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docs/alerts/monitors/alert-response.md

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import Iframe from 'react-iframe';
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Learn how to use alert response.
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docs/alerts/monitors/create-monitor.md

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* **Auto-diagnosis and recovery**. The Automation Service handles diagnosis and resolution, closing the loop from alert to recovery.
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* **Customizable detection**. Use advanced rules like "Cluster anomalies" to detect multiple data points exceeding thresholds within a set timeframe.
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Watch this micro lesson to learn about anomaly monitors.
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<Iframe url="https://fast.wistia.net/embed/iframe/8z9b2zqtc3?web_component=true&seo=true&videoFoam=false"

docs/alerts/monitors/use-playbooks-with-monitors.md

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Weekly seasonality detection is turned off by default to optimize performance. [Contact Sumo Logic Customer Support](https://support.sumologic.com/support/s/contactsupport) to activate it for specific monitors. (*Weekly seasonality detection* is the optimization of baseline calculations to account for the variations of data flow that can occur in a work week.)
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Watch this micro lesson to learn about anomaly monitors.
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docs/api/index.md

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To connect with other Sumo Logic users, post feedback, or ask a question, visit the [Sumo Logic API and Apps Forum](https://support.sumologic.com/support/s/topic/0TO6Q000000gTC8WAM/apis?tabset-cabe3=2) and [Sumo Dojo](http://slack.sumologic.com/).
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docs/apm/real-user-monitoring/configure-data-collection.md

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To collect [traces](/docs/apm/traces) and RUM metrics from a browser, you'll first need to create a RUM HTTP Traces Source. The source will have an endpoint URL that you'll put in a script that sends trace data in [OTLP/JSON over HTTP](https://github.com/open-telemetry/opentelemetry-specification/blob/master/specification/protocol/otlp.md#otlphttp) protocol. Alternatively, you can also use an intermediary OTel collector, if you require data to flow over your infrastructure rather than directly to Sumo Logic. Note however this will disable automatic geo-location recognition capabilities.
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Using the RUM HTTP Traces App for Manual Testing.
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docs/apm/real-user-monitoring/index.md

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All data collected is compatible with OpenTelemetry and doesn't use proprietary vendor code. Real user monitoring supports document load actions as well as XHR communication and route changes for single-page app navigation. The full list of functionalities and configuration is available in the [Sumo Logic OpenTelemetry auto-instrumentation for JavaScript](https://github.com/SumoLogic/sumologic-opentelemetry-js) README file.
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See Real User Monitoring in action.
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docs/apm/spans.md

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This micro lesson provides an overview of Span Analytics, and describes the term *span* in the distributed tracing and the benefits of Span Analytics. It also explains how to perform Span Analytics in Sumo Logic UI.
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docs/apm/traces/get-started-transaction-tracing/opentelemetry-instrumentation/java/index.md

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docs/apm/traces/quickstart.md

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## Micro lesson
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This micro lesson can help you get started with Tracing.
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docs/cloud-soar/incidents-triage.md

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<img src={useBaseUrl('img/cloud-soar/filter-incidents.png')} alt="Filter incidents" width="800"/>
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Watch this micro lesson to learn more about incidents in Cloud SOAR.
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Cloud SOAR's **Dashboards** section highlights the most important pieces of data to the user or investigator who is logged into the platform. This data is presented through the use of multiple widgets that you can add, remove, and customize to include all data relevant to your job functions and duties.
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Watch the following micro lesson to learn about dashboards.
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