Incident Library
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  1. Symptoms

    On a Saturday at 5:12 pm, Blue Matador's own monitoring raised a SystemOOM event for one node in the production Kubernetes cluster. Four minutes later a second warning reported a low EBS Burst Balance on that node's root volume. CloudWatch data showed the burst balance had actually bottomed out at 5:02 pm, before the memory event; the warning arrived late because EBS metrics lag 10 to 15 minutes.

    Trigger

    Memory use of the fluentd-sumologic log shipper pods grew until the node ran out of memory; log volume in Sumo Logic had been steady, so a burst of logs was not the cause.

    Root cause
    Component
    Contributing factor
    Detection

    Blue Matador's own monitoring product alerted on the SystemOOM event, followed minutes later by a low EBS Burst Balance warning for the same node.

    Remediation
    • restarted all fluentd-sumologic pods so they started with low memory
    • set RUBY_GC_HEAP_OLDOBJECT_LIMIT_FACTOR to 0.9 on the fluentd-sumologic pods
    • added memory requests of 128Mi and limits of 1024Mi, and CPU requests of 100m and limits of 250m, to the fluentd-sumologic pods
    Action items
    • Apply default resource limits and resource quotas so that every pod runs with requests and limits
    Lessons

    When checking for restarted pods, look in every namespace, not only the application one. Set resource requests and limits on every pod, third-party ones in particular, so that one workload cannot exhaust a node. Investigate side signals such as the disk I/O spike while the logs still exist.

Check your cluster for this

This case involves Container memory limit and Telemetry agent. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

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