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

Cases17 cases

16 to 17 of 17

  1. Symptoms

    On Friday, January 18, Moonlight's API began returning occasional errors that looked like connection problems with its Redis database. The API checks Redis on every authenticated request to validate the session. At the same time the Kubernetes monitoring reported some nodes and pods as unresponsive.

    Trigger

    The Kubernetes scheduler put several CPU-heavy pods on the same node, including all three replicas of the website and the server-side rendering pods.

    Root cause
    Component
    Contributing factor
    Detection

    API errors that looked like Redis connectivity problems, and Kubernetes monitoring that showed nodes and pods as unresponsive. Google Cloud Support later found the link between sustained 100% CPU and kernel panics.

    Remediation
    • added anti-affinity rules to all major deployments so their pods spread across nodes
    Action items
    • Keep working with Google Cloud support to find and fix the cause of the node kernel panics
    Lessons

    Three replicas give no fault tolerance if the scheduler places them all on one node; anti-affinity rules make the spread explicit. A node failure that comes from the workload itself moves with the workload when the scheduler reschedules it.

  2. Symptoms

    In the early morning of 8 January 2019 Tinder's platform had a persistent outage. Communication from nodes to pods failed, and so did DNS lookups, because DNS ran inside the Kubernetes cluster.

    Trigger

    Earlier that morning, pod and node counts on the cluster were scaled up in response to an unrelated increase in platform latency.

    Root cause
    Component
    Contributing factor
    Remediation
    • Raised gc_thresh1, gc_thresh2 and gc_thresh3 on the nodes
    • Restarted Flannel so it re-registered the missing networks
    Lessons

    Tinder lists the outage among its learnings about network fabric limits: with Flannel over VXLAN, every node, and every pair of nodes that exchange pod traffic, adds entries to each node's ARP table, so at 605 nodes the default gc_thresh3 hard cap was exceeded on all nodes.

Check your cluster for this

These 17 cases involve Linux kernel and Node operating system image. 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 cause5

Software defect7 cases

  1. IL-0247 One in a million search requests took 100 times longer on Pinterest's Manas leaf nodes after moving to Kubernetes
  2. IL-0138 A failed Nvidia driver build left broken kernel packages on the only Kubernetes master node, which hit a kernel panic on reboot after a power outage and took the homelab cluster down for six days
  3. IL-0112 The daily node rollover put DFDS's EKS nodes on an AMI later recalled for a kernel issue, causing "PLEG is not healthy" NodeNotReady flaps and pod network timeouts
    DFDS2022
  4. IL-0462 Some MySQL pods on Shopify's GKE clusters took up to 30 minutes to start, slowing instance replacement
  5. IL-0029 Slow user-facing services from CPU throttling on containers that used far less CPU than their limit
    Buffer2020
  6. IL-0012 CPU limits and an unpatched kernel CFS quota bug throttled multi-threaded services into stalls, failed health checks and timeouts
    Omio2020
  7. IL-0143 GKE nodes upgraded to certain 1.13 and 1.14 versions had an elevated number of kernel panics, fixed by releases that downgraded the Container-Optimized OS image

Breaking change in an upgrade2 cases

Organisation
  1. IL-0079 A GKE node auto-upgrade to an ubuntu_containerd image with a kernel regression left kube-proxy unable to apply its ip6tables rules, so load balancer health checks failed and several clusters lost all ingress traffic
  2. 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

Capacity exhaustion4 cases

  1. IL-0440 Pods on Cybozu's Neco Kubernetes platform got frequent no such host and i/o timeout DNS errors from dropped packets
    Cybozu2024
  2. IL-0176 Prometheus in a 235-node Kubernetes cluster crash-looped because over two million series exhausted host memory and the kernel OOM killer chose it first, as Burstable QoS gave it oom_score_adj 999
    LINE2020
  3. IL-0064 CPU-heavy pods packed onto one Google Cloud node drove it to kernel panics, and the crash moved from node to node until the site was down
  4. IL-0472 Node-to-pod traffic and DNS failed on Tinder's 605-node Flannel cluster when every node's ARP cache passed gc_thresh3
    Tinder2019

Configuration change2 cases

  1. IL-0153 DOKS worker nodes went NotReady at 06:00 UTC on three days because a systemd timer in the Debian image ran apt upgrade and killed it mid kernel upgrade, breaking node networking
  2. IL-0461 Every rollout of Datadog's metrics query service on Kubernetes raised errors that the logs blamed on DNS

DNS or network fault2 cases

Organisation
  1. IL-0057 Higher p99 latency after moving a reverse proxy to EKS, from outgoing connections delayed by a SNAT conntrack race
    Prezi2019
  2. IL-0047 Pod-to-pod requests delayed by 5, 10 or 15 seconds because of DNS lookups lost to a conntrack race