Incident Library
Applied filters Root causeSoftware defectSymptomDNS resolution failuresClear allEvery case under the filters, with no sentence; newest first.
Suggested filters Search, and the values found in your words appear here.

Graph

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

Cases4 cases

1 to 4 of 4

  1. Symptoms

    At 11:48 PM PDT on 19 October 2025, every system that reached DynamoDB in us-east-1 through the public regional endpoint started getting DNS failures and could not connect. This included customer traffic and internal AWS services that depend on DynamoDB. DynamoDB global table replicas in other regions still answered but fell behind in replication to and from us-east-1.

    Trigger

    One DNS Enactor, slowed by unusually high retry delays, applied a much older DNS plan to the regional DynamoDB endpoint just as another Enactor that had applied the newest plan ran its clean-up, which deleted that older plan and with it every IP address of the endpoint.

    Root cause
    Component
    Contributing factor
    Detection

    DNS failures to DynamoDB began immediately at 11:48 PM PDT and the engineering teams of affected AWS services were engaged at once; by 12:38 AM they had identified DynamoDB's DNS state as the source. The later NLB health check problem was detected by monitoring at 6:52 AM.

    Remediation
    • applied temporary mitigations by 1:15 AM that let some internal services reach DynamoDB and repaired key internal tooling
    • restored all DynamoDB DNS information by 2:25 AM through manual operator intervention
    • throttled incoming work and selectively restarted DWFM hosts from 4:14 AM so droplet leases could be re-established
    • reduced the load on Network Manager to bring network configuration propagation times back to normal by 10:36 AM
    • disabled automatic health check failover for NLB at 9:36 AM, and re-enabled it at 2:09 PM after EC2 recovered
    • relaxed the EC2 request throttles from 11:23 AM until all EC2 APIs and launches were normal at 1:50 PM
    Action items
    • Disable the DynamoDB DNS Planner and DNS Enactor automation worldwide
    • Fix the race condition and add protections against applying incorrect DNS plans before re-enabling the DNS automation
    • Add a velocity control to NLB that limits how much capacity a single load balancer can remove when health check failures cause availability zone failover
    • Build an additional EC2 test suite that exercises the DWFM recovery workflow at scale
    • Improve throttling in EC2 data propagation systems so incoming work is rate limited by the size of the waiting queue
    Lessons

    A single DNS record that automation can empty is enough to take a widely used regional endpoint off the network, and every service built on it fails in turn. A check made once at the start of a long operation can be stale by the time the operation writes its result. Recovery of the dependency is not recovery of the dependents: systems that lost state during the outage, such as EC2's droplet leases and network propagation backlog, can collapse under their own catch-up work, and container services that rely on new instance launches keep failing to launch and scale until that work is done.

  2. 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.

  3. Symptoms

    Services that used the team's Redis-dependent library crashed on start-up, and their teams reported it to the ops members. The Spring Boot logs showed the applications failing to resolve the Redis hostname during bean initialisation.

    Root cause
    Component
    Contributing factor
    Detection

    Service teams reported start-up crashes to the ops members of the team; later the resolution failures were seen in Kibana.

    Remediation
    • set ndots to 4 with a dnsConfig block in the Kubernetes deployment manifests
    • corrected the maximum connection pool size in the Redis library, cutting Redis connections by about 70%
    Action items
    • Test Debian glibc-based base images added to the image library to see whether they resolve the DNS problems
    • Update dependencies to newer Netty versions
    Lessons

    With ndots:5, a name outside the cluster that has fewer than five dots is first tried with every cluster search domain. Adding a trailing dot avoids that, but only if every library in the path accepts it, and the Netty version in use did not. The ndots change is a workaround that will not hold forever. The author would like better alerting for this kind of failure but notes that alerts on one-off DNS failures are not wanted.

  4. Symptoms

    At about 15:00 UTC on 19 July 2018, monitoring alerted on rising 5xx responses from several APIs, most notably pilot and tiles. Logins failed first, because the pilot service fetches the user's profile, and from there all services became unresponsive. Every affected API ran on the production Kubernetes cluster.

    Root cause
    Component
    Contributing factor
    Detection

    Monitoring alerted on an increase in 5xx responses from several APIs, most notably pilot and tiles.

    Remediation
    • restarted the kubelets on the stuck worker nodes, which did not last
    • restarted all worker nodes in a staggered order starting at about 18:00 UTC, which took about 1.5 hours
    Action items
    • Restart nodes on a rolling schedule to keep nodes and kubelets healthy until the fixes land upstream and reach the cloud provider, Microsoft Azure
    Lessons

    When nodes keep falling back to NotReady after kubelet restarts and pods fail on network and DNS errors, a known upstream bug may be the cause; matching the symptoms to the upstream issue tracker, with help from the community, found the cause and the fix candidates.

Check your cluster for this

These 4 cases involve Cloud load balancer and conntrack table. 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.

By root cause1