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## Summary Adds fixes that have already been made in the serverless docs. Closes https://github.com/elastic/staging-serverless-observability-docs/issues/181 ### Checklist n/a Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
118 lines
5.2 KiB
Text
118 lines
5.2 KiB
Text
[role="xpack"]
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[[service-maps]]
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=== Service Map
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A service map is a real-time visual representation of the instrumented services in your application's architecture.
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It shows you how these services are connected, along with high-level metrics like average transaction duration,
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requests per minute, and errors per minute.
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If enabled, service maps also integrate with machine learning--for real time health indicators based on anomaly detection scores.
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All of these features can help you quickly and visually assess your services' status and health.
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// Conditionally display a screenshot or video depending on what the
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// current documentation version is.
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ifeval::["{is-current-version}"=="true"]
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++++
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<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js"></script>
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<img
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style="width: 100%; margin: auto; display: block;"
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class="vidyard-player-embed"
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src="https://play.vidyard.com/VH8gKnPE3Z2csACZTCeQrw.jpg"
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data-uuid="VH8gKnPE3Z2csACZTCeQrw"
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data-v="4"
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data-type="inline"
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/>
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</br>
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++++
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endif::[]
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ifeval::["{is-current-version}"=="false"]
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[role="screenshot"]
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image::apm/images/service-maps.png[Example view of service maps in the APM app in Kibana]
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endif::[]
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We currently surface two types of service maps:
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* Global: All services instrumented with APM agents and the connections between them are shown.
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* Service-specific: Highlight connections for a selected service.
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[float]
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[[service-maps-how]]
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=== How do service maps work?
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Service Maps rely on distributed traces to draw connections between services.
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As {apm-guide-ref}/apm-distributed-tracing.html[distributed tracing] is enabled out-of-the-box for supported technologies, so are service maps.
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However, if a service isn't instrumented,
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or a `traceparent` header isn't being propagated to it,
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distributed tracing will not work, and the connection will not be drawn on the map.
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[float]
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[[visualize-your-architecture]]
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=== Visualize your architecture
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Select the **Service Map** tab to get started.
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By default, all instrumented services and connections are shown.
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Whether you're onboarding a new engineer, or just trying to grasp the big picture,
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drag things around, zoom in and out, and begin to visualize how your services are connected.
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Customize what the service map displays using either the query bar or the environment selector.
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The query bar enables you to use <<advanced-queries,advanced queries>> to customize the service map based on your needs.
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The environment selector allows you to narrow displayed results to a specific environment.
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This can be useful if you have two or more services, in separate environments, but with the same name.
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Use the environment drop-down to only see the data you're interested in, like `dev` or `production`.
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If there's a specific service that interests you, select that service to highlight its connections.
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Click **Focus map** to refocus the map on the selected service and lock the connection highlighting.
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From here, select **Service Details**, or click the **Transactions** tab to jump to the Transaction overview for the selected service.
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You can also use the tabs at the top of the page to easily jump to the **Errors** or **Metrics** overview.
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[role="screenshot"]
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image::apm/images/service-maps-java.png[Example view of service maps in the APM app in Kibana]
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[float]
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[[service-map-anomaly-detection]]
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=== Anomaly detection with machine learning
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You can create machine learning jobs to calculate anomaly scores on APM transaction durations within the selected service.
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When these jobs are active, service maps will display a color-coded anomaly indicator based on the detected anomaly score:
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[horizontal]
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image:apm/images/green-service.png[APM green service]:: Max anomaly score **≤25**. Service is healthy.
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image:apm/images/yellow-service.png[APM yellow service]:: Max anomaly score **26-74**. Anomalous activity detected. Service may be degraded.
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image:apm/images/red-service.png[APM red service]:: Max anomaly score **≥75**. Anomalous activity detected. Service is unhealthy.
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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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If an anomaly has been detected, click *View anomalies* to view the anomaly detection metric viewer in the Machine learning app.
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This time series analysis will display additional details on the severity and time of the detected anomalies.
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To learn how to create a machine learning job, see <<machine-learning-integration,machine learning integration>>.
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[float]
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[[service-maps-legend]]
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=== Legend
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Nodes appear on the map in one of two shapes:
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* **Circle**: Instrumented services. Interior icons are based on the language of the APM agent used.
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* **Diamond**: Databases, external, and messaging. Interior icons represent the generic type,
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with specific icons for known entities, like Elasticsearch.
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Type and subtype are based on `span.type`, and `span.subtype`.
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[float]
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[[service-maps-supported]]
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=== Supported APM agents
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Service Maps are supported for the following APM agent versions:
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[horizontal]
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Go agent:: ≥ v1.7.0
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iOS agent:: _Not yet supported_
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Java agent:: ≥ v1.13.0
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.NET agent:: ≥ v1.3.0
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Node.js agent:: ≥ v3.6.0
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PHP agent:: ≥ v1.2.0
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Python agent:: ≥ v5.5.0
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Ruby agent:: ≥ v3.6.0
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Real User Monitoring (RUM) agent:: ≥ v4.7.0
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