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[role="xpack"] | ||
[[machine-learning-integration]] | ||
=== integration | ||
=== 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. | ||
Jobs can be created per transaction type, and are based on the service's average response time. | ||
The Machine learning integration initiates a new job predefined to calculate anomaly scores on APM transaction durations. | ||
With this integration, you can quickly pinpoint anomalous transactions and see the health of | ||
any upstream and downstream services. | ||
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After a machine learning job is created, results are shown in two places: | ||
Machine learning jobs are created per environment, and are based on a service's average response time. | ||
Because jobs are created at the environment level, | ||
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. | ||
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. | ||
+ | ||
[role="screenshot"] | ||
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. | ||
+ | ||
[role="screenshot"] | ||
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] | ||
[[create-ml-integration]] | ||
=== Create a new machine learning job | ||
=== 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, | ||
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. | ||
Then, select **Integrations** > **Enable ML anomaly detection** and click **Create job**. | ||
. Machine learning jobs are created at the environment level. | ||
Select all of the service environments that you want to enable anomaly detection in. | ||
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; | ||
it might take additional time for results to appear on your graph. | ||
Jobs can be managed in *Machine Learning jobs management*. | ||
it might take additional time for results to appear on your service maps. | ||
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. | ||
See the machine learning {ml-docs}/ootb-ml-jobs-apm.html[APM anomaly detection configurations] for more information. | ||
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[float] | ||
[[warning-ml-integration]] | ||
=== Anomaly detection warning | ||
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To make machine learning as easy as possible to set up, | ||
the APM app will warn you when filtered to an environment without a machine learning job. | ||
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[role="screenshot"] | ||
image::apm/images/apm-anomaly-alert.png[Example view of anomaly alert in the APM app] |
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## AssistanceAPIResponse interface | ||
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> Warning: This API is now obsolete. | ||
> | ||
> | ||
<b>Signature:</b> | ||
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## AssistantAPIClientParams interface | ||
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> Warning: This API is now obsolete. | ||
> | ||
> | ||
<b>Signature:</b> | ||
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## DeprecationAPIClientParams interface | ||
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> Warning: This API is now obsolete. | ||
> | ||
> | ||
<b>Signature:</b> | ||
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## DeprecationAPIResponse interface | ||
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> Warning: This API is now obsolete. | ||
> | ||
> | ||
<b>Signature:</b> | ||
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## DeprecationInfo interface | ||
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> Warning: This API is now obsolete. | ||
> | ||
> | ||
<b>Signature:</b> | ||
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.../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) > [kibana-plugin-core-server](./kibana-plugin-core-server.md) > [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 | ||
export declare type ElasticsearchClientConfig = Pick<ElasticsearchConfig, 'customHeaders' | 'logQueries' | 'sniffOnStart' | 'sniffOnConnectionFault' | 'requestHeadersWhitelist' | 'sniffInterval' | 'hosts' | 'username' | 'password'> & { | ||
pingTimeout?: ElasticsearchConfig['pingTimeout'] | ClientOptions['pingTimeout']; | ||
requestTimeout?: ElasticsearchConfig['requestTimeout'] | ClientOptions['requestTimeout']; | ||
ssl?: Partial<ElasticsearchConfig['ssl']>; | ||
keepAlive?: boolean; | ||
}; | ||
``` |
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...pment/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) > [kibana-plugin-core-server](./kibana-plugin-core-server.md) > [ElasticsearchServiceStart](./kibana-plugin-core-server.elasticsearchservicestart.md) > [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 | ||
readonly client: IClusterClient; | ||
``` | ||
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## Example | ||
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```js | ||
const client = core.elasticsearch.client; | ||
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``` | ||
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