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[AutoOps] Reference AutoOps solution on troubleshooting pages (#119630)
* Reference AutoOps on troubleshooting pages * Integrate reviewer's feedback (cherry picked from commit 70e5a67) # Conflicts: # docs/reference/troubleshooting/common-issues/circuit-breaker-errors.asciidoc # docs/reference/troubleshooting/common-issues/hotspotting.asciidoc
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docs/reference/monitoring/overview.asciidoc

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@@ -13,6 +13,10 @@ All of the monitoring metrics are stored in {es}, which enables you to easily
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visualize the data in {kib}. By default, the monitoring metrics are stored in
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local indices.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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TIP: In production, we strongly recommend using a separate monitoring cluster.
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Using a separate monitoring cluster prevents production cluster outages from
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impacting your ability to access your monitoring data. It also prevents

docs/reference/troubleshooting.asciidoc

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This section provides a series of troubleshooting solutions aimed at helping users
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fix problems that an {es} deployment might encounter.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[discrete]
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[[troubleshooting-general]]
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=== General

docs/reference/troubleshooting/common-issues/circuit-breaker-errors.asciidoc

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95% JVM memory usage. To prevent errors, we recommend taking steps to reduce
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memory pressure if usage consistently exceeds 85%.
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See https://www.youtube.com/watch?v=k3wYlRVbMSw[this video] for a walkthrough
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of diagnosing circuit breaker errors.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[discrete]
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[[diagnose-circuit-breaker-errors]]
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==== Diagnose circuit breaker errors

docs/reference/troubleshooting/common-issues/diagnose-unassigned-shards.asciidoc

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See https://www.youtube.com/watch?v=v2mbeSd1vTQ[this video]
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for a walkthrough of monitoring allocation health.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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docs/reference/troubleshooting/common-issues/disk-usage-exceeded.asciidoc

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To achieve this, {es} attempts to rebalance some of the affected node's shards
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to other nodes in the same data tier.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[[fix-watermark-errors-rebalance]]
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==== Monitor rebalancing
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docs/reference/troubleshooting/common-issues/high-cpu-usage.asciidoc

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You might experience high CPU usage if a <<data-tiers,data tier>>, and therefore the nodes assigned to that tier, is experiencing more traffic than other tiers. This imbalance in resource utilization is also known as <<hotspotting,hot spotting>>.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[discrete]
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[[diagnose-high-cpu-usage]]
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==== Diagnose high CPU usage

docs/reference/troubleshooting/common-issues/high-jvm-memory-pressure.asciidoc

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taking steps to reduce memory pressure if a node's JVM memory usage consistently
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exceeds 85%.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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[discrete]
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[[diagnose-high-jvm-memory-pressure]]
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==== Diagnose high JVM memory pressure

docs/reference/troubleshooting/common-issues/hotspotting.asciidoc

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ongoing significantly unique utilization may lead to cluster bottlenecks
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and should be reviewed.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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See link:https://www.youtube.com/watch?v=Q5ODJ5nIKAM[this video] for a walkthrough of troubleshooting a hot spotting issue.
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[discrete]
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[[detect]]
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==== Detect hot spotting

docs/reference/troubleshooting/common-issues/red-yellow-cluster-status.asciidoc

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See https://www.youtube.com/watch?v=v2mbeSd1vTQ[this video]
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for a walkthrough of monitoring allocation health.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[discrete]
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[[diagnose-cluster-status]]
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==== Diagnose your cluster status

docs/reference/troubleshooting/common-issues/rejected-requests.asciidoc

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* High <<index-modules-indexing-pressure,indexing pressure>> that exceeds the
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<<memory-limits,`indexing_pressure.memory.limit`>>.
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****
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If you're using Elastic Cloud Hosted, then you can use AutoOps to monitor your cluster. AutoOps significantly simplifies cluster management with performance recommendations, resource utilization visibility, real-time issue detection and resolution paths. For more information, refer to https://www.elastic.co/guide/en/cloud/current/ec-autoops.html[Monitor with AutoOps].
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****
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[discrete]
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[[check-rejected-tasks]]
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==== Check rejected tasks

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