[7.13][DOCS] Update list of Apache and Nginx ML modules (#1681)

docs/en/stack/ml/anomaly-detection/ootb-ml-jobs-apache.asciidoc

@@ -5,49 +5,152 @@
 <titleabbrev>Apache</titleabbrev>
 ++++
 // tag::apache-jobs[]
-These {anomaly-job} wizards appear in {kib} if you use 
-{filebeat-ref}/index.html[{filebeat}] to ship access logs from your 
-https://httpd.apache.org/[Apache] HTTP servers to {es} and store it using fields 
-and data types from the Elastic Common Schema (ECS). For more details, see the
-{dfeed} and job definitions in
+These {anomaly-job} wizards appear in {kib} if you use the Apache integration in
+{fleet} or you use {filebeat} to ship access logs from your
+https://httpd.apache.org/[Apache] HTTP servers to {es}. The jobs assume that you
+use fields and data types from the Elastic Common Schema (ECS).
+
+[[apache-access-logs]]
+== Apache access logs
+
+These {anomaly-jobs} find unusual activity in HTTP access logs.
+
+For more details, see the {dfeed} and job definitions in
+https://github.com/elastic/integrations/blob/{branch}/packages/apache/kibana/ml_module/apache-Logs-ml.json[GitHub].
+Note that these jobs are available in {kib} only if data exists that matches the
+{dfeed} query.
+
+low_request_rate_apache::
+Detects low request rates.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`low_count` function>>).
+
+Required {beats} or {agent} integrations:::
+
+* Apache integration
+
+source_ip_request_rate_apache::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`high_count` function>>)
+relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
+
+* Apache integration
+
+source_ip_url_count_apache::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes distinct counts of URLs (using the
+<<ml-distinct-count,`high_distinct_count` function>> on the `url.original`
+field) relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
+
+* Apache integration
+
+status_code_rate_apache::
+Detects unusual status code rates.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`count` function>>) split by
+status code (`partition_field_name` is `http.response.status_code`).
+
+Required {beats} or {agent} integrations:::
+
+* Apache integration
+
+visitor_rate_apache::
+Detects unusual visitor rates.
+
+Job details:::
+
+* Analyzes request rates using the <<ml-nonzero-count,`non_zero_count` function>>.
+
+Required {beats} or {agent} integrations:::
+
+* Apache integration
+
+[[apache-access-logs-filebeat]]
+== Apache access logs ({filebeat})
+
+These legacy {anomaly-jobs} find unusual activity in HTTP access logs. For the
+latest versions, install the Apache integration in {fleet}; see
+<<apache-access-logs>>.
+
+For more details, see the {dfeed} and job definitions in
 https://github.com/elastic/kibana/tree/{branch}/x-pack/plugins/ml/server/models/data_recognizer/modules/apache_ecs/ml[GitHub].
 
 These configurations are only available if data exists that matches the 
 recognizer query specified in the 
 https://github.com/elastic/kibana/blob/{branch}/x-pack/plugins/ml/server/models/data_recognizer/modules/apache_ecs/manifest.json#L8[manifest file].
 
 low_request_rate_ecs::
+Detects low request rates.
+
+Job details:::
 
-* For HTTP web access logs where `event.dataset` is `apache.access`.
-* Models the event rate of HTTP requests. 
-* Detects unusually low counts of HTTP requests compared to the previous event 
-  rate.
+* Analyzes request rates (using the <<ml-count,`low_count` function>>).
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}  
 
 source_ip_request_rate_ecs::
+Detects unusual source IPs.
+
+Job details:::
 
-* For HTTP web access logs where `event.dataset` is `apache.access`.
-* Models the event rate of HTTP requests by source IP.
-* Detects source IPs with unusually high request rates in the HTTP access log 
-  compared to the previous rate.
+* Analyzes request rates (using the <<ml-count,`high_count` function>>)
+relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}
 
 source_ip_url_count_ecs::
+Detects unusal source IPs.
+
+Job details:::
+
+* Analyzes distinct counts of URLs (using the
+<<ml-distinct-count,`high_distinct_count` function>> on the `url.original`
+field) relative to all the source IPs (`over_field_name` is `source.address`).
 
-* For HTTP web access logs where `event.dataset` is `apache.access`.
-* Models the event rate of HTTP requests by source IP.
-* Detects source IPs with unusually high distinct count of URLs in the HTTP 
-access log.
+Required {beats} or {agent} integrations:::
+
+* {filebeat}
 
 status_code_rate_ecs::
 
-* For HTTP web access logs where `event.dataset` is `apache.access`.
-* Models the occurrences of HTTP response status codes.
-* Detects unusual status code rates in the HTTP access log compared to previous 
-  rates.
+Detects unusual status code rates.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`count` function>>) split by
+status code (`partition_field_name` is `http.response.status_code`).
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}
 
 visitor_rate_ecs::
+Detects unusual visitor rates.
+
+Job details:::
+
+* Analyzes request rates using the <<ml-nonzero-count,`non_zero_count` function>>.
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}
 
-* For HTTP web access logs where `event.dataset` is `apache.access`.
-* Models visitor rates.
-* Detects unusual visitor rates in the HTTP access log compared to previous 
-  rates.
 // end::apache-jobs[]

docs/en/stack/ml/anomaly-detection/ootb-ml-jobs-nginx.asciidoc

@@ -6,10 +6,89 @@
 ++++
 
 // tag::nginx-jobs[]
-These {anomaly-job} wizards appear in {kib} if you use {filebeat} to ship access 
-logs from your http://nginx.org/[Nginx] HTTP servers to {es} and store it using 
-fields and datatypes from the Elastic Common Schema (ECS). For more details, see
-the {dfeed} and job definitions in
+
+These {anomaly-job} wizards appear in {kib} if you use the Nginx integration in
+{fleet} or you use {filebeat} to ship access logs from your
+http://nginx.org/[Nginx] HTTP servers to {es}. The jobs assume that you use
+fields and data types from the Elastic Common Schema (ECS).
+
+[[nginx-access-logs]]
+== Nginx access logs
+
+These {anomaly-jobs} find unusual activity in HTTP access logs.
+
+For more details, see the {dfeed} and job definitions in
+https://github.com/elastic/integrations/blob/{branch}/packages/nginx/kibana/ml_module/nginx-Logs-ml.json[GitHub].
+Note that these jobs are available in {kib} only if data exists that matches the
+{dfeed} query.
+
+low_request_rate_nginx::
+Detects low request rates.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`low_count` function>>).
+
+Required {beats} or {agent} integrations:::
+
+* Nginx integration 
+
+source_ip_request_rate_nginx::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`high_count` function>>)
+relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
+
+* Nginx integration 
+
+source_ip_url_count_nginx::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes distinct counts of URLs (using the
+<<ml-distinct-count,`high_distinct_count` function>> on the `url.original`
+field) relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
+
+* Nginx integration 
+
+status_code_rate_nginx::
+Detects unusual status code rates.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`count` function>>) split by
+status code (`partition_field_name` is `http.response.status_code`).
+
+Required {beats} or {agent} integrations:::
+
+* Nginx integration 
+
+visitor_rate_nginx::
+Detects unusual visitor rates.
+
+Job details:::
+
+* Analyzes request rates using the <<ml-nonzero-count,`non_zero_count` function>>.
+
+Required {beats} or {agent} integrations:::
+
+* Nginx integration  
+
+[[nginx-access-logs-filebeat]]
+== Nginx access logs ({filebeat})
+
+These legacy {anomaly-jobs} find unusual activity in HTTP access logs. For the 
+latest versions, install the Nginx integration in {fleet}; see
+<<nginx-access-logs>>.
+
+For more details, see the {dfeed} and job definitions in
 https://github.com/elastic/kibana/tree/{branch}/x-pack/plugins/ml/server/models/data_recognizer/modules/nginx_ecs/ml[GitHub].
 
 These configurations are only available if data exists that matches the 
@@ -18,38 +97,62 @@ https://github.com/elastic/kibana/blob/{branch}/x-pack/plugins/ml/server/models/
 
 
 low_request_rate_ecs::
+Detects low request rates.
+
+Job details:::
 
-* For HTTP web access logs where `event.dataset` is `nginx.access`.
-* Models the event rate of http requests. 
-* Detects unusually low counts of HTTP requests compared to the previous event 
-  rate.
+* Analyzes request rates (using the <<ml-count,`low_count` function>>).
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}  
 
 source_ip_request_rate_ecs::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`high_count` function>>)
+relative to all the source IPs (`over_field_name` is `source.address`).
 
-* For HTTP web access logs where `event.dataset` is `nginx.access`.
-* Models the event rate of HTTP requests by source IP.
-* Detects source IPs with unusually high request rates in the HTTP access log 
-  compared to the previous rate. 
+Required {beats} or {agent} integrations:::
+
+* {filebeat}  
 
 source_ip_url_count_ecs::
+Detects unusual source IPs.
+
+Job details:::
+
+* Analyzes distinct counts of URLs (using the
+<<ml-distinct-count,`high_distinct_count` function>> on the `url.original`
+field) relative to all the source IPs (`over_field_name` is `source.address`).
+
+Required {beats} or {agent} integrations:::
 
-* For HTTP web access logs where `event.dataset` is `nginx.access`.
-* Models the event rate of HTTP requests by source IP.
-* Detects source IPs with unusually high distinct count of URLs in the HTTP 
-  access log.
+* {filebeat}  
 
 status_code_rate_ecs::
+Detects unusual status code rates.
 
-* For HTTP web access logs where `event.dataset` is `nginx.access`.
-* Models the occurrences of HTTP response status codes.
-* Detects unusual status code rates in the HTTP access log compared to previous 
-  rates.
+Job details:::
+
+* Analyzes request rates (using the <<ml-count,`count` function>>) split by
+status code (`partition_field_name` is `http.response.status_code`).
+
+Required {beats} or {agent} integrations:::
+
+* {filebeat}  
 
 visitor_rate_ecs::
+Detects unusual visitor rates.
+
+Job details:::
+
+* Analyzes request rates using the <<ml-nonzero-count,`non_zero_count` function>>.
+
+Required {beats} or {agent} integrations:::
 
-* For HTTP web access logs where `event.dataset` is `nginx.access`.
-* Models visitor rates.
-* Detects unusual visitor rates in the HTTP access log compared to previous 
-  rates.
+* {filebeat}  
 
-// end::nginx-jobs[]
+// end::nginx-jobs[]