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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    When MonotaRO raised the share of requests for the remaining endpoints of its backend API sent to EKS from 1% to 25%, Sentry filled with errors saying the API could not reach the database and outside services. The errors were about DNS name resolution, and the traffic had to be shifted back to the EC2 version.

    Trigger

    MonotaRO raised the share of requests for the remaining API endpoints routed by the ALB to the EKS version from 1% to 25%.

    Root cause
    Component
    Contributing factor
    Detection

    Sentry showed a large number of errors about connecting to the database and outside services right after the traffic share was raised.

    Remediation
    • Shifted the requests back to the EC2 version to stop the errors
    • Added an HPA to autoscale the CoreDNS pods as a stopgap, which let the migration to EKS finish
    Action items
    • Set ndots to 1 through dnsConfig in the application Deployments
    • Set cache 600 in the Corefile in the coredns ConfigMap to lengthen the CoreDNS cache TTL
    • Add lameduck 30s to the CoreDNS health plugin so CoreDNS keeps serving while it is scaled in
    • Consider reducing the differences between production and staging, weighed against cost
    Lessons

    MonotaRO assumed that a managed service would not cause problems and so skipped researching other companies' migrations, load testing and monitoring. Staging differed from production in its network layout, so ndots differed between them, and staging databases could not take a high-load test. Looking at the CoreDNS logs and resolv.conf instead of guessing found that ndots:5 made lookups of outside names try every search domain first.

  2. Symptoms

    On a Friday afternoon a tenant of SCHIP, Adevinta's multi-tenant Kubernetes runtime, reported a spike of HTTP 5xx errors in some of its services. The drops in quality of service came back periodically through the following days, each one short, and were reported mostly around midnight.

    Root cause
    Component
    Contributing factor
    Detection

    A tenant reported a spike of HTTP 5xx errors in some of its services; the DNS Latency SLI had already been degraded for some time without being acted on.

    Remediation
    • raised the dnsmasq concurrent query limit from 150 to 1500
    • added a CoreDNS header block that sets the ra and aa flags and clears rd, so dnsmasq caches cluster.local answers
    • configured dnsmasq on each node to answer NXDOMAIN for unresolvable search-domain names instead of forwarding them to CoreDNS
    • changed the fluent-bit log router hostname to a fully qualified name
    • asked the affected tenants to use fully qualified names for internal calls
    Lessons

    The DNS Latency SLI had shown the problem long before anyone looked at it. An SLO only protects you when its SLIs are trusted and a drop is investigated. The investigation took a month partly because several on-call groups worked on it separately, without one place for observations and hypotheses, and sometimes chased hypotheses already discarded. Disprove one hypothesis before starting the next, and collect data the metrics system lacks: DNStop showed the garbage lookups that no dashboard did. With ndots:5, short service names multiply DNS traffic; a node-local cache only helps if it can cache the cluster DNS answers at all.

Check your cluster for this

These 2 cases involve CoreDNS and Client-side DNS resolver and cache. 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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