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

Cases2 cases

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  1. Symptoms

    From about 10:30 UTC on 30 August 2023, customers had trouble accessing or using Azure, Microsoft 365 and Power Platform services in Australia East. The affected Azure services included Azure Kubernetes Service (AKS) along with storage, SQL Database, Cosmos DB, virtual machines and Azure Resource Manager.

    Trigger

    At 08:41 UTC a lightning strike on electrical infrastructure about 18 miles away caused a utility voltage sag that shut down the cooling chillers of datacenters in one Australia East availability zone; 13 chillers failed to restart automatically and five could not be restarted, so two data halls overheated and their infrastructure was shut down.

    Root cause
    Component
    Contributing factor
    Detection

    Cosmos DB impact was detected by monitoring at 10:47 UTC, first automated communications went to Azure Service Health at 10:48 UTC, the public Azure Status page was updated at 11:30 UTC, and all subscriptions in Australia East were sent portal communications at 11:36 UTC.

    Remediation
    • shut down the remaining networking, compute and storage in the two affected data halls so the chilled water loop could cool down
    • restarted the five chillers manually at 12:12 UTC
    • restored power to all hardware by 15:10 UTC and brought infrastructure back in phases
    • restored AKS operations through the recovery of the SQL Database operation queue, with no other mitigation
    Action items
    • AKS: convert all operation queue SQL Database databases to be zone redundant (estimated September 2023)
    • AKS: replace all cross-region SQL Database queue usage with zone-redundant Service Bus queues (estimated September 2023)
    • Change the control timing logic of the Chiller Management System so chillers do not fail to restart after voltage fluctuations
    • Change the emergency procedure for manual restarts of simultaneous chiller failures from an adjacent sequence to a load-based sequence per data hall
    • Increase technician staffing at the datacenter as a temporary measure for manual chiller restarts
    • Storage: optimise the large-scale recovery process and update troubleshooting guides (estimated December 2023)
    • Azure Service Fabric: improve reliability of SQL Database tenant ring recovery (estimated December 2023)
    • SQL Database: review the trigger criteria of auto-failover groups (estimated October 2023)
    • SQL Database: upgrade internal tooling to enable mass migration of databases (estimated December 2023)
    • Cosmos DB: optimise Service Managed Failover for single-region-write accounts (estimated November 2023)
    • ARM: complete the migration of its storage layer to the zonally redundant architecture (estimated December 2023)
    • Incident management: harden readiness, process and playbook for power-down scenarios (estimated October 2023)
    Lessons

    A control plane spread across availability zones still fails with a zone when one of its dependencies, here the SQL Database operation queue, is not zone redundant. When a second region uses the same database, the failure crosses into that region as well. Workloads already running were not expected to be affected; what stopped was everything that needs the managed service's control plane, such as scaling and cluster changes.

  2. Symptoms

    During a team dinner, a Slack alert reported that one node of the CockroachDB cluster behind Cookie Run: Kingdom had gone down. The DevOps engineers were not worried at first, because CockroachDB is built to survive the loss of some nodes.

    Trigger

    A cooling system failure in an AWS Tokyo region data centre overheated the servers in one availability zone, which held CockroachDB nodes.

    Root cause
    Component
    Contributing factor
    Detection

    A Slack alert reported that a database node had gone down.

    Remediation
    • copied the data outside the broken ranges into new tables with INSERT INTO ... SELECT queries that skipped the affected ranges
    • ran debug unsafe-remove-dead-replicas together with Cockroach Labs engineers, recovering one of the two lost data ranges
    • restored the last data range with the storage-layer recovery method from the previous incident
    Action items
    • Configure CockroachDB Locality so data is spread evenly across availability zones
    • Deploy with one chart and a separate values file per availability zone to set Locality
    • Replace nodes by adding Locality-configured nodes, confirming replicas in every zone, then retiring the old nodes
    Lessons

    A replication factor sized for random instance retirements does not protect against a whole availability zone failing; for a game of this scale a multi-AZ placement is required, not optional. Keeping one uniform Helm chart made zone topology hard to set, which is part of why it was left out. A repetitive chart with a values file per zone sets it reliably.

Check your cluster for this

These 2 cases involve Application database and AKS control plane. 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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