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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    At 7:12pm Eastern Time on 5 July 2016, logs.cloud.gov, the cloud.gov log search service, sent users into a login redirect loop, so they could not log in to the service.

    Root cause
    Component
    Contributing factor
    Remediation
    • Moved Redis on the logsearch service to a much larger memory instance so it could keep logs while Elasticsearch was down
    • Corrected the Elasticsearch memory limits and the /tmp noexec hardening setting and redeployed the cluster
    • Redeployed the Kibana instance and verified the logs once the cluster deployment was complete
    Action items
    • Add a failure alert that checks whether logs are coming through
    • Make Redis auto-scaling or highly available so that failures in more fragile downstream components do not cause data loss
    • Extend the incident response plan to start with events that are not security-specific
    • Create a chaos bot for the logs.cloud.gov service
  2. Symptoms

    From 9:28am Pacific Time on 8 March 2016, applications on the cloud.gov PaaS that relied on outbound traffic to reach the services they depended on became unavailable, and at one point every application on cloud.gov was down.

    Trigger

    At 9:28am Pacific Time on 8 March 2016 a contractor at Aquilent changed the AWS security group settings, one of several changes made in the process of achieving ATO for the platform.

    Root cause
    Component
    Contributing factor
    –
    Remediation
    • Added exceptions for individual applications, which restored some of them
    • Rolled back the security group change, which restored all applications
    Action items
    • Put all security group configuration into version control and make changes through pull requests
    • Monitor the applications running on cloud.gov and alert the cloud.gov team when they do not work as expected
    • Use CF security groups instead of AWS security groups and make the current rules visible to the cloud.gov team and the teams using it
    • Create a notification system to reach the key contact of each application on the platform
    • Create a more accurate staging environment to test changes like this
Check your cluster for this

These 2 cases involve In-memory cache and Elasticsearch or OpenSearch. 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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