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NR-158339 Wave2 OpenSource AI Quickstarts #2052

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merged 5 commits into from
Sep 20, 2023

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pkosanam
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@pkosanam pkosanam commented Sep 12, 2023

Ticket: https://issues.newrelic.com/browse/NR-158339

Summary

Quickstarts which include in this PR

  1. Anyscale
  2. Jina AI
  3. Ollama
  4. MyScale
  5. StarRocks
  6. OpenLLM

A concise description of the changes being introduced. Please review the pre-merge checklist section to validate this pull request is ready for review and merge. If it is not ready, please mark the pull request as a draft.

The owners of this repo are not experts in the subject matter of the quickstarts. We review for the quickstart to be functional and for security risks. If you are seeking feedback on the content of the quickstart, please seek out a subject matter expert. If you are not an internal NR contributor, we can do our best to connect you with a content reviewer.

Pre merge checklist

  • Did you check you NRQL syntax? - Does it work?
  • Did you include a Data source and Documentation reference?
  • Are all documentation links publicly accessible?
  • Did you check your descriptive content for voice and tone?
  • Did you check your descriptive content for spelling and grammar errors?
  • Did you review your content with a subject matter expert? (e.g. a Browser agent quickstart is reviewed with a member of the Browser Agent team)

Dashboards

  • Does the PR contain a screenshot for each of your dashboards?
  • Do your screenshots show data?
  • Has the sanitization script been run on each dashboard?

Alerts

  • Did you check that your alerts actually work?

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Thank you for your contribution, our team will be reviewing this shortly, please be available for any follow up questions or code review feedback!

@pkosanam pkosanam added Tara Submitted by a team member from Tara team (Previously CXPUI team) in HYD aimlops AI & MLOps labels Sep 13, 2023
slug: anyscale
description: |
## Why should you monitor your usage of Anyscale?
Monitor your application powered by Anyscale language models to ensure, get visibility to what you send to Anyscale, responses received from Anyscale , latency, usage and errors. By monitoring the usage, you can infer the cost.
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Suggested change
Monitor your application powered by Anyscale language models to ensure, get visibility to what you send to Anyscale, responses received from Anyscale , latency, usage and errors. By monitoring the usage, you can infer the cost.
Monitor your application powered by Anyscale language models to ensure, get visibility to what you send to Anyscale, responses received from Anyscale, latency, usage and errors. By monitoring the usage, you can infer the cost.

Our Anyscale quickstart provides metrics including error rate, input & output, latency, queries, and lets you integrate with different language models.

## What’s included in the Anyscale quickstart?
New Relic Anyscale monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Anyscale usage. These reports include:
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Suggested change
New Relic Anyscale monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Anyscale usage. These reports include:
New Relic Anyscale monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Anyscale usage. These reports include:

documentation:
- name: Anyscale integration documentation
description: |
Implement monitoring and instrumentation for your Anyscale app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
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Suggested change
Implement monitoring and instrumentation for your Anyscale app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
Implement monitoring and instrumentation for your Anyscale app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.

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LGTM.

@seemantk seemantk self-requested a review September 20, 2023 10:39
@pkosanam pkosanam merged commit c511aa8 into newrelic:main Sep 20, 2023
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