysearch description: | - ## Why should you monitor your usage of Doc Array InMemorySearch? - - Monitor your vector searches on Doc Array InMemorySearch to get visibility on what you send to Doc Array InMemorySearch, responses retrieved from Doc Array InMemorySearch, latency, usage and errors. + ## Why should you monitor your usage of DocArray InMemorySearch? + Monitor your vector searches on DocArray InMemorySearch to get visibility on what you send to DocArray InMemorySearch, responses retrieved from DocArray InMemorySearch, latency, usage and errors. ### Track the query performance of your Vector DB Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. @@ -15,27 +14,28 @@ description: | ### What’s included in this quickstart? - New Relic LangChain monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + New Relic DocArray InMemorySearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic Doc Array InMemorySearch quickstart. -icon: logo.png + Monitor your DocArray InMemorySearch performance and quality with New Relic DocArray InMemorySearch quickstart. +icon: logo.svg level: New Relic authors: - New Relic -title: Doc Array InMemorySearch +title: DocArray InMemorySearch documentation: - - name: LangChain Vector Database integration documentation + - name: DocArray InMemorySearch integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your DocArray InMemorySearch, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb keywords: + - docarray inmemorysearch - doc array - vector search - in memory search diff --git a/quickstarts/docarray-inmemorysearch/logo.svg b/quickstarts/docarray-inmemorysearch/logo.svg new file mode 100644 index 0000000000..a3a5c8ae39 --- /dev/null +++ b/quickstarts/docarray-inmemorysearch/logo.svg @@ -0,0 +1,20 @@ + + + docarray-logo_text-light + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/quickstarts/docarray/logo.png b/quickstarts/docarray/logo.png deleted file mode 100644 index e21fc630bf6b3954cf1a256feb79642a461fb696..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 44546 zcmeEuWmr`2x;H5Z(h4HdAPoWn(g*_5NH;1a-7s{C2na}bmvna{A+22m#?mV00{+it-fU`=O>y%5)k^BqdQS@lWyy43w1!(k0xY z_!LpN$mvtjZFmnc8L1{kB*pJO#H26~zl-VT{bu4e#|QeASI<;b=1~dT;%nyJws)(J 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z&3RgXWCjhLv9RXcYY4Q+4xSVnt~vDUZT^(}G@vz;na!^6&HCVL0DWbpFe)zm%bURS z|E&m+QV>wd(fg15gN^;=)MtR_w7UeE{J*ZQ3W6!o|A4@6<#s>R{7=;XbdUd8^?$w! dmg}7ZgK)CN{WRS{aOJ{2Els#aftppo{{fYQ5f1 Date: Wed, 18 Oct 2023 14:38:18 +0530 Subject: [PATCH 30/77] Updated config file. --- quickstarts/postgres-embedding/config.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickstarts/postgres-embedding/config.yml b/quickstarts/postgres-embedding/config.yml index 06625e47e0..99f6a26f86 100644 --- a/quickstarts/postgres-embedding/config.yml +++ b/quickstarts/postgres-embedding/config.yml @@ -7,12 +7,12 @@ description: | ### Track the query performance of your Vector DB Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of your Postgres Embedding: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Postgres Embedding performance and identify areas of improvement. ### What’s included in this quickstart? - Postgres Embedding monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + Postgres Embedding monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Postgres Embedding. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time From d8f23f99821669fde9d4c4612658557dfe353186 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 14:57:30 +0530 Subject: [PATCH 31/77] Updated config file. --- quickstarts/elastic-vector-search/config.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index 6712b4f197..4c0a873871 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -6,11 +6,11 @@ description: | Monitor your vector searches on Elastic Vector Search to get visibility on what you send to Elastic Vector Search, responses retrieved from Elastic Vector Search, latency, usage and errors. - ### Track the query performance of your Vector DB + ### Track the query performance of your Elastic Vector Search Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of Elastic Vector Search + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Elastic Vector Search performance and identify areas of improvement. ### What’s included in this quickstart? From d1dad296e2e13800393bcef6a54b27b6fbbf0e89 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 15:34:33 +0530 Subject: [PATCH 32/77] Updated config file --- quickstarts/elastic-knn-search/config.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/quickstarts/elastic-knn-search/config.yml b/quickstarts/elastic-knn-search/config.yml index c8cc9cdbed..1a369dadf1 100644 --- a/quickstarts/elastic-knn-search/config.yml +++ b/quickstarts/elastic-knn-search/config.yml @@ -2,17 +2,17 @@ slug: elastic-knn-search description: | ## Why should you monitor your usage of Elastic KNN Search? - Monitor your vector searches on Elastic KNN Search to get visibility on what you send to Elastic KNN Search, responses retrieved from Elastic KNN Search, latency, usage and errors. + Monitor your vector searches with Elastic KNN Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Vector DB + ### Track the query performance of your Elastic KNN Search Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: + ### Track the health of Elastic KNN Search By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. ## What’s included in this quickstart? - New Relic Elastic KNN Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain app. These reports include: + New Relic Elastic KNN Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of Elastic KNN Search. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time From 7c3893fa1648b6eff6a6b293a588452ef768fefd Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 15:42:01 +0530 Subject: [PATCH 33/77] Updated the config file. --- quickstarts/postgres-embedding/config.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/quickstarts/postgres-embedding/config.yml b/quickstarts/postgres-embedding/config.yml index 99f6a26f86..eea5feb1cc 100644 --- a/quickstarts/postgres-embedding/config.yml +++ b/quickstarts/postgres-embedding/config.yml @@ -2,13 +2,13 @@ slug: postgres-embedding description: | ## Why should you monitor your usage of Postgres Embedding? - Monitor your vector searches on Postgres Embedding to get visibility on what you send to Postgres Embedding, responses retrieved from Postgres Embedding, latency, usage and errors. + Monitor your vector searches with Postgres Embedding to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Vector DB - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of Postgres Embedding + Track the behavior of Postgres Embedding. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track the health of your Postgres Embedding: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Postgres Embedding performance and identify areas of improvement. + ### Track the health of Postgres Embedding + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Postgres Embedding's performance and identify areas of improvement. ### What’s included in this quickstart? From c9a9eee44de96f5e1eeb22c3467caaa9175d6284 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 <106150577+RamanaReddy8801@users.noreply.github.com> Date: Wed, 18 Oct 2023 15:43:04 +0530 Subject: [PATCH 34/77] Updated review comments Co-authored-by: RAHUL BASU <104448291+rahulbasu-nr@users.noreply.github.com> --- dashboards/openstack-controller/openstack-controller.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dashboards/openstack-controller/openstack-controller.json b/dashboards/openstack-controller/openstack-controller.json index 0b8b072f20..50bc087a04 100644 --- a/dashboards/openstack-controller/openstack-controller.json +++ b/dashboards/openstack-controller/openstack-controller.json @@ -119,7 +119,7 @@ "id": "viz.markdown" }, "rawConfiguration": { - "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com/catalog-pack-details?state=96ef40d3-95de-189c-b44b-845e5ed3663b).\n\nInstrument Openstack Controller with New Relic using the [documentation](https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/openstack-controller-integration/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=OpenstackController&entry.358368110=https://onenr.io/0EjONkYNDR6) here and let us know how we can improve it for you." + "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com/catalog-pack-details?state=96ef40d3-95de-189c-b44b-845e5ed3663b).\n\nInstrument Openstack Controller with New Relic using the [documentation](https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/openstack-controller-integration/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=OpenstackController) here and let us know how we can improve it for you." } }, { From 96a22346d896834e1d4dcbe67c0fa079429aca88 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 15:52:40 +0530 Subject: [PATCH 35/77] Updated the config file. --- quickstarts/docarray-inmemorysearch/config.yml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/quickstarts/docarray-inmemorysearch/config.yml b/quickstarts/docarray-inmemorysearch/config.yml index 8e014c2c36..1c4d20dfac 100644 --- a/quickstarts/docarray-inmemorysearch/config.yml +++ b/quickstarts/docarray-inmemorysearch/config.yml @@ -3,18 +3,17 @@ id: c264449d-e7a1-4497-9b73-df1bdfe79f82 slug: docarray-inmemorysearch description: | ## Why should you monitor your usage of DocArray InMemorySearch? - Monitor your vector searches on DocArray InMemorySearch to get visibility on what you send to DocArray InMemorySearch, responses retrieved from DocArray InMemorySearch, latency, usage and errors. + Monitor your vector searches with DocArray InMemorySearch to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Vector DB - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of DocArray InMemorySearch + Track the behavior of DocArray InMemorySearch. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of DocArray InMemorySearch + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into DocArray InMemorySearch's performance and identify areas of improvement. ### What’s included in this quickstart? - - New Relic DocArray InMemorySearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain. These reports include: + New Relic DocArray InMemorySearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of DocArray InMemorySearch. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time From 67ad19967681a9129db33eff10c5211ae938da37 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 15:56:55 +0530 Subject: [PATCH 36/77] Updated config file --- quickstarts/elastic-knn-search/config.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickstarts/elastic-knn-search/config.yml b/quickstarts/elastic-knn-search/config.yml index 1a369dadf1..de6e92656a 100644 --- a/quickstarts/elastic-knn-search/config.yml +++ b/quickstarts/elastic-knn-search/config.yml @@ -4,11 +4,11 @@ description: | ## Why should you monitor your usage of Elastic KNN Search? Monitor your vector searches with Elastic KNN Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Elastic KNN Search - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of Elastic KNN Search + Track the behavior of Elastic KNN Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. ### Track the health of Elastic KNN Search - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Elastic KNN Search's performance and identify areas of improvement. ## What’s included in this quickstart? From 15fc759aaac92e5fcadfd74b3748e94102a11faf Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 16:01:31 +0530 Subject: [PATCH 37/77] Updated the config file. --- quickstarts/elastic-vector-search/config.yml | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index fb9109048e..12cac2ebba 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -3,19 +3,17 @@ id: 3619a864-7d96-4a6a-9900-758c7e380ec7 slug: elastic-vector-search description: | ## Why should you monitor your usage of Elastic Vector Search? + Monitor your vector searches with Elastic Vector Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - Monitor your vector searches on Elastic Vector Search to get visibility on what you send to Elastic Vector Search, responses retrieved from Elastic Vector Search, latency, usage and errors. - - ### Track the query performance of your Vector DB - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of Elastic Vector Search + Track the behavior of your Elastic Vector Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: + ### Track the health of Elastic Vector Search By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. ### What’s included in this quickstart? - - Elastic Vector Search uses New Relic Langchain monitoring which provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search app. These reports include: + New Relic Elastic Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time From ff86f4ea1eff84ee09dcc59da1cb71c0ad405997 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Wed, 18 Oct 2023 16:02:10 +0530 Subject: [PATCH 38/77] Updated the config file --- quickstarts/elastic-vector-search/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index 12cac2ebba..a3b0a70a72 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -9,7 +9,7 @@ description: | Track the behavior of your Elastic Vector Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. ### Track the health of Elastic Vector Search - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Elastic Vector Search's performance and identify areas of improvement. ### What’s included in this quickstart? From cdb06184ff0b3ebed57b23379a9001b9f19c7ddf Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Wed, 18 Oct 2023 17:09:29 +0530 Subject: [PATCH 39/77] Updated the changes --- quickstarts/tigris/config.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickstarts/tigris/config.yml b/quickstarts/tigris/config.yml index aa4f5b6b9b..284652f526 100644 --- a/quickstarts/tigris/config.yml +++ b/quickstarts/tigris/config.yml @@ -2,10 +2,10 @@ slug: tigris description: | ## Why should you monitor your usage of Tigris? Monitor your vector searches on Tigris to get visibility on what you send to Tigris, responses retrieved from Tigris, latency, usage and errors. - ### Track the query performance of your Vector DB + ### Track the query performance of Tigris Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of Tigris: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Tigris's performance and identify areas of improvement. ### What’s included in this quickstart? New Relic Tigris monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Tigris app. These reports include: From cec6a7ac860f3407f5af2313d6aa6506e93a8ad4 Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Wed, 18 Oct 2023 17:20:18 +0530 Subject: [PATCH 40/77] Updated the changes --- quickstarts/vectara/config.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/quickstarts/vectara/config.yml b/quickstarts/vectara/config.yml index de1af37ceb..85b8a7ffe1 100644 --- a/quickstarts/vectara/config.yml +++ b/quickstarts/vectara/config.yml @@ -1,14 +1,14 @@ slug: vectara description: | ## Why should you monitor your usage of Vectara? - Monitor your vector searches on Vectara to get visibility on what you send to Vectara, responses retrieved from Vectara, latency, usage and errors. - ### Track the query performance of your Vector DB + Monitor your vector searches with Vectara to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. + ### Track the query performance of Vectara Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of Vectara + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Vectara's performance and identify areas of improvement. ### What’s included in this quickstart? - New Relic Vectara monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Vectara app. These reports include: + New Relic Vectara monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of Vectara. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content @@ -24,7 +24,7 @@ title: Vectara documentation: - name: Vectara integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your Vectara, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From 298a466ff52ccf51a78f1d49be5e7504e0b96b39 Mon Sep 17 00:00:00 2001 From: smamindla57 Date: Wed, 18 Oct 2023 22:52:30 +0530 Subject: [PATCH 41/77] chore(Datasource): Add keyword in data source config for AWS cloud watch --- data-sources/amazon-cloudwatch-metric-streams/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/data-sources/amazon-cloudwatch-metric-streams/config.yml b/data-sources/amazon-cloudwatch-metric-streams/config.yml index 97e96b5f63..9a122dd182 100644 --- a/data-sources/amazon-cloudwatch-metric-streams/config.yml +++ b/data-sources/amazon-cloudwatch-metric-streams/config.yml @@ -15,4 +15,5 @@ keywords: - amazon web services - logs - security + - NR1_addData icon: logo.svg From 53f76b9623b2fe696e5c04ab2222126ed25f327a Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Thu, 19 Oct 2023 11:01:43 +0530 Subject: [PATCH 42/77] Updated review comments --- quickstarts/docarray-hnswsearch/config.yml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/quickstarts/docarray-hnswsearch/config.yml b/quickstarts/docarray-hnswsearch/config.yml index d34d6fd8af..7f8e50ba71 100644 --- a/quickstarts/docarray-hnswsearch/config.yml +++ b/quickstarts/docarray-hnswsearch/config.yml @@ -1,19 +1,19 @@ slug: docarray-hnswsearch description: | ## Why should you monitor your usage of DocArray HnswSearch? - Monitor your vector searches on DocArray HnswSearch to get visibility on what you send to DocArray HnswSearch, responses retrieved from DocArray HnswSearch, latency, usage and errors. + Monitor your vector searches with DocArray HnswSearch to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Vector DB - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of DocArray HnswSearch + Track the behavior of DocArray HnswSearch. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of DocArray HnswSearch: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into DocArray HnswSearch's performance and identify areas of improvement. - ## Comprehensive monitoring quickstart for your DocArray HnswSearch app - Our DocArray HnswSearch quickstart provides metrics including Identify popular queries, sources, and content. + ## Comprehensive monitoring quickstart for DocArray HnswSearch + DocArray HnswSearch quickstart provides metrics including Identify popular queries, sources, and content. ## What’s included in this quickstart? - New Relic DocArray HnswSearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your DocArray HnswSearch app. These reports include: + New Relic DocArray HnswSearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your DocArray HnswSearch. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content @@ -29,7 +29,7 @@ title: DocArray HnswSearch documentation: - name: DocArray HnswSearch integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for DocArray HnswSearch, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From 473d34f43e034529077b1c888a33340d6f1b8d81 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Thu, 19 Oct 2023 11:08:52 +0530 Subject: [PATCH 43/77] Updated review changes --- .../mongodb-atlas-vector-search/config.yml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/quickstarts/mongodb-atlas-vector-search/config.yml b/quickstarts/mongodb-atlas-vector-search/config.yml index 5a1674e29f..3f6eb5b6b3 100644 --- a/quickstarts/mongodb-atlas-vector-search/config.yml +++ b/quickstarts/mongodb-atlas-vector-search/config.yml @@ -1,16 +1,16 @@ slug: mongodb-atlas-vector-search description: | ## Why should you monitor your usage of MongoDB Atlas Vector Search? - Monitor your vector searches on MongoDB Atlas Vector Search to get visibility on what you send to MongoDB Atlas Vector Search, responses retrieved from MongoDB Atlas Vector Search, latency, usage and errors. + Monitor your vector searches with MongoDB Atlas Vector Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - ### Track the query performance of your Vector DB - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of MongoDB Atlas Vector Search + Track the behavior of MongoDB Atlas Vector Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of MongoDB Atlas Vector Search: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into MongoDB Atlas Vector Search's performance and identify areas of improvement. - ## Comprehensive monitoring quickstart for your MongoDB Atlas Vector Search app - Our MongoDB Atlas Vector Search quickstart provides metrics including Identify popular queries, sources, and content. + ## Comprehensive monitoring quickstart for MongoDB Atlas Vector Search + MongoDB Atlas Vector Search quickstart provides metrics including Identify popular queries, sources, and content. ## What’s included in this quickstart? New Relic MongoDB Atlas Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your MongoDB Atlas Vector Search app. These reports include: @@ -29,7 +29,7 @@ title: MongoDB Atlas Vector Search documentation: - name: MongoDB Atlas Vector Search integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for MongoDB Atlas Vector Search, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From 97c1be13c033e9e8f68052873c5a3657682a67b1 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Thu, 19 Oct 2023 11:22:24 +0530 Subject: [PATCH 44/77] Updated review comments --- quickstarts/typesense/config.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/quickstarts/typesense/config.yml b/quickstarts/typesense/config.yml index 9eb4c87ffa..956f1994bd 100644 --- a/quickstarts/typesense/config.yml +++ b/quickstarts/typesense/config.yml @@ -3,17 +3,17 @@ description: | ## Why should you monitor your usage of Typesense? Monitor your vector searches on Typesense to get visibility on what you send to Typesense, responses retrieved from Typesense, latency, usage and errors. - ### Track the query performance of your Vector DB + ### Track the query performance of Typesense Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track your app: - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement. + ### Track the health of Typesense: + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Typesense's performance and identify areas of improvement. ## Comprehensive monitoring quickstart for your Typesense app Our Typesense quickstart provides metrics including Identify popular queries, sources, and content. ## What’s included in this quickstart? - New Relic Typesense monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Typesense app. These reports include: + New Relic Typesense monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of Typesense. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content @@ -29,7 +29,7 @@ title: Typesense documentation: - name: Typesense integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for Typesense, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From eacebacef4ee6531d5b0db7df78f2f408a967747 Mon Sep 17 00:00:00 2001 From: DarrenDoyle Date: Thu, 19 Oct 2023 15:45:37 +0100 Subject: [PATCH 45/77] added datasource ID for apdex-optimizer --- data-sources/apdex-optimizer/config.yml | 9 +++++++++ data-sources/apdex-optimizer/logo.svg | 24 ++++++++++++++++++++++++ quickstarts/apdex-optimizer/config.yml | 3 +++ 3 files changed, 36 insertions(+) create mode 100644 data-sources/apdex-optimizer/config.yml create mode 100644 data-sources/apdex-optimizer/logo.svg diff --git a/data-sources/apdex-optimizer/config.yml b/data-sources/apdex-optimizer/config.yml new file mode 100644 index 0000000000..31f1f9760e --- /dev/null +++ b/data-sources/apdex-optimizer/config.yml @@ -0,0 +1,9 @@ +id: browser-segment-investigation +displayName: Browser Segment Investigation Quickstart +description: | + Review the extent of crushed urls so you know which urls you need to add segments for in the browser segment allow list. +install: + primary: + link: + url: https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/customer-experience/quality-foundation-implementation-guide#validate-browser-url-grouping +icon: logo.svg diff --git a/data-sources/apdex-optimizer/logo.svg b/data-sources/apdex-optimizer/logo.svg new file mode 100644 index 0000000000..e0680f2866 --- /dev/null +++ b/data-sources/apdex-optimizer/logo.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/quickstarts/apdex-optimizer/config.yml b/quickstarts/apdex-optimizer/config.yml index 601ecf6076..5cd338dba0 100644 --- a/quickstarts/apdex-optimizer/config.yml +++ b/quickstarts/apdex-optimizer/config.yml @@ -73,3 +73,6 @@ documentation: # Content / Design icon: logo.svg website: https://www.newrelic.com + +dataSourceIds: + - apdex-optimizer \ No newline at end of file From bfd9e80ca42bb453e3d3213d30decb0ff7ad7a7f Mon Sep 17 00:00:00 2001 From: Alec Swanson <70179303+aswanson-nr@users.noreply.github.com> Date: Thu, 19 Oct 2023 09:43:05 -0700 Subject: [PATCH 46/77] chore: Add product codeowners for quickstarts --- .github/CODEOWNERS | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 12a6d567a7..9c95fc0519 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -14,3 +14,4 @@ LICENSE @newrelic/developer-enablement # product/content ownership /dashboards/ @seemantk +/quickstarts/ @seemantk @rahulbasu-nr From f783cd4ce7dfe980dce1a2b92c682441799041c8 Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Thu, 19 Oct 2023 16:58:07 +0000 Subject: [PATCH 47/77] chore: generate UUID(s) [skip ci] --- quickstarts/nvidia-gpu/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/nvidia-gpu/config.yml b/quickstarts/nvidia-gpu/config.yml index 6ecb88a130..ac2c67d986 100644 --- a/quickstarts/nvidia-gpu/config.yml +++ b/quickstarts/nvidia-gpu/config.yml @@ -1,3 +1,4 @@ +id: 6aa90868-0102-4c56-9493-51e9875c6fdb slug: nvidia-gpu title: Nvidia GPU Monitoring From 91228b870d287d7398ee4094ac7dad6166288a99 Mon Sep 17 00:00:00 2001 From: mwu Date: Thu, 19 Oct 2023 15:21:28 -0700 Subject: [PATCH 48/77] feat: Migrate jira-errors-inbox datasource --- data-sources/jira-errors-inbox/config.yml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/data-sources/jira-errors-inbox/config.yml b/data-sources/jira-errors-inbox/config.yml index 8fef35fa18..15bd34201d 100644 --- a/data-sources/jira-errors-inbox/config.yml +++ b/data-sources/jira-errors-inbox/config.yml @@ -3,6 +3,9 @@ displayName: Atlassian Jira for Errors Inbox description: Integrated errors inbox with Atlassian Jira (cloud) to easily create tickets for your errors. install: primary: - link: - url: https://docs.newrelic.com/docs/errors-inbox/errors-inbox/#jira + nerdlet: + nerdletId: marketplace.install-data-source + nerdletState: + dataSourceId: jira-errors-inbox + requiresAccount: false icon: logo.svg From ded6f3fef01f4f42e30d7dfaf0da2b9934bb7a70 Mon Sep 17 00:00:00 2001 From: SuruchiSaboo Date: Fri, 20 Oct 2023 06:49:40 +0530 Subject: [PATCH 49/77] Adding DMS Entity --- .../HighCPUUtilization.yml | 27 ++ .../LowFreeableMemory.yml | 36 ++ .../amazon-database-migration-service.json | 443 ++++++++++++++++++ .../amazon-database-migration-service01.png | Bin 0 -> 652418 bytes .../amazon-database-migration-service02.png | Bin 0 -> 529281 bytes .../config.yml | 33 ++ .../logo.png | Bin 0 -> 12358 bytes 7 files changed, 539 insertions(+) create mode 100644 alert-policies/amazon-database-migration-service/HighCPUUtilization.yml create mode 100644 alert-policies/amazon-database-migration-service/LowFreeableMemory.yml create mode 100644 dashboards/amazon-database-migration-service/amazon-database-migration-service.json create mode 100644 dashboards/amazon-database-migration-service/amazon-database-migration-service01.png create mode 100644 dashboards/amazon-database-migration-service/amazon-database-migration-service02.png create mode 100644 quickstarts/aws/amazon-database-migration-service/config.yml create mode 100644 quickstarts/aws/amazon-database-migration-service/logo.png diff --git a/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml b/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml new file mode 100644 index 0000000000..84eebeeacd --- /dev/null +++ b/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml @@ -0,0 +1,27 @@ +name: High CPU Utilization + +description: |+ + This alert is triggered when the CPU Utilization is above 90%. + +type: STATIC +nrql: + query: "SELECT average(`aws.dms.CPUUtilization`) as 'Query' FROM Metric" + +# Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) +valueFunction: SINGLE_VALUE + +# List of Critical and Warning thresholds for the condition +terms: + - priority: CRITICAL + # Operator used to compare against the threshold. + operator: ABOVE + # Value that triggers a violation + threshold: 90 + # Time in seconds; 120 - 3600 + thresholdDuration: 300 + # How many data points must be in violation for the duration + thresholdOccurrences: ALL + +# Duration after which a violation automatically closes +# Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) +violationTimeLimitSeconds: 86400 diff --git a/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml b/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml new file mode 100644 index 0000000000..15a0a90a12 --- /dev/null +++ b/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml @@ -0,0 +1,36 @@ +name: Low Freeable Memory + +description: |+ + This alert occurs when Freeable Memory bytes go below 100 for 5 minutes + +type: STATIC + +nrql: + query: "SELECT average(aws.dms.FreeableMemory) from Metric" + +# Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) +valueFunction: SINGLE_VALUE + +# List of Critical and Warning thresholds for the condition +terms: + - priority: CRITICAL + # Operator used to compare against the threshold. + operator: BELOW + # Value that triggers a violation; float value + threshold: 100 + # Time in seconds; 120 - 3600 + thresholdDuration: 300 + # How many data points must be in violation for the duration + thresholdOccurrences: ALL + + # Adding a Warning threshold is optional + - priority: WARNING + operator: BELOW + threshold: 95 + thresholdDuration: 300 + thresholdOccurrences: ALL + +# Duration after which a violation automatically closes +# Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) +violationTimeLimitSeconds: 86400 + diff --git a/dashboards/amazon-database-migration-service/amazon-database-migration-service.json b/dashboards/amazon-database-migration-service/amazon-database-migration-service.json new file mode 100644 index 0000000000..f42e5a2725 --- /dev/null +++ b/dashboards/amazon-database-migration-service/amazon-database-migration-service.json @@ -0,0 +1,443 @@ +{ + "name": "Amazon Database Migration Service(DMS)", + "description": null, + "pages": [ + { + "name": "Replication Task Metrics", + "description": null, + "widgets": [ + { + "title": "", + "layout": { + "column": 1, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "# AWS Database Migration Service\nIt is a managed migration and replication service that helps move your database and analytics workloads to AWS quickly, securely, and with minimal downtime and zero data loss." + } + }, + { + "title": "CDC Changes Memory Source", + "layout": { + "column": 3, + "row": 1, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.CDCChangesMemorySource) as 'CDC Changes Memory Source'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "Full Load Throughput Rows Target (Rows per second)", + "layout": { + "column": 5, + "row": 1, + "width": 4, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.FullLoadThroughputRowsTarget) AS 'Full Load Throughput Rows Target' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Full Load Throughput Bandwidth Target (KB per second)", + "layout": { + "column": 9, + "row": 1, + "width": 4, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.FullLoadThroughputBandwidthTarget) AS 'Full Load Throughput Bandwidth Target' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "CDC Changes Memory Target", + "layout": { + "column": 3, + "row": 2, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.CDCChangesMemoryTarget) as 'CDC Changes Memory Target'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "CDC Incoming Changes", + "layout": { + "column": 1, + "row": 3, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.CDCIncomingChanges) as 'CDC Incoming Changes'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "CDC Throughput Rows Source (Rows per second)", + "layout": { + "column": 3, + "row": 3, + "width": 3, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CDCThroughputRowsSource) AS 'CDC Throughput Rows Source' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "CDC Throughput Rows Target (Rows per second)", + "layout": { + "column": 6, + "row": 3, + "width": 3, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CDCThroughputRowsTarget) AS 'CDC Throughput Rows Target' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "CDC Latency Target", + "layout": { + "column": 9, + "row": 3, + "width": 4, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CDCLatencyTarget) AS 'CDC Latency Target' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "SECONDS" + } + } + }, + { + "title": "CDC Changes Disk Source", + "layout": { + "column": 1, + "row": 4, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.CDCChangesDiskSource) as 'CDC Changes Disk Source'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "CDC Changes Disk Target", + "layout": { + "column": 1, + "row": 5, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.CDCChangesDiskTarget) as 'CDC Changes Disk Target'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "Memory Usage", + "layout": { + "column": 1, + "row": 6, + "width": 4, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.MemoryUsage)*1000000 AS 'Memory Usage' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "CDC Latency Source", + "layout": { + "column": 5, + "row": 6, + "width": 4, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CDCLatencySource) AS 'CDC Latency Source' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": 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Take a look at our documentation for information on how to set up this integration. + ### More info + Check out the [documentation](https://docs.newrelic.com/docs/infrastructure/amazon-integrations/aws-integrations-list/amazon-database-migration-service-monitoring-integration/) to learn more about New Relic monitoring for Amazon Database Migration Service. +summary: |- + Monitor Amazon Database Migration Service by connecting AWS to New Relic +icon: logo.png +level: New Relic +authors: + - New Relic +title: Amazon Database Migration Service +documentation: + - name: Amazon Database Migration Service installation docs + description: | + Monitor Amazon Database Migration Service by connecting AWS to New Relic. + url: >- + https://docs.newrelic.com/docs/infrastructure/amazon-integrations/aws-integrations-list/amazon-database-migration-service-monitoring-integration/ +keywords: + - aws + - amazon web services + - Database Migration Service + - dms + - database migration service +alertPolicies: + - amazon-database-migration-service +dashboards: + - amazon-database-migration-service +dataSourceIds: + - amazon-cloudwatch-metric-streams \ No newline at end of file diff --git a/quickstarts/aws/amazon-database-migration-service/logo.png b/quickstarts/aws/amazon-database-migration-service/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..5cb1e87a7cee360ecf39935d0427f6a529fb61da GIT binary patch literal 12358 zcmX|n2|QHa`~SIfhp`StS(;&_(r!}9Sg++%T1cy_O{JPX?Glsvw5iZy z$u?3U+f-y{2xA}nzWmSV`}@!9Rpy@Up65Kv`~5s;F56gdla*4H0szQvx3t&`00Dj_ z00|WS$$z%25C9a|?Arg&+}xbS;U;72Uxt>YhC9m592&MBZPVXctZz|d;n-|uS7&Tf zsb^Mz?XS|qzG8c;wz>$ggEf|}o!I^wOZV>0hIxj&ei+;Q+RFTc?XBFbpKHPVv*Tp1 z*}*zv>mNHjg`4!Ujd%Spvun^Z&fjdDziD%(;jZ#szC*iw26lJ}H*Lz)(aG4fIor&k zNr#@c%V%hZXRmeOnB~dt9bN-En=&@*=WRC3r?3CGNiWxMN9iu#5sSmkmhPQ;#$S#1 zR$2#5(AU1V_8-yFNwW!_(zh(tH!HCAAJfAMEL{b=;0pAQ`j*8Oj(>LfkJyCHY;|d~ z4xF%b5m=t=rLRt*uYbQ;FL(XQr1h&)%nsI=9d6P$E7IRuWD_(+Uz=hRG+`4wvo~yx zPXAcbFkVwPx_)(1N?Om=TP^Q1g>_96Heqw`GkV7-W|Q7`boWiW_|#5K&0V?KeAKh5 zuYbCxX>w*}&NYyq^0C|1zp<=h^mEbh@W^a)+vLxxu{Wv0<9_vrJ?iV4r&4nUN_azc zjpMC?$+#EYAy?a(u0Q;*_Poy;Ja?lPMwB3yBD&ma} z4NYf%8H#-+eDr!S`O^T?zvaUxVgKOFjfWk%U;6(`9&q;jZ4)|IQ9EvRq}su&rM+wV zN=)zN>y7`t?t1XJ{c&Q?Zs*#f(xGEP?FWzj-hQn0!oA+6Ka*GPw8uQ{{#G*N9nv&4 zGnZR9^6dTKp@6Qg?y0Q~wbss!>7R#7evZBTICzrP5OncRW6Q*yI6=sbo^6NgZ#))W zyVthYt?A~2*5}DR*7iTP9jyG6+ZPtqWP76F^u>;EWuxvPtp{CegCZLI&;L0W-RyU^ zfqA0B%(~p%=I8OV-AotWNxWmLckyuw?zGx@L6ht2m_hTj%ixwag3tz>#P zSU5CzgfyG%D!X(`u-CC-yJO=&_SHMwJ5J+&{yEZ=_f@#nvB{FzXuPBNpM#Z#mc=GJ zN{lVP*ELTV?pB=7(9jc{)d}I$__@I+?P6z3;n*a@3+f4wz+7nWN2^Daow$|CB$u>W&QVk z|1;jvrp2|Z{I!?HxI1~vdE(4EZqG&=WWyRhQKk0 z?#xk#oqxv5m$@d%#g7~*pEN2r|4FcY_qoz3Y(mra-|?>HIkVO4g3oGZPF_hWNU(j? 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- + AWS Database Migration Service (AWS DMS) is a web service you can use to migrate data from your database that is on-premises, on an Amazon Relational Database Service (Amazon RDS) DB instance, or in a database on an Amazon Elastic Compute Cloud (Amazon EC2) instance to a database on an AWS service. ### Get started! Start monitoring Amazon Database Migration Service by connecting Amazon Web Services (AWS) to New Relic! Take a look at our documentation for information on how to set up this integration. ### More info From 3f32bf1bd57f4b1853c976dafe5c532819d156d3 Mon Sep 17 00:00:00 2001 From: DarrenDoyle Date: Fri, 20 Oct 2023 10:00:07 +0100 Subject: [PATCH 51/77] Update config.yml --- data-sources/apdex-optimizer/config.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data-sources/apdex-optimizer/config.yml b/data-sources/apdex-optimizer/config.yml index 31f1f9760e..9b13e98039 100644 --- a/data-sources/apdex-optimizer/config.yml +++ b/data-sources/apdex-optimizer/config.yml @@ -1,9 +1,9 @@ -id: browser-segment-investigation -displayName: Browser Segment Investigation Quickstart +id: apdex-optimizer +displayName: Apdex Optimizer description: | - Review the extent of crushed urls so you know which urls you need to add segments for in the browser segment allow list. + Comprehensive APM dashboard providing actionable insights, including Apdex scores over time, detailed breakdowns, transaction-level data, and threshold recommendations, empowering users to optimize application performance effectively install: primary: link: - url: https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/customer-experience/quality-foundation-implementation-guide#validate-browser-url-grouping + url: https://docs.newrelic.com/docs/apm/new-relic-apm/apdex/apdex-measure-user-satisfaction/ icon: logo.svg From ca453701b6a92cac4e4e7a5bdf67e6182a58da99 Mon Sep 17 00:00:00 2001 From: pkosanam Date: Fri, 20 Oct 2023 16:43:28 +0530 Subject: [PATCH 52/77] NR-172058 Nextcloud - datasource update --- data-sources/nextcloud/config.yml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/data-sources/nextcloud/config.yml b/data-sources/nextcloud/config.yml index 580eb62f3a..560be37e65 100644 --- a/data-sources/nextcloud/config.yml +++ b/data-sources/nextcloud/config.yml @@ -4,6 +4,9 @@ description: | Use our infrastructure agent and the Prometheus open metric integration to monitor the performance of the processes on your Nextcloud server. install: primary: - link: - url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nextcloud-integration/ + nerdlet: + nerdletId: marketplace.install-data-source + nerdletState: + dataSourceId: nextcloud + requiresAccount: false icon: logo.png From 1024ba6de70031f8923a04050328eb2fcda48c05 Mon Sep 17 00:00:00 2001 From: pkosanam Date: Sat, 21 Oct 2023 10:50:47 +0530 Subject: [PATCH 53/77] NR-172312 Dojo - Update Datasource --- data-sources/dojo/config.yml | 7 +++++-- install/dojo/install.yml | 13 ------------- quickstarts/dojo/config.yml | 2 -- 3 files changed, 5 insertions(+), 17 deletions(-) delete mode 100644 install/dojo/install.yml diff --git a/data-sources/dojo/config.yml b/data-sources/dojo/config.yml index 16343a3af2..8beb898d7f 100644 --- a/data-sources/dojo/config.yml +++ b/data-sources/dojo/config.yml @@ -4,6 +4,9 @@ description: | With New Relic, monitor your Dojo solution to get full visibility into the core web vitals performance of your application or website. install: primary: - link: - url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/dojo-io-integration/ + nerdlet: + nerdletId: marketplace.install-data-source + nerdletState: + dataSourceId: dojo + requiresAccount: false icon: logo.png diff --git a/install/dojo/install.yml b/install/dojo/install.yml deleted file mode 100644 index a09d4c7774..0000000000 --- a/install/dojo/install.yml +++ /dev/null @@ -1,13 +0,0 @@ -id: dojo -name: Dojo -title: Dojo monitoring -description: | - With New Relic, monitor your Dojo solution to get full visibility into the core web vitals performance of your application or website. -target: - type: agent - destination: application - -install: - mode: link - destination: - url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/dojo-io-integration/ \ No newline at end of file diff --git a/quickstarts/dojo/config.yml b/quickstarts/dojo/config.yml index 31c07c0d5b..2667a0cd37 100644 --- a/quickstarts/dojo/config.yml +++ b/quickstarts/dojo/config.yml @@ -33,8 +33,6 @@ documentation: keywords: - dojo - browser monitoring -installPlans: - - dojo dataSourceIds: - dojo dashboards: From d2b222777f83d506c1d941412b027b4b260ed94a Mon Sep 17 00:00:00 2001 From: SuruchiSaboo <131760733+SuruchiSaboo@users.noreply.github.com> Date: Wed, 25 Oct 2023 11:01:20 +0530 Subject: [PATCH 54/77] Update HighCPUUtilization.yml --- .../amazon-database-migration-service/HighCPUUtilization.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml b/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml index 84eebeeacd..b1ebb6b97e 100644 --- a/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml +++ b/alert-policies/amazon-database-migration-service/HighCPUUtilization.yml @@ -15,7 +15,7 @@ terms: - priority: CRITICAL # Operator used to compare against the threshold. operator: ABOVE - # Value that triggers a violation + # Value in % that triggers a violation threshold: 90 # Time in seconds; 120 - 3600 thresholdDuration: 300 From f7c388112553f94cfbedb3017704099b78115d2d Mon Sep 17 00:00:00 2001 From: SuruchiSaboo <131760733+SuruchiSaboo@users.noreply.github.com> Date: Wed, 25 Oct 2023 11:02:30 +0530 Subject: [PATCH 55/77] Update LowFreeableMemory.yml --- .../amazon-database-migration-service/LowFreeableMemory.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml b/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml index 15a0a90a12..31b8c2eb1c 100644 --- a/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml +++ b/alert-policies/amazon-database-migration-service/LowFreeableMemory.yml @@ -1,7 +1,7 @@ name: Low Freeable Memory description: |+ - This alert occurs when Freeable Memory bytes go below 100 for 5 minutes + This alert occurs when Freeable Memory go below 100 Bytes for 5 minutes type: STATIC @@ -16,7 +16,7 @@ terms: - priority: CRITICAL # Operator used to compare against the threshold. operator: BELOW - # Value that triggers a violation; float value + # Value in Bytes that triggers violation threshold: 100 # Time in seconds; 120 - 3600 thresholdDuration: 300 @@ -26,6 +26,7 @@ terms: # Adding a Warning threshold is optional - priority: WARNING operator: BELOW + # Value in Bytes that triggers violation threshold: 95 thresholdDuration: 300 thresholdOccurrences: ALL From 67c594d234322d8cf11104753980de958567b82b Mon Sep 17 00:00:00 2001 From: DarrenDoyle Date: Wed, 25 Oct 2023 09:45:45 +0100 Subject: [PATCH 56/77] Update config.yml fixed indent --- quickstarts/apdex-optimizer/config.yml | 68 +++++++++++++------------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/quickstarts/apdex-optimizer/config.yml b/quickstarts/apdex-optimizer/config.yml index 5cd338dba0..a0087ad059 100644 --- a/quickstarts/apdex-optimizer/config.yml +++ b/quickstarts/apdex-optimizer/config.yml @@ -6,39 +6,39 @@ title: Apdex Optimizer # Long-form description of the quickstart (required) description: | - # Summary of Apdex Optimizer Dashboard - -## 1. Apdex Score Overview: -- Timeseries chart displaying Apdex scores for each APM application. -- Highlights performance trends over time. - -## 2. Apdex Breakdown: -- Detailed breakdown table showcasing Apdex scores for different aspects of your application. -- Identifies areas of improvement and potential bottlenecks. - -## 3. Transaction-level Insights: -- In-depth Apdex information on individual transactions. -- Pinpoints specific transaction performance for focused optimization. - -## 4. Threshold Recommendations: -- Application Apdex T Value Recommendation table guides optimal threshold settings. -- Helps fine-tune Apdex parameters for enhanced performance monitoring. - -## 5. Transaction Apdex Values: -- Transaction Apdex Values table provides granular insights into transaction-level performance. -- Enables precise adjustments for optimal user satisfaction. - -### Actionable Takeaways: -- Identify and address performance trends through Apdex score patterns. -- Optimize specific transactions based on detailed Apdex insights. -- Fine-tune Apdex thresholds for applications to improve overall monitoring effectiveness. - -### Benefits: -- Enhanced visibility into application performance. -- Proactive identification of potential issues. -- Improved user satisfaction through targeted optimizations. - -This comprehensive Apdex Optimizer dashboard empowers you with actionable data to make informed decisions, ensuring your applications perform at their best. + **Summary of Apdex Optimizer Dashboard** + + ## 1. Apdex Score Overview: + - Timeseries chart displaying Apdex scores for each APM application. + - Highlights performance trends over time. + + ## 2. Apdex Breakdown: + - Detailed breakdown table showcasing Apdex scores for different aspects of your application. + - Identifies areas of improvement and potential bottlenecks. + + ## 3. Transaction-level Insights: + - In-depth Apdex information on individual transactions. + - Pinpoints specific transaction performance for focused optimization. + + ## 4. Threshold Recommendations: + - Application Apdex T Value Recommendation table guides optimal threshold settings. + - Helps fine-tune Apdex parameters for enhanced performance monitoring. + + ## 5. Transaction Apdex Values: + - Transaction Apdex Values table provides granular insights into transaction-level performance. + - Enables precise adjustments for optimal user satisfaction. + + ### Actionable Takeaways: + - Identify and address performance trends through Apdex score patterns. + - Optimize specific transactions based on detailed Apdex insights. + - Fine-tune Apdex thresholds for applications to improve overall monitoring effectiveness. + + ### Benefits: + - Enhanced visibility into application performance. + - Proactive identification of potential issues. + - Improved user satisfaction through targeted optimizations. + + This comprehensive Apdex Optimizer dashboard empowers you with actionable data to make informed decisions, ensuring your applications perform at their best. # Displayed in search results and recommendations. Summarizes a quickstarts functionality. summary: | @@ -75,4 +75,4 @@ icon: logo.svg website: https://www.newrelic.com dataSourceIds: - - apdex-optimizer \ No newline at end of file + - apdex-optimizer From 1cbce21df1a2fbb7d4c761e3136a346603421072 Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Wed, 25 Oct 2023 15:17:18 +0000 Subject: [PATCH 57/77] chore: generate UUID(s) [skip ci] --- quickstarts/tigris/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/tigris/config.yml b/quickstarts/tigris/config.yml index 284652f526..ae725fc47c 100644 --- a/quickstarts/tigris/config.yml +++ b/quickstarts/tigris/config.yml @@ -1,3 +1,4 @@ +id: b708e579-49a7-471c-9579-c68fcf53083c slug: tigris description: | ## Why should you monitor your usage of Tigris? From 41203378a426b873fdd611abf9f1df3c39e20463 Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Wed, 25 Oct 2023 15:27:34 +0000 Subject: [PATCH 58/77] chore: generate UUID(s) [skip ci] --- quickstarts/typesense/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/typesense/config.yml b/quickstarts/typesense/config.yml index 956f1994bd..4f328d02ef 100644 --- a/quickstarts/typesense/config.yml +++ b/quickstarts/typesense/config.yml @@ -1,3 +1,4 @@ +id: e9e125ff-2fe7-47b5-8a29-2a43b95136ec slug: typesense description: | ## Why should you monitor your usage of Typesense? From dc7cbc4c9911a57084933cb28b90cb230bf52fca Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Wed, 25 Oct 2023 15:47:36 +0000 Subject: [PATCH 59/77] chore: generate UUID(s) [skip ci] --- quickstarts/mongodb-atlas-vector-search/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/mongodb-atlas-vector-search/config.yml b/quickstarts/mongodb-atlas-vector-search/config.yml index 3f6eb5b6b3..b71c3480cf 100644 --- a/quickstarts/mongodb-atlas-vector-search/config.yml +++ b/quickstarts/mongodb-atlas-vector-search/config.yml @@ -1,3 +1,4 @@ +id: 5f20a4e7-c554-44dd-8077-7f7d43456915 slug: mongodb-atlas-vector-search description: | ## Why should you monitor your usage of MongoDB Atlas Vector Search? From 7b15a92caf4984fee2e51c0a634731354ba7b3ce Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Thu, 26 Oct 2023 05:17:54 +0000 Subject: [PATCH 60/77] chore: generate UUID(s) [skip ci] --- quickstarts/docarray-hnswsearch/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/docarray-hnswsearch/config.yml b/quickstarts/docarray-hnswsearch/config.yml index 7f8e50ba71..77facdc52a 100644 --- a/quickstarts/docarray-hnswsearch/config.yml +++ b/quickstarts/docarray-hnswsearch/config.yml @@ -1,3 +1,4 @@ +id: 9127f544-8f32-4250-9d2f-2b4be09e281d slug: docarray-hnswsearch description: | ## Why should you monitor your usage of DocArray HnswSearch? From 17e34904473bf1086da8e6046c4e321ff5c6dece Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Thu, 26 Oct 2023 05:28:34 +0000 Subject: [PATCH 61/77] chore: generate UUID(s) [skip ci] --- quickstarts/vectara/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/vectara/config.yml b/quickstarts/vectara/config.yml index 85b8a7ffe1..4eb8493544 100644 --- a/quickstarts/vectara/config.yml +++ b/quickstarts/vectara/config.yml @@ -1,3 +1,4 @@ +id: 1b92a44e-44a4-4e46-a563-85003d4362df slug: vectara description: | ## Why should you monitor your usage of Vectara? From 709899c3b53c06d1828a4753957d1cf135a27565 Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Thu, 26 Oct 2023 06:20:32 +0000 Subject: [PATCH 62/77] chore: generate UUID(s) [skip ci] --- quickstarts/postgres-embedding/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/postgres-embedding/config.yml b/quickstarts/postgres-embedding/config.yml index eea5feb1cc..bb32ff10cc 100644 --- a/quickstarts/postgres-embedding/config.yml +++ b/quickstarts/postgres-embedding/config.yml @@ -1,3 +1,4 @@ +id: 7f885669-3254-4f92-9e44-2c4d8d7d0014 slug: postgres-embedding description: | From fb6d22428aaabda8b6589bb662ff779f66a54557 Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Thu, 26 Oct 2023 17:21:17 +0530 Subject: [PATCH 63/77] Reverted --- quickstarts/elastic-vector-search/config.yml | 20 +++++++++----------- 1 file changed, 9 insertions(+), 11 deletions(-) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index 4c0a873871..a3b0a70a72 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -3,35 +3,33 @@ id: 3619a864-7d96-4a6a-9900-758c7e380ec7 slug: elastic-vector-search description: | ## Why should you monitor your usage of Elastic Vector Search? + Monitor your vector searches with Elastic Vector Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors. - Monitor your vector searches on Elastic Vector Search to get visibility on what you send to Elastic Vector Search, responses retrieved from Elastic Vector Search, latency, usage and errors. - - ### Track the query performance of your Elastic Vector Search - Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. + ### Track the query performance of Elastic Vector Search + Track the behavior of your Elastic Vector Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance. - ### Track the health of Elastic Vector Search - By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Elastic Vector Search performance and identify areas of improvement. + ### Track the health of Elastic Vector Search + By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Elastic Vector Search's performance and identify areas of improvement. ### What’s included in this quickstart? - - Elastic Vector Search uses New Relic Langchain monitoring which provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search app. These reports include: + New Relic Elastic Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search. These reports include: - Vector searches - Alerts for errors, search per vector store, and response time - Identify popular queries, sources, and content summary: | - Monitor your Vector search's performance and quality with New Relic Elastic Vector Search quickstart. + Monitor your Elastic Vector Search's performance and quality with New Relic Elastic Vector Search quickstart. icon: logo.png level: New Relic authors: - New Relic title: Elastic Vector Search documentation: - - name: LangChain Vector Database integration documentation + - name: Elastic Vector Search integration documentation description: | - Implement monitoring and instrumentation for your Vector store, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. + Implement monitoring and instrumentation for your Elastic Vector Search, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights. url: https://github.com/newrelic/nr-openai-observability dataSourceIds: - langchain-vectordb From 6e43e0fcf19f314d390f01a9f60a2b266253d29e Mon Sep 17 00:00:00 2001 From: pkudikyala Date: Thu, 26 Oct 2023 17:25:24 +0530 Subject: [PATCH 64/77] reverted --- quickstarts/elastic-vector-search/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/elastic-vector-search/config.yml b/quickstarts/elastic-vector-search/config.yml index 5a68c9ed2f..a3b0a70a72 100644 --- a/quickstarts/elastic-vector-search/config.yml +++ b/quickstarts/elastic-vector-search/config.yml @@ -11,6 +11,7 @@ description: | ### Track the health of Elastic Vector Search By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Elastic Vector Search's performance and identify areas of improvement. + ### What’s included in this quickstart? New Relic Elastic Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search. These reports include: From 94d70a9f259d8cc4dc364539b4de22c837295309 Mon Sep 17 00:00:00 2001 From: jcountsNR <94138069+jcountsNR@users.noreply.github.com> Date: Thu, 26 Oct 2023 09:30:20 -0700 Subject: [PATCH 65/77] chore: fix jfrog adddata --- quickstarts/jfrog-platform/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/jfrog-platform/config.yml b/quickstarts/jfrog-platform/config.yml index fb39f68fa0..e176a33e3d 100644 --- a/quickstarts/jfrog-platform/config.yml +++ b/quickstarts/jfrog-platform/config.yml @@ -34,6 +34,7 @@ keywords: - xray - security - featured + - NR1_addData documentation: - name: JFrog Observability Solution url: https://github.com/jfrog/log-analytics-newrelic From d8023cbca1710a85850cdb26fc0ebb542ea99b2d Mon Sep 17 00:00:00 2001 From: jcountsNR <94138069+jcountsNR@users.noreply.github.com> Date: Thu, 26 Oct 2023 14:01:19 -0700 Subject: [PATCH 66/77] chore: update jfrog documentation --- data-sources/jfrog-platform/config.yml | 2 +- install/third-party/jfrog-platform/install.yml | 2 +- quickstarts/jfrog-platform/config.yml | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/data-sources/jfrog-platform/config.yml b/data-sources/jfrog-platform/config.yml index e408be9708..d3bffb1bd1 100644 --- a/data-sources/jfrog-platform/config.yml +++ b/data-sources/jfrog-platform/config.yml @@ -4,5 +4,5 @@ description: Observe JFrog Platform and gain insights using New Relic Observabil install: primary: link: - url: https://github.com/jfrog/log-analytics-newrelic + url: https://jfrog.com/help/r/jfrog-platform-administration-documentation/new-relic icon: icon.svg diff --git a/install/third-party/jfrog-platform/install.yml b/install/third-party/jfrog-platform/install.yml index 7a108195e6..44bda59007 100644 --- a/install/third-party/jfrog-platform/install.yml +++ b/install/third-party/jfrog-platform/install.yml @@ -11,4 +11,4 @@ target: install: mode: link destination: - url: https://github.com/jfrog/log-analytics-newrelic \ No newline at end of file + url: https://jfrog.com/help/r/jfrog-platform-administration-documentation/new-relic \ No newline at end of file diff --git a/quickstarts/jfrog-platform/config.yml b/quickstarts/jfrog-platform/config.yml index e176a33e3d..cb48405615 100644 --- a/quickstarts/jfrog-platform/config.yml +++ b/quickstarts/jfrog-platform/config.yml @@ -37,9 +37,9 @@ keywords: - NR1_addData documentation: - name: JFrog Observability Solution - url: https://github.com/jfrog/log-analytics-newrelic + url: https://jfrog.com/help/r/jfrog-platform-administration-documentation/new-relic description: | - JFrog Github documentation + JFrog integration documentation icon: icon.svg dashboards: - jfrog-artifactory From 356e7d19f16962e5620d4f7ce2c631d9a7924547 Mon Sep 17 00:00:00 2001 From: csalvador-nr <118179155+csalvador-nr@users.noreply.github.com> Date: Fri, 27 Oct 2023 11:00:04 +0200 Subject: [PATCH 67/77] Update HighModelInvocationErrors.yml I was using count in a summary metric. Modified to sum to show the actual value of the metric. Before it was showing the number of times the event was aggregated. Ref here: https://docs.newrelic.com/docs/data-apis/understand-data/metric-data/metric-data-type/ --- alert-policies/amazon-sagemaker/HighModelInvocationErrors.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/alert-policies/amazon-sagemaker/HighModelInvocationErrors.yml b/alert-policies/amazon-sagemaker/HighModelInvocationErrors.yml index bbfc1a922e..d15d79253e 100644 --- a/alert-policies/amazon-sagemaker/HighModelInvocationErrors.yml +++ b/alert-policies/amazon-sagemaker/HighModelInvocationErrors.yml @@ -5,7 +5,7 @@ description: |+ type: STATIC nrql: - query: "SELECT count(`aws.sagemaker.InvocationModelErrors`) as 'Query' FROM Metric" + query: "SELECT sum(`aws.sagemaker.InvocationModelErrors`) as 'Query' FROM Metric" # Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) valueFunction: SINGLE_VALUE @@ -24,4 +24,4 @@ terms: # Duration after which a violation automatically closes # Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) -violationTimeLimitSeconds: 86400 \ No newline at end of file +violationTimeLimitSeconds: 86400 From bd6055fab22290ae62ecabacd97a30b6cc516dc0 Mon Sep 17 00:00:00 2001 From: pkosanam Date: Fri, 27 Oct 2023 19:10:21 +0530 Subject: [PATCH 68/77] NR-174260 FlutterWeb - Update Datasource --- data-sources/flutter-web/config.yml | 8 +++++--- install/flutter-web/install.yml | 15 --------------- quickstarts/flutter-web/config.yml | 2 -- 3 files changed, 5 insertions(+), 20 deletions(-) delete mode 100644 install/flutter-web/install.yml diff --git a/data-sources/flutter-web/config.yml b/data-sources/flutter-web/config.yml index 12a88eedc6..fef3f14640 100644 --- a/data-sources/flutter-web/config.yml +++ b/data-sources/flutter-web/config.yml @@ -5,9 +5,11 @@ description: | icon: logo.png install: primary: - link: - url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/browser-monitoring-integrations/flutter-web-integration/ - + nerdlet: + nerdletId: marketplace.install-data-source + nerdletState: + dataSourceId: flutter-web + requiresAccount: false keywords: - flutter - flutter web application diff --git a/install/flutter-web/install.yml b/install/flutter-web/install.yml deleted file mode 100644 index b1784103ec..0000000000 --- a/install/flutter-web/install.yml +++ /dev/null @@ -1,15 +0,0 @@ -id: flutter-web -name: Flutter Web -title: Flutter Web monitoring -description: | - New Relic’s instant observability quickstart with Flutter Web monitoring can be used to analyze performance bottlenecks in the production environment. Visually monitor your web user experience across the world along with your application performance via the dashboard. - -target: - type: integration - destination: host - os: - - linux -install: - mode: link - destination: - url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/browser-monitoring-integrations/flutter-web-integration/ diff --git a/quickstarts/flutter-web/config.yml b/quickstarts/flutter-web/config.yml index d94cc7c384..5aefae2eca 100644 --- a/quickstarts/flutter-web/config.yml +++ b/quickstarts/flutter-web/config.yml @@ -34,8 +34,6 @@ keywords: - flutter - flutter web application - browser agent -installPlans: - - flutter-web dataSourceIds: - flutter-web dashboards: From a86e5f909e1555b5059ba8e1dcafebfbe13d9862 Mon Sep 17 00:00:00 2001 From: pkosanam Date: Tue, 31 Oct 2023 11:08:17 +0530 Subject: [PATCH 69/77] NR-120470: Redpanda Text Change --- quickstarts/redpanda/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/quickstarts/redpanda/config.yml b/quickstarts/redpanda/config.yml index be556b9fc2..0d7da5f602 100644 --- a/quickstarts/redpanda/config.yml +++ b/quickstarts/redpanda/config.yml @@ -14,7 +14,7 @@ description: | Identify high latency in processing to solve for overall platform performance. ### Data loss - Our node dashboard alerts you immediately in case of failures, to prevent data loss by quick intervention. + Our quickstart dashboard alerts you immediately in case of failures, to prevent data loss by quick intervention. Redpanda observability is essential for ensuring its reliability, availability, and performance, and for preventing and resolving issues. From c6cd125310f84f7aab3f9ec2d36381605a86284e Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Tue, 31 Oct 2023 15:55:09 +0530 Subject: [PATCH 70/77] Update the dashboard --- dashboards/mexn/{mexn01.png => mexn001.png} | Bin dashboards/mexn/{mexn02.png => mexn002.png} | Bin dashboards/mexn/{mexn03.png => mexn003.png} | Bin dashboards/mexn/{mexn04.png => mexn004.png} | Bin dashboards/mexn/{mexn05.png => mexn005.png} | Bin dashboards/mexn/{mexn06.png => mexn006.png} | Bin dashboards/mexn/{mexn07.png => mexn007.png} | Bin dashboards/mexn/{mexn08.png => mexn008.png} | Bin dashboards/mexn/{mexn09.png => mexn009.png} | Bin dashboards/mexn/{mexn10.png => mexn010.png} | Bin 10 files changed, 0 insertions(+), 0 deletions(-) rename dashboards/mexn/{mexn01.png => mexn001.png} (100%) rename dashboards/mexn/{mexn02.png => mexn002.png} (100%) rename dashboards/mexn/{mexn03.png => mexn003.png} (100%) rename dashboards/mexn/{mexn04.png => mexn004.png} (100%) rename dashboards/mexn/{mexn05.png => mexn005.png} (100%) rename dashboards/mexn/{mexn06.png => mexn006.png} (100%) rename dashboards/mexn/{mexn07.png => mexn007.png} (100%) rename dashboards/mexn/{mexn08.png => mexn008.png} (100%) rename dashboards/mexn/{mexn09.png => mexn009.png} (100%) rename dashboards/mexn/{mexn10.png => mexn010.png} (100%) diff --git a/dashboards/mexn/mexn01.png b/dashboards/mexn/mexn001.png similarity index 100% rename from dashboards/mexn/mexn01.png rename to dashboards/mexn/mexn001.png diff --git a/dashboards/mexn/mexn02.png b/dashboards/mexn/mexn002.png similarity index 100% rename from dashboards/mexn/mexn02.png rename to dashboards/mexn/mexn002.png diff --git a/dashboards/mexn/mexn03.png b/dashboards/mexn/mexn003.png similarity index 100% rename from dashboards/mexn/mexn03.png rename to dashboards/mexn/mexn003.png diff --git a/dashboards/mexn/mexn04.png b/dashboards/mexn/mexn004.png similarity index 100% rename from dashboards/mexn/mexn04.png rename to dashboards/mexn/mexn004.png diff --git a/dashboards/mexn/mexn05.png b/dashboards/mexn/mexn005.png similarity index 100% rename from dashboards/mexn/mexn05.png rename to dashboards/mexn/mexn005.png diff --git a/dashboards/mexn/mexn06.png b/dashboards/mexn/mexn006.png similarity index 100% rename from dashboards/mexn/mexn06.png rename to dashboards/mexn/mexn006.png diff --git a/dashboards/mexn/mexn07.png b/dashboards/mexn/mexn007.png similarity index 100% rename from dashboards/mexn/mexn07.png rename to dashboards/mexn/mexn007.png diff --git a/dashboards/mexn/mexn08.png b/dashboards/mexn/mexn008.png similarity index 100% rename from dashboards/mexn/mexn08.png rename to dashboards/mexn/mexn008.png diff --git a/dashboards/mexn/mexn09.png b/dashboards/mexn/mexn009.png similarity index 100% rename from dashboards/mexn/mexn09.png rename to dashboards/mexn/mexn009.png diff --git a/dashboards/mexn/mexn10.png b/dashboards/mexn/mexn010.png similarity index 100% rename from dashboards/mexn/mexn10.png rename to dashboards/mexn/mexn010.png From e7af42a8706582ac2df0d5f1090540dd01c542a9 Mon Sep 17 00:00:00 2001 From: jcountsNR <94138069+jcountsNR@users.noreply.github.com> Date: Tue, 31 Oct 2023 07:45:49 -0700 Subject: [PATCH 71/77] feat: shopify data source --- data-sources/shopify/config.yml | 17 +++++++++++++++++ data-sources/shopify/logo.png | Bin 0 -> 38361 bytes 2 files changed, 17 insertions(+) create mode 100644 data-sources/shopify/config.yml create mode 100644 data-sources/shopify/logo.png diff --git a/data-sources/shopify/config.yml b/data-sources/shopify/config.yml new file mode 100644 index 0000000000..05b6fabba1 --- /dev/null +++ b/data-sources/shopify/config.yml @@ -0,0 +1,17 @@ +id: shopify +displayName: Shopify +description: | + Shopify is a website building tool. You can use New Relic's browser agent to monitor your websites created in Shopify. +icon: logo.png +install: + primary: + link: + url: https://docs.newrelic.com/docs/browser/browser-monitoring/installation/install-browser-monitoring-agent/ +keywords: + - traffic + - browser + - agent + - web app + - newrelic partner +categoryTerms: + - newrelic partner diff --git a/data-sources/shopify/logo.png b/data-sources/shopify/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..7cd4ecd1d15cad15b56d822b1e3faa47ce84e611 GIT binary patch literal 38361 zcmeEt^;;Bg)c4F5-AaQZCEX>BQW8odxs-s^igXSw5-QT5fB`Cqt8~c%Dj*1ml;omP zg0PY+AUvbr>w5o(_j;cFVRz=9bD#4$ai4Q$XYSO?ruuZ$oYVjS&>0$BFb4nz_>c;V zLc%}YGIRd$5AS7TOI>}O@fisw_zeD}yuJW`XTQ;N&d@kMJ|6g5$uSbH01u&q%uOu- z)sCo~kggFM0Lbw$yr69vHo4XTg79VN&e6+t%D=My@AJRb0??NP)a6gWMe}}JRZap%gqI(fmWM5 zqq_uv#i0Df}u&?*kZ*11F;J%>++U(}Yu2sob^ z9_6-(Q32N-{aFYD@Cfyb&GBz|;Pm>KXskLDC(vo`t&he)rPI>T{R;?aZz(|J)cESo 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From aee3128f4dea2d5ce9d8e730579b27929c9c7a5a Mon Sep 17 00:00:00 2001 From: nr-opensource-bot Date: Wed, 1 Nov 2023 10:30:18 +0000 Subject: [PATCH 75/77] chore: generate UUID(s) [skip ci] --- quickstarts/elastic-knn-search/config.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/quickstarts/elastic-knn-search/config.yml b/quickstarts/elastic-knn-search/config.yml index de6e92656a..c2f8cf35d1 100644 --- a/quickstarts/elastic-knn-search/config.yml +++ b/quickstarts/elastic-knn-search/config.yml @@ -1,3 +1,4 @@ +id: 9c5273f1-ddc0-4db4-8a31-41fe1ea320e3 slug: elastic-knn-search description: | From bc1221f8bda64eed9bb4f846328944cd6ea7d362 Mon Sep 17 00:00:00 2001 From: SuruchiSaboo Date: Thu, 2 Nov 2023 14:32:51 +0530 Subject: [PATCH 76/77] Updating dashboard --- .../amazon-database-migration-service.json | 579 +++++++++++++++++- 1 file changed, 576 insertions(+), 3 deletions(-) diff --git a/dashboards/amazon-database-migration-service/amazon-database-migration-service.json b/dashboards/amazon-database-migration-service/amazon-database-migration-service.json index f42e5a2725..4a6459b8a6 100644 --- a/dashboards/amazon-database-migration-service/amazon-database-migration-service.json +++ b/dashboards/amazon-database-migration-service/amazon-database-migration-service.json @@ -2,6 +2,580 @@ "name": "Amazon Database Migration Service(DMS)", "description": null, "pages": [ + { + "name": "Replication Instance Metrics", + "description": null, + "widgets": [ + { + "title": "", + "layout": { + "column": 1, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "# AWS Database Migration Service\nIt is a managed migration and replication service that helps move your database and analytics workloads to AWS quickly, securely, and with minimal downtime and zero data loss." + } + }, + { + "title": "Available Memory", + "layout": { + "column": 3, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.AvailableMemory) AS 'Available Memory' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "CPU Utilization", + "layout": { + "column": 5, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CPUUtilization) AS 'CPU Utilization' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "PERCENTAGE" + } + } + }, + { + "title": "CPU Allocated", + "layout": { + "column": 7, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.CPUAllocated) AS 'CPU Allocated' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "PERCENTAGE" + } + } + }, + { + "title": "Freeable Memory", + "layout": { + "column": 9, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.FreeableMemory) AS 'Freeable Memory' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "Free Storage Space", + "layout": { + "column": 11, + "row": 1, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.FreeStorageSpace) AS 'Free Storage Space' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "Disk Queue Depth", + "layout": { + "column": 1, + "row": 3, + "width": 2, + "height": 1 + }, + + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT count(aws.dms.DiskQueueDepth) as 'Disk Queue Depth'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "thresholds": [ + { + "alertSeverity": "WARNING", + "value": 10000 + } + ] + } + }, + { + "title": "Memory Allocated (Mib)", + "layout": { + "column": 3, + "row": 3, + "width": 3, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.MemoryAllocated) AS 'Memory Allocated' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Free Memory", + "layout": { + "column": 6, + "row": 3, + "width": 3, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.FreeMemory) AS 'Free Memory' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "Write IOPS (count per second)", + "layout": { + "column": 9, + "row": 3, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.WriteIOPS) AS 'Write IOPS' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Read IOPS (count per second)", + "layout": { + "column": 11, + "row": 3, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.ReadIOPS) AS 'Read IOPS' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Swap Usage", + "layout": { + "column": 1, + "row": 4, + "width": 2, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.SwapUsage) AS 'Swap Usage' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES" + } + } + }, + { + "title": "Network Transmit Throughput", + "layout": { + "column": 3, + "row": 5, + "width": 4, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.NetworkTransmitThroughput) AS 'Network Transmit Throughput' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES_PER_SECOND" + } + } + }, + { + "title": "Read Latency", + "layout": { + "column": 7, + "row": 5, + "width": 3, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.ReadLatency) AS 'Read Latency' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "MS" + } + } + }, + { + "title": "Write Latency", + "layout": { + "column": 10, + "row": 5, + "width": 3, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.WriteLatency) AS 'Write Latency' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "MS" + } + } + }, + { + "title": "Network Receive Throughput", + "layout": { + "column": 1, + "row": 6, + "width": 2, + "height": 3 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.NetworkReceiveThroughput) AS 'Network Receive Throughput' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES_PER_SECOND" + } + } + }, + { + "title": "Read Throughput", + "layout": { + "column": 3, + "row": 7, + "width": 5, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.ReadThroughput) AS 'Read Throughput' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES_PER_SECOND" + } + } + }, + { + "title": "Write Throughput", + "layout": { + "column": 8, + "row": 7, + "width": 5, + "height": 2 + }, + + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountId": 0, + "query": "FROM Metric SELECT average(aws.dms.WriteThroughput) AS 'Write Throughput' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "BYTES_PER_SECOND" + } + } + } + ] + }, { "name": "Replication Task Metrics", "description": null, @@ -362,7 +936,7 @@ "nrqlQueries": [ { "accountId": 0, - "query": "FROM Metric SELECT average(aws.dms.MemoryUsage)*1000000 AS 'Memory Usage' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" + "query": "FROM Metric SELECT average(aws.dms.MemoryUsage) AS 'Memory Usage' timeseries auto facet `aws.dms.ReplicationInstanceIdentifier`" } ], "platformOptions": { @@ -438,6 +1012,5 @@ } ] } - ], - "variables": [] + ] } \ No newline at end of file From 15295f0f81c07bab8b8bcc85a4e9ae3e4752aff3 Mon Sep 17 00:00:00 2001 From: Zack Stickles Date: Thu, 2 Nov 2023 09:50:35 -0700 Subject: [PATCH 77/77] chore: Update indentation --- quickstarts/apdex-optimizer/config.yml | 62 +++++++++++++------------- 1 file changed, 31 insertions(+), 31 deletions(-) diff --git a/quickstarts/apdex-optimizer/config.yml b/quickstarts/apdex-optimizer/config.yml index a0087ad059..0cbb29229f 100644 --- a/quickstarts/apdex-optimizer/config.yml +++ b/quickstarts/apdex-optimizer/config.yml @@ -8,37 +8,37 @@ title: Apdex Optimizer description: | **Summary of Apdex Optimizer Dashboard** - ## 1. Apdex Score Overview: - - Timeseries chart displaying Apdex scores for each APM application. - - Highlights performance trends over time. - - ## 2. Apdex Breakdown: - - Detailed breakdown table showcasing Apdex scores for different aspects of your application. - - Identifies areas of improvement and potential bottlenecks. - - ## 3. Transaction-level Insights: - - In-depth Apdex information on individual transactions. - - Pinpoints specific transaction performance for focused optimization. - - ## 4. Threshold Recommendations: - - Application Apdex T Value Recommendation table guides optimal threshold settings. - - Helps fine-tune Apdex parameters for enhanced performance monitoring. - - ## 5. Transaction Apdex Values: - - Transaction Apdex Values table provides granular insights into transaction-level performance. - - Enables precise adjustments for optimal user satisfaction. - - ### Actionable Takeaways: - - Identify and address performance trends through Apdex score patterns. - - Optimize specific transactions based on detailed Apdex insights. - - Fine-tune Apdex thresholds for applications to improve overall monitoring effectiveness. - - ### Benefits: - - Enhanced visibility into application performance. - - Proactive identification of potential issues. - - Improved user satisfaction through targeted optimizations. - - This comprehensive Apdex Optimizer dashboard empowers you with actionable data to make informed decisions, ensuring your applications perform at their best. + ## 1. Apdex Score Overview: + - Timeseries chart displaying Apdex scores for each APM application. + - Highlights performance trends over time. + + ## 2. Apdex Breakdown: + - Detailed breakdown table showcasing Apdex scores for different aspects of your application. + - Identifies areas of improvement and potential bottlenecks. + + ## 3. Transaction-level Insights: + - In-depth Apdex information on individual transactions. + - Pinpoints specific transaction performance for focused optimization. + + ## 4. Threshold Recommendations: + - Application Apdex T Value Recommendation table guides optimal threshold settings. + - Helps fine-tune Apdex parameters for enhanced performance monitoring. + + ## 5. Transaction Apdex Values: + - Transaction Apdex Values table provides granular insights into transaction-level performance. + - Enables precise adjustments for optimal user satisfaction. + + ### Actionable Takeaways: + - Identify and address performance trends through Apdex score patterns. + - Optimize specific transactions based on detailed Apdex insights. + - Fine-tune Apdex thresholds for applications to improve overall monitoring effectiveness. + + ### Benefits: + - Enhanced visibility into application performance. + - Proactive identification of potential issues. + - Improved user satisfaction through targeted optimizations. + + This comprehensive Apdex Optimizer dashboard empowers you with actionable data to make informed decisions, ensuring your applications perform at their best. # Displayed in search results and recommendations. Summarizes a quickstarts functionality. summary: |

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