Incident Library
Applied filters ComponentPrometheusSymptomAutoscaler misbehaviourClear allEvery case under the filters, with no sentence; newest first.
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Cases2 cases

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  1. Symptoms

    From 20:01 UTC on 28 May 2026, Buildkite build and job notifications (GitHub commit status, email, Slack and webhook notifications) reached a subset of customers late. Internal queue latency monitoring showed the delay as queues grew while notification-processing workers stayed underprovisioned.

    Trigger

    The Prometheus service used by Buildkite's EKS autoscaling path ran out of storage, so some EKS-based notification workers could not autoscale while their queues were growing.

    Root cause
    Component
    Contributing factor
    Detection

    Internal queue latency monitoring detected the rising notification delivery latency.

    Remediation
    • Moved the affected notification-processing workloads from EKS back to the ECS-based infrastructure
    • Adjusted scaling configuration and worker counts by hand
    • Completed the rollback and scaled the remaining affected ECS services
    • Increased Prometheus storage capacity and recorded the change in infrastructure as code
    Action items
    • Alert before Prometheus storage exhaustion can affect autoscaling
    • Fix GitHub notification retry behaviour for a class of errors that could cause repeated retries
    • Make the EKS-to-ECS rollback verify destination capacity, autoscaling configuration and traffic movement
    • Review the CPU, memory and storage allocations of EKS control-plane dependencies such as KEDA and Karpenter
    • Move customer-critical workloads to EKS more gradually, with clearer settling periods
    • Improve customer-level monitoring of notification delivery latency to detect customer-impacting regressions earlier
    • Review which notification types sit on customers' scheduling or CI hot path and need tighter latency, separate queueing or specific alerting
    • Update the status page earlier when notification latency is likely to affect customer workflows
    • Describe the customer-visible impact in status page updates, not only the affected internal service
    • Improve internal escalation for customers who report critical CI impact
    Lessons

    Buildkite said recovery took longer than expected because the rollback path from EKS to ECS did not fully handle this failure, and that its public status page did not show the customer-visible impact as quickly or clearly as it should have, since notification latency affects customers differently depending on how their CI and deployment workflows use notifications.

  2. Symptoms

    On 20 May 2026 a subset of Buildkite customers saw delays in notification delivery, build dispatch and the metrics services. The status page first reported delays to notifications for all customers and later narrowed it to a subset of customers.

    Trigger

    Autoscaling during Buildkite's migration of production services from AWS Fargate to AWS EKS raised the number of pods that Prometheus tracked, and with it the memory the Prometheus server needed.

    Root cause
    Component
    Contributing factor
    Remediation
    • Moved the load of the affected services back to AWS Fargate by following prepared documentation
    • Scaled up the services of a few customers with very large backlogs further by hand
    Action items
    • Upsize the underlying system nodes
    • Set higher requests and limits for the Prometheus server so it can handle more load
    • Review all new EKS resources and set any missing requests and limits
    • Add observability and monitors for EKS pod and node health
Check your cluster for this

These 2 cases involve Prometheus and Container memory limit. 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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