Cases2 cases
1 to 2 of 2
IL-0470Buildkite notifications were delayed after Prometheus storage filled and EKS notification workers could not autoscaleBuildkite2026- 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.
IL-0548Buildkite's EKS Prometheus server was killed for memory again and again, so services stopped scaling and jobs laggedBuildkite2026- 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
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.
By root cause1
Capacity exhaustion2 cases
- Contributing factor
- Organisation