Incident Library
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  • Root cause
  • Component
  • Symptom
  • Contributing factor
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Cases3 cases

1 to 3 of 3

  1. Symptoms

    On 4 September 2025 a CoreDNS pod in a Cisco ThousandEyes Kubernetes cluster was OOMKilled.

    Trigger

    A CoreDNS pod was OOMKilled.

    Root cause
    Component
    Contributing factor
    Lessons

    The closing slide sets three behaviours side by side: Istio's extremely aggressive DNS cache refresh with one client port reused for all DNS requests, kube-proxy's lack of a cleanup mechanism for stale conntrack entries of terminated pods (fixed in Kubernetes v1.32), and conntrack's default bidirectional UDP stream timeout of 2 minutes. The speaker describes Istio as making some very complex things simple but some very simple things complex, and presents Cilium, which looks up Services in maps instead of walking the KUBE-SERVICES chain and can replace kube-proxy entirely with its eBPF data path.

  2. Symptoms

    From September 2021, each rollout of an update to Datadog's metrics query service, which serves real-time and historical metric data to the web frontend and to monitor evaluation, came with a rise in errors. Clients retried failed queries, so few errors reached users, but the retries slowed dashboards and monitors. The service's logs showed DNS errors stopping it from connecting to the data stores it depends on.

    Trigger

    Rollouts of the metrics query service, which delete the old pods. The client behaviour behind the failures came from an August 2021 rollout of the metrics query clients that applied round_robin as the new default gRPC load balancing policy.

    Root cause
    Component
    Contributing factor
    Detection

    Errors rose during rollouts of the metrics query service, and the service's logs showed DNS errors when connecting to its data stores.

    Remediation
    • Raised the memory of the node-local-dns pods from 64 MB to 256 MB, which stopped the OOM kills but not the DNS errors
    • Tested larger instance types and confirmed that scaling up the service's infrastructure resolved the errors
    • Removed the custom gRPC reconnect parameters from the clients to restore the defaults
    Action items
    • Contribute a change to Cilium that adds an unreachable route for a deleted pod's IP so clients get an ICMP error
    Lessons

    The errors looked like DNS but were not. ENA metrics and VPC Flow Logs gave the visibility into VPC connection tracking that host metrics did not, and Cilium, Kubernetes and AWS networking interact in ways that can make reverse path filtering drop packets it should allow. DNS propagation time depends on many settings. The causes were changes Datadog had made itself, to work around a dependency bug, to resolve earlier incidents and to override default reconnect parameters, which looked safe at the time and showed their effects much later, when the link was hard to see.

  3. Symptoms

    Prometheus detected a high rate of 5xx responses on three services, called A, B and C in the write-up, and paged the on-call engineers through VictorOps at 22:18 EET. The 5xx rate was also visible in Kibana.

    Trigger

    Because load in the cluster was low, the CoreDNS autoscaler reduced the number of CoreDNS pods from 3 to 2.

    Root cause
    Component
    Contributing factor
    Detection

    Prometheus alerted on a high 5xx rate on services A, B and C and paged on-call through VictorOps.

    Remediation
    • reverted the latest release of the affected service
    • a regular deploy created new nodes, the CoreDNS autoscaler added CoreDNS pods, and the conntrack table was rewritten
    Action items
    • Disable the autoscaler for CoreDNS
    • Run a DNS cache server in production
    • Monitor conntrack usage
    Lessons

    Scaling CoreDNS down is not free: if kube-proxy fails to clear conntrack entries for the removed pod, clients keep sending DNS queries to it. Known DNS weaknesses in a cluster should be prioritised before they cause an outage, and fixes that only treat consequences leave the underlying conntrack problem in place.

Check your cluster for this

These 3 cases involve conntrack table and CoreDNS. 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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