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

Cases3 cases

1 to 3 of 3

  1. Symptoms

    On Sunday 2 June 2019, with user impact beginning between 11:47 and 11:49 US/Pacific, Google Cloud projects in several US regions saw elevated packet loss from network congestion, and some regions became unreachable. Customers saw higher latency, intermittent errors and lost connectivity to instances in us-central1, us-east1, us-east4, us-west2, northamerica-northeast1 and southamerica-east1, while us-west1, Europe and Asia had no regional congestion.

    Trigger

    At 11:45 US/Pacific a relatively rare type of datacenter maintenance event started in one physical location, and the automation that runs it descheduled logical clusters that also held network control plane jobs in other physical locations.

    Root cause
    Component
    Contributing factor
    Detection

    Google engineers were alerted to the failure two minutes after it began and started the incident process used for the most serious production incidents. The first customer notice appeared on the status page at 12:53 US/Pacific.

    Remediation
    • Lowered the priority of less critical network traffic classes to reduce congestion
    • Halted the datacenter automation software responsible for the maintenance event
    • Rescheduled the network control plane and its supporting infrastructure in each location
    • Rebuilt and redistributed the lost network control plane configuration, rolling it out from 14:03
    • Directed service traffic away from the affected regions
    • Moved the Cloud VPN control plane in three regions out of its fail-safe state
    Action items
    • Keep the maintenance automation off until safeguards stop it descheduling jobs in several physical locations at once
    • Harden the cluster management software to reject such requests whatever their origin
    • Reconfigure the network control plane to reject maintenance requests of the type involved
    • Make the network control plane in each location persist its configuration
    • Let the network stay in fail static mode longer when the control plane is lost
    • Review, update and test emergency response tooling and procedures, including customer communication tooling, for such network failures
    • Extend continuous disaster recovery testing to this and similarly catastrophic failures
  2. Symptoms

    From 12:17 to 12:49 PDT on 17 July 2018, Google Cloud HTTP(S) Load Balancers answered a share of requests with 502 return codes, and connections to TCP/SSL Proxy Load Balancers were reset. The share of failed requests moved between 33% and 87% during those 32 minutes, and automated monitoring alerted Google engineers at 12:19.

    Trigger

    A configuration change in the production environment intermittently set off a bug in a new feature of the second-layer Google Front Ends.

    Root cause
    Component
    Contributing factor
    Detection

    Automated monitoring alerted Google's engineering team at 12:19 PDT, two minutes after the 502s began.

    Remediation
    • Reverted the configuration change at 12:44 PDT, which stopped the GFE restarts
    Action items
    • Add safeguards that disable features not yet in service
    • Harden the GFE testing stack against latent bugs in production binaries that make a task restart
    • Isolate the shards of GFE pools further from each other to reduce the scope of failures
    • Build a consolidated dashboard of all configuration changes for GFE pools
  3. Symptoms

    From 12:33 US/Pacific on 6 November 2017, the App Engine Memcache service was unavailable to applications in all regions. Google received an automated alert at 12:34, and the status page said all projects using Memcache were affected.

    Trigger

    A configuration update, after which the database entity holding the mapping of applications to datacenters could no longer be read or written.

    Root cause
    Component
    Contributing factor
    Detection

    Google received an automated alert at 12:34 US/Pacific, one minute after the start.

    Remediation
    • Sent the configuration update with a long enough deadline, which synchronised the database replicas and let clients read the mapping
    • Ramped Memcache traffic back up gradually while the error rate fell
    Action items
    • Reduce the number of readers of the global configuration to avoid contention during writes
    • Regionalise the configuration to limit the blast radius of similar failures
Check your cluster for this

These 3 cases involve Backbone network (WAN) and BGP routing. 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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