Incident Library
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Cases2 cases

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  1. Symptoms

    From 11:45 UTC on 30 July 2024, a subset of customers got intermittent connection errors, timeouts and latency spikes when connecting to Microsoft services that use Azure Front Door (AFD) and Azure Content Delivery Network (CDN). The Azure Portal team saw the first service degradation at 11:47 UTC.

    Trigger

    Around 11:45 UTC the Azure network DDoS protection service was disengaging after a routine DDoS mitigation and returning traffic to its default routing to AFD, but the routes at one site in Europe could not be updated because the network control plane could not reach that site during a local power outage.

    Root cause
    Component
    Contributing factor
    Detection

    The Azure Portal team detected service degradation at 11:47 UTC and began to investigate. At 12:10 UTC network monitoring correlated the Portal incident to a network issue at one site in Europe, and networking engineers joined.

    Remediation
    • Rerouted traffic under the standard congestion playbook, which removed most of the impact by 13:58 UTC
    • Ordered the network control plane to reissue its commands to the misbehaving device, which could not be reached
    • Removed the device that kept attracting traffic from the network and scanned the network for other issues
    Action items
    • Add the missing configuration on network devices so a DDoS mitigation issue in one geography cannot spread to another
    • Improve validation and monitoring in the Azure network to detect invalid configurations
    • Improve monitoring for when the DDoS protection service is unreachable from the control plane but still serving traffic
  2. 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
Check your cluster for this

These 2 cases involve Network control plane (SDN) and Backbone network (WAN). 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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