Incident Library
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Cases2 cases

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  1. Symptoms

    Every rolling update of the team's microservices on Amazon EKS, behind an Application Load Balancer, was followed by intermittent 502 and 503 errors for users. A Slack message at 3 a.m. read "배포는 성공했는데, 서비스는 죽었다" (the deployment succeeded, but the service died). Every pod was Ready and Datadog was green while users saw errors.

    Trigger

    A rolling update of a Deployment served through an ALB that registers pod IPs as targets, with no pod readiness gates.

    Root cause
    Component
    Contributing factor
    Detection

    A Slack message at 3 a.m. reported that the deployment had succeeded but the service was down; Datadog dashboards were green at the time.

    Remediation
    • labelled the namespace with elbv2.k8s.aws/pod-readiness-gate-inject=enabled so the AWS Load Balancer Controller injects pod readiness gates and Kubernetes waits for the ALB target to be healthy before deleting old pods
    Lessons

    A pod being Ready in Kubernetes does not mean the load balancer will send it traffic. Without a readiness gate, a rolling update can delete the old pods while the ALB still considers the new targets unhealthy, and dashboards that track pod status stay green during the errors. Making pods wait longer on shutdown reduced the errors but did not fix the start-up gap and made every deployment much slower; the readiness gate ties the pod's Ready state to the ALB's view of the target.

  2. Symptoms

    After Ravelin moved its API layer from VMs into its GKE cluster behind a Kubernetes Ingress, the integration tests occasionally received 502 errors.

    Trigger

    Pods behind the Ingress being removed by their controller, as happens during rolling deploys and scaling.

    Root cause
    Component
    Contributing factor
    Detection

    Integration tests occasionally received 502 errors.

    Lessons

    Removing a pod's endpoint and signalling the pod happen at the same time, and an ingress can take a long time to catch up. A pod behind an ingress should keep serving after SIGTERM until its grace period ends, and the grace period should be longer than the load balancer's reprogramming time.

Check your cluster for this

These 2 cases involve Ingress controller and Pod termination. 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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