Incident Library
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  1. Symptoms

    An alert fired because some Metrictank instances could not drain their write queue, which meant they could not write to Cassandra. Google had not yet published an incident, but a team member's Discord server, also hosted on GCP, was down, which pointed at GCP; Google confirmed an SSD persistent disk incident about 90 minutes after it began.

    Trigger

    A Google Cloud incident in which SSD persistent disks performed so poorly that many I/O operations failed for an extended period.

    Root cause
    Component
    Contributing factor
    Detection

    An alert that Metrictank write instances could not flush their write queue to Cassandra. Error rates alone rose too slowly to notice quickly, because most queries were served from memory.

    Remediation
    • Added compute nodes hoping new nodes could attach the disks, which did not work
    • Deleted and recreated the Cassandra StatefulSet with an updated pod management policy, so all pods but one started
    • Raised Kafka topic retention to avoid data loss during the long downtime
    • Temporarily added nodes so Metrictank restarts were not slowed by CPU starvation
    • Restarted all Metrictank instances, which took more than 20 hours, so they connected to the new Cassandra IPs
    Action items
    • Re-instantiate the gocql connection in Metrictank when it is detected dead, so it reconnects even when all Cassandra IPs change
    • Fix the Metrictank write-queue deadlock by updating an internal data structure with atomics instead of a lock
    Lessons

    An OrderedReady StatefulSet cannot recover past a single pod whose volume will not attach; when every pod is down, the ordering that protects normal start-up blocks the whole cluster. A client that learns peer addresses only from live peers needs a way to go back to the service name when all peers are replaced at once. A long-tolerated bug with a config workaround can surface at the worst time; this one turned out to have a simple fix. Writing incoming data to a Kafka write-ahead log first meant all data could still be ingested after recovery, and Kafka on non-SSD disks escaped the disk incident. With both Metrictank bugs fixed, the team expects a similar event to take less than 3 hours to recover from instead of 23.

Check your cluster for this

This case involves Application database and Node root disk. 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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