Cases26 cases

6 to 10 of 26

1. IL-0247 One in a million search requests took 100 times longer on Pinterest's Manas leaf nodes after moving to Kubernetes

   Pinterest2025

   Symptoms

   During performance testing of Pinterest's search system Manas on its new Kubernetes platform, a small but persistent share of search requests timed out. About one request in a million took 100 times longer than usual.

   High latencyIntermittent timeouts

   Root cause

   Software defect

   Component

   Telemetry agentLinux kernel

   Contributing factor

   Unreviewed defaults

   Detection

   Performance testing with traffic sent to a test cluster showed a small but persistent percentage of requests timing out.

   Remediation

   • Disabled cAdvisor's working set size estimation on all PinCompute nodes

   Lessons

   CPU shielding does not fully isolate a process from its neighbours. Showing early that the node image was not the cause narrowed the search and avoided dead ends. Simple blackbox debugging, breaking things until the system stops working, works as a way of bisecting the problem.

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2. IL-0080 kube-dns on Mercari's GKE clusters could not keep up with peak-hour DNS query rates, and a Sev1 production outage followed when several services failed DNS resolution

   Mercari2025sev1

   Symptoms

   During peak hours, when Mercari's GKE clusters handle very high request rates, the platform team saw kube-dns reaching its limits. DNS query rates were high enough to overwhelm the kube-dns service.

   DNS resolution failuresIntermittent timeoutsService outage

   Trigger

   Peak-hour traffic on the GKE clusters produced more DNS queries than the few kube-dns pods could answer.

   Root cause

   Capacity exhaustion

   Component

   kube-dns

   Contributing factor

   No cachingSingle point of failure

   Detection

   During peak hours the team saw frequent NXDOMAIN and truncated-response errors and recurring "failed to refresh DNS cache" errors on the clusters, which showed that kube-dns had reached its limits.

   Remediation

   • deployed NodeLocal DNSCache on the Laboratory GKE cluster with a specific nodeAffinity to measure its effect
   • rolled NodeLocal DNSCache out gradually to the Dev and Prod environments by labelling node pools so its pods could be deployed there

   Lessons

   When every pod in a busy cluster resolves names through a few central kube-dns pods, DNS becomes a shared bottleneck, and a DNS failure quickly turns into higher latency, timeouts and cascading outages across microservices. A cache on each node takes most of that load off kube-dns and keeps resolution local to the node. Rolling the cache out first to an internal test cluster with nodeAffinity, and then node pool by node pool through labels, kept the blast radius of the change small.

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3. IL-0201 A framework upgrade caused kernel panics in GitHub's Kubernetes infrastructure, and GitHub.com web and API requests, mostly for issues and pull requests, failed intermittently for about 16 hours

   GitHub2025

   Symptoms

   From 18:05 UTC on March 17, 2025, GitHub.com web and API requests failed now and then for a small percentage of users, mostly requests about issues and pull requests. At 18:39 UTC the status page reported degraded performance for Issues.

   High error rateIntermittent timeouts

   Trigger

   A framework upgrade rolled out to GitHub's Kubernetes infrastructure caused kernel panics.

   Root cause

   Breaking change in an upgrade

   Component

   Linux kernel

   Contributing factor

   –

   Detection

   The status page opened the incident at 18:39 UTC, 34 minutes after the failures began, as an investigation of reports of degraded performance for Issues.

   Remediation

   • Downgraded the framework upgrade that caused the kernel panics
   • Disabled the problematic feature of the framework

   Action items

   • Investigate why the upgrade caused the kernel panics
   • Take steps to temporarily prevent the problem from coming back
   • Work out longer-term patch plans
   • Improve observability so that similar classes of problems can be reacted to quickly

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4. IL-0081 API requests timed out during deployment rollouts because the ingress-nginx enable-serial-reloads option held back endpoint updates while a long NGINX reload was running

   Cresta2025

   Symptoms

   During a deployment, traffic into the Kubernetes cluster started hitting dead ends: some API requests timed out and requests were slow and disrupted while the rollout ran.

   Intermittent timeoutsStale endpoint routingHigh latency

   Trigger

   A deployment rollout changed backend endpoints while a long-running NGINX full reload was in progress, with the enable-serial-reloads option enabled on the ingress-nginx controller.

   Root cause

   Software defect

   Component

   Ingress controller

   Contributing factor

   –

   Remediation

   • restarted the NGINX Ingress controller as an attempt to resolve the problem

   Action items

   • Open an issue in kubernetes/ingress-nginx describing how enable-serial-reloads blocks dynamic endpoint updates

   Lessons

   A flag meant only to serialise full reloads also delayed endpoint updates, which opened a window during rollouts in which the ingress routed to pods that no longer existed. Options that change how the ingress controller applies configuration need to be checked against what happens to endpoint updates during a long reload.

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5. IL-0440 Pods on Cybozu's Neco Kubernetes platform got frequent no such host and i/o timeout DNS errors from dropped packets

   Cybozu2024

   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.

   DNS resolution failuresIntermittent timeoutsPacket loss

   Trigger

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

   Root cause

   Capacity exhaustion

   Component

   Linux kernelClient-side DNS resolver and cache

   Contributing factor

   Unreviewed defaults

   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.

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