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Merge remote-tracking branch 'upstream/master' into fix/EMT-662-host-list-policy-response-link
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‎.eslintrc.js‎

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'x-pack/test_utils/**/*',
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'x-pack/gulpfile.js',
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'x-pack/plugins/apm/public/utils/testHelpers.js',
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'x-pack/plugins/canvas/shareable_runtime/postcss.config.js',
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],
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rules: {
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'import/no-extraneous-dependencies': [

‎docs/apm/images/apm-anomaly-alert.png‎

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‎docs/apm/machine-learning.asciidoc‎

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[role="xpack"]
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[[machine-learning-integration]]
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=== integration
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=== Machine learning integration
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<titleabbrev>Integrate with machine learning</titleabbrev>
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The Machine Learning integration initiates a new job predefined to calculate anomaly scores on APM transaction durations.
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Jobs can be created per transaction type, and are based on the service's average response time.
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The Machine learning integration initiates a new job predefined to calculate anomaly scores on APM transaction durations.
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With this integration, you can quickly pinpoint anomalous transactions and see the health of
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any upstream and downstream services.
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After a machine learning job is created, results are shown in two places:
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Machine learning jobs are created per environment, and are based on a service's average response time.
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Because jobs are created at the environment level,
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you can add new services to your existing environments without the need for additional machine learning jobs.
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The transaction duration graph will show the expected bounds and add an annotation when the anomaly score is 75 or above.
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After a machine learning job is created, results are shown in two places:
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* The transaction duration chart will show the expected bounds and add an annotation when the anomaly score is 75 or above.
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[role="screenshot"]
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image::apm/images/apm-ml-integration.png[Example view of anomaly scores on response times in the APM app]
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Service maps will display a color-coded anomaly indicator based on the detected anomaly score.
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* Service maps will display a color-coded anomaly indicator based on the detected anomaly score.
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[role="screenshot"]
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image::apm/images/apm-service-map-anomaly.png[Example view of anomaly scores on service maps in the APM app]
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[float]
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[[create-ml-integration]]
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=== Create a new machine learning job
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=== Enable anomaly detection
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To enable machine learning anomaly detection:
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. From the Services overview, Traces overview, or Service Map tab,
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select **Anomaly detection**.
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. Click **Create ML Job**.
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To enable machine learning anomaly detection, first choose a service to monitor.
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Then, select **Integrations** > **Enable ML anomaly detection** and click **Create job**.
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. Machine learning jobs are created at the environment level.
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Select all of the service environments that you want to enable anomaly detection in.
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Anomalies will surface for all services and transaction types within the selected environments.
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. Click **Create Jobs**.
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That's it! After a few minutes, the job will begin calculating results;
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it might take additional time for results to appear on your graph.
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Jobs can be managed in *Machine Learning jobs management*.
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it might take additional time for results to appear on your service maps.
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Existing jobs can be managed in *Machine Learning jobs management*.
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APM specific anomaly detection wizards are also available for certain Agents.
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See the machine learning {ml-docs}/ootb-ml-jobs-apm.html[APM anomaly detection configurations] for more information.
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[float]
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[[warning-ml-integration]]
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=== Anomaly detection warning
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To make machine learning as easy as possible to set up,
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the APM app will warn you when filtered to an environment without a machine learning job.
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[role="screenshot"]
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image::apm/images/apm-anomaly-alert.png[Example view of anomaly alert in the APM app]

‎docs/development/core/server/kibana-plugin-core-server.assistanceapiresponse.md‎

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## AssistanceAPIResponse interface
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> Warning: This API is now obsolete.
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>
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>
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<b>Signature:</b>
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‎docs/development/core/server/kibana-plugin-core-server.assistantapiclientparams.md‎

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## AssistantAPIClientParams interface
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> Warning: This API is now obsolete.
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>
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>
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<b>Signature:</b>
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‎docs/development/core/server/kibana-plugin-core-server.deprecationapiclientparams.md‎

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## DeprecationAPIClientParams interface
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> Warning: This API is now obsolete.
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>
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>
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<b>Signature:</b>
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‎docs/development/core/server/kibana-plugin-core-server.deprecationapiresponse.md‎

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## DeprecationAPIResponse interface
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> Warning: This API is now obsolete.
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>
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>
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<b>Signature:</b>
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‎docs/development/core/server/kibana-plugin-core-server.deprecationinfo.md‎

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## DeprecationInfo interface
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> Warning: This API is now obsolete.
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>
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>
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‎docs/development/core/server/kibana-plugin-core-server.elasticsearchclientconfig.md‎

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<!-- Do not edit this file. It is automatically generated by API Documenter. -->
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[Home](./index.md) &gt; [kibana-plugin-core-server](./kibana-plugin-core-server.md) &gt; [ElasticsearchClientConfig](./kibana-plugin-core-server.elasticsearchclientconfig.md)
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## ElasticsearchClientConfig type
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Configuration options to be used to create a [cluster client](./kibana-plugin-core-server.iclusterclient.md) using the [createClient API](./kibana-plugin-core-server.elasticsearchservicestart.createclient.md)
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<b>Signature:</b>
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```typescript
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export declare type ElasticsearchClientConfig = Pick<ElasticsearchConfig, 'customHeaders' | 'logQueries' | 'sniffOnStart' | 'sniffOnConnectionFault' | 'requestHeadersWhitelist' | 'sniffInterval' | 'hosts' | 'username' | 'password'> & {
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pingTimeout?: ElasticsearchConfig['pingTimeout'] | ClientOptions['pingTimeout'];
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requestTimeout?: ElasticsearchConfig['requestTimeout'] | ClientOptions['requestTimeout'];
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ssl?: Partial<ElasticsearchConfig['ssl']>;
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keepAlive?: boolean;
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};
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```

‎docs/development/core/server/kibana-plugin-core-server.elasticsearchservicestart.client.md‎

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<!-- Do not edit this file. It is automatically generated by API Documenter. -->
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[Home](./index.md) &gt; [kibana-plugin-core-server](./kibana-plugin-core-server.md) &gt; [ElasticsearchServiceStart](./kibana-plugin-core-server.elasticsearchservicestart.md) &gt; [client](./kibana-plugin-core-server.elasticsearchservicestart.client.md)
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## ElasticsearchServiceStart.client property
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A pre-configured [Elasticsearch client](./kibana-plugin-core-server.iclusterclient.md)
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<b>Signature:</b>
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```typescript
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readonly client: IClusterClient;
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```
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## Example
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```js
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const client = core.elasticsearch.client;
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```
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