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

Cases10 cases

1 to 5 of 10

  1. Symptoms

    From 16:18 UTC on 28 May 2026 the Lucidworks AI hosted LLMs in the us-southcarolina region were unavailable: queries to llama-3-8b-instruct, llama-3v2-3b-instruct and phi-4-multimodal-instruct returned 500 or 429 errors. Search, embedding models, the Lucidworks Platform UI and passthrough LLM calls kept working.

    Trigger

    A routine Kubernetes patch upgrade on a cluster in us-southcarolina cycled its node pools one after another in quick succession.

    Root cause
    Component
    Contributing factor
    Remediation
    • Deleted the degraded replacement head node that could not pull container images
    • Waited for the LLM image pulls to finish on the replacement nodes
    • Launched new nodes with the required LLM images and redirected Lucidworks AI traffic to them
    Action items
    • Upgrade clusters that host LLM workloads in sequence, with each node pool fully healthy before the next one is upgraded
    • Investigate image pre-loading, such as pre-baked disks or image streaming, for large ML model images
    • Open a support ticket with the cloud provider about the abnormal Docker pull times
    • Coordinate Kubernetes maintenance windows with LLM service owners so they do not clash with ongoing deployments
    • Build tooling to force a Ray cluster failover to the blue or green state instead of waiting for Ray to settle it
  2. Symptoms

    On 12 May 2025 at 20:15 EEST a Freshdesk ticket reported that users' servers on the Earthscope hub were taking more than 15 minutes to start and that their kernels were being killed. It happened during a workshop and also affected other instructors using the hub; a second report said a short course of about 30 users was having major problems.

    Trigger

    A workshop with about 30 users on a profile option that guaranteed 8 GB of memory and set no memory limit on 32 GB nodes.

    Root cause
    Component
    Contributing factor
    Detection

    A Freshdesk support ticket from the community at 20:15 EEST, brought to the team's attention in the #support-freshdesk Slack channel at 20:49.

    Remediation
    • ran a helm rollout and hub redeploy, which partly improved server starts
    • made the 'medium' profile available and raised its memory guarantee to reduce overcommitment
    • pre-warmed the cluster with 15 nodes for the 30-user workshop
    • set explicit memory limits, with the guarantee equal to the limit, on the community's small-node profile options (https://github.com/2i2c-org/infrastructure/pull/6047)
    Action items
    • Write an incident report
    • Hold an internal retrospective about the incident (https://github.com/2i2c-org/meta/issues/2194)
    Lessons

    A memory guarantee without a limit lets a user server grow into memory that other pods on the same node were counting on, and on a shared node that ends with users' pods evicting each other. Setting the guarantee equal to the limit removes the overcommitment. For a known workshop, pre-warming enough nodes ahead of time keeps server start times short.

  3. Symptoms

    At 09:36 on 18 March 2025, during the upgrade of the live cluster to EKS 1.30, users reported that their pods were being terminated and were not restarting automatically, in both production and non-production environments. Automated infrastructure alerts fired as well, and production services had outages.

    Trigger

    Upgrading the live EKS cluster from 1.29 to 1.30, during which the descheduler attempted to reschedule all pods on the cordoned nodes simultaneously.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported at 09:36 that pods were being terminated and not restarting, and automated infrastructure alerts fired.

    Remediation
    • Removed the cordon annotation so pods could be rescheduled
    • Deleted stuck 1.30 nodes to force their recreation
    • Added a new node group of 20 nodes running 1.30 by hand
    • Cordoned and drained all old 1.29 nodes onto the new 1.30 nodes
    Action items
    • Raise an AWS Production System Down support case (Case ID: 174229643100496)
    • Get guidance from AWS support on querying control-plane logs to find the root cause of similar issues
    • Document a runbook for emergency scaling of a new node group in case of unexpected capacity shortages
    • Alert on an imbalance between the autoscaling group and the Kubernetes nodes
    • Review the descheduler configuration to understand why it throws pods off cordoned nodes, and fix it where possible
    • Alert on spikes in the pending pod count
    Lessons

    The write-up lists review actions rather than lessons. They show the team had no documented way to add an emergency node group, no alert on a mismatch between the autoscaling group and the nodes Kubernetes sees, no alert on a spike in pending pods, and no clear understanding of how the descheduler treats cordoned nodes.

  4. Symptoms

    At 16:40 UTC on 19 April 2024 CoW Protocol's mainnet production environment stopped producing settlements; the outage officially began then.

    Trigger

    During a cluster capacity expansion, the Infrastructure as Code automation updated the AWS VPC CNI plugin, because the CNI version was not hardcoded in the IaC and the IaC library version had recently changed.

    Root cause
    Component
    Contributing factor
    Detection

    The CNI version mismatch was identified as the cause at 17:03 UTC, 23 minutes after settlements stopped.

    Remediation
    • upgraded the Kubernetes cluster
    • set up new node groups with a new version of the networking plugin
    Lessons

    Versions in IaC scripts should be specified explicitly so an automation run cannot update a component such as the CNI plugin unintentionally. Changes in production need change management that is easy to revert.

  5. Symptoms

    At 13:42 the RootVolUtilisation-Critical alert fired in the high-priority alerts channel. At 14:03 a user reported image pull errors with the message "no space left on device".

    Trigger

    Upgrading the EKS Terraform module to version 18, which changed the node launch template, and draining workloads onto the new nodes it created.

    Root cause
    Component
    Contributing factor
    Detection

    The RootVolUtilisation-Critical alert fired in the high-priority alerts channel at 13:42, and a user reported "no space left on device" image pull errors at 14:03.

    Remediation
    • Uncordoned the old default node group and drained the new nodes to move workloads back
    • Identified the launch template change that cut the root volume to 20 GB and applied a fix on the manager and live clusters
    • Drained the old node group onto the fixed nodes
    Action items
    • Update the runbook to compare launch template changes during an EKS module upgrade
    • Create a test setup that pulls images of different sizes, like live
    • Update the RootVolUtilisation alert runbook to check the disk space configuration
    • Scale CoreDNS dynamically based on the number of nodes
    • Investigate whether IPv6 can solve the IP prefix starvation problem
    • Add drift testing to identify when a terraform plan shows a change to the launch template
    • Set up logging for the CNI and ipamd logs and alerts on errors related to IP prefix starvation
    Lessons

    The write-up lists review actions rather than lessons. They aim at two gaps: the launch template changes brought by a module upgrade were not compared or drift-tested before rollout, and there were no CNI or ipamd logs or alerts to show the IP prefix starvation the team suspected during the drain.

Check your cluster for this

These 10 cases involve Node pool and Pod priority and preemption. 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 cause4

Faulty deployment2 cases

  1. IL-0237 A Kubernetes patch upgrade evicted every Ray Serve head and worker pod at once, and Lucidworks hosted LLMs went down
  2. IL-0020 During an EKS 1.30 upgrade the descheduler tried to reschedule every pod on the cordoned nodes at once and production workloads went down

Capacity exhaustion2 cases

Organisation
  1. IL-0099 User servers on 2i2c's Earthscope hub took over 15 minutes to start and kernels were killed during a workshop, because a profile option guaranteed 8 GB of memory with no limit on 32 GB nodes
    2i2c2025
  2. IL-0070 Critical pods on core nodes evicted when Prometheus began scraping about 200 nodes after a dask-gateway scale-up
    2i2c2023

Configuration change5 cases

  1. IL-0114 An unpinned AWS VPC CNI plugin was updated automatically during a capacity expansion, leaving new pods Pending without IP addresses and stopping CoW Protocol settlements for about 3.5 hours
  2. IL-0019 An EKS Terraform module upgrade shrank node root disks from 100 GB to 20 GB and image pulls failed with no space left on device
  3. IL-0231 Deleting EKS managed node groups also deleted Karpenter's instance profile, and every Stytch worker node shut down
    Stytch2023
  4. IL-0442 Older pods on LIFULL's KEEL Kubernetes cluster were preempted all at once and the external error rate spiked
    LIFULL2021
  5. IL-0004 A new default pod priority let a new Cortex cluster preempt every production ingester in a cascade, taking Grafana Cloud Hosted Prometheus down

Software defect1 case

Organisation
  1. IL-0038 kubelet rollout hit a Kubernetes bug and left every node in a cluster NotReady, triggering mass pod eviction
    Oath2018