Incident Library
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  • Root cause
  • Component
  • Symptom
  • Contributing factor
  • Case

Cases2 cases

1 to 2 of 2

  1. Symptoms

    A team using Neco, the Kubernetes platform run by Cybozu's Cloud Platform team, reported what looked like a performance problem in the cluster DNS servers. An application in a pod that resolved cluster Services at hundreds of requests per second frequently got `no such host` and `i/o timeout` errors.

    Trigger

    The number of MySQL clusters watched by the monitoring application increased, and after that the name resolution errors became frequent.

    Root cause
    Component
    Contributing factor
    Detection

    A team using the platform contacted the Cloud Platform team, describing the errors as a performance problem in the cluster DNS server.

    Remediation
    • Raised the kernel parameter netdev_max_backlog on the nodes
    • Set up alerts on softnet
    • Wrote a runbook for the softnet alerts
    Action items
    • Evaluate Cilium's netkit device so pod packets bypass the backlog queue
    Lessons

    Raising netdev_max_backlog makes the same failure less likely and the new alerts catch it early, but it is not a root fix: a pod that sends more packets can fill the backlog queue again. Cybozu sees replacing the veth interface with netkit, which skips the backlog queue, as the root fix.

  2. Symptoms

    Shortly after incident.io moved its infrastructure fully into Google Cloud, the application saw a larger-than-normal number of Postgres connection timeouts, and new database connections per second were in the hundreds, spiking up and down. At the same time, the memcached instance used for transient data and faster API responses had sporadic connection timeouts.

    Trigger

    After the move to Google Cloud, the application opened hundreds of new Postgres connections per second, and an accidental database join made it send thousands of duplicate calls to an external third party in parallel.

    Root cause
    Component
    Contributing factor
    Detection

    An incident was declared when the number of Postgres connection timeouts rose above normal. The remaining cache timeouts were traced through the logs of the Kubernetes node that served an affected request, the request's trace and the node's metrics.

    Remediation
    • Doubled the maximum Postgres connection lifespan from 15m to 30m
    • Made the Postgres connection pools static so they always keep N connections open
    • Raised the memcache client's MaxIdleConns from 2 to 20
    • Moved temporarily from Google's hosted memcached to a memcached inside the Kubernetes cluster
    • Shipped the fix for the accidental database join that made thousands of duplicate external calls
    Action items
    • Set more sensible concurrency limits for outbound network calls
    Lessons

    Network timeouts are not always local to one request or pod: when they appear, the whole activity of the node, including other pods on it, needs to be checked. Staying within a provider's rate limits does not keep outbound calls from affecting a node, so outbound network calls need more sensible concurrency limits.

Check your cluster for this

These 2 cases involve In-memory cache and CNI plugin. 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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