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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    From 21:40 UTC on 18 July 2024, virtual machines in the Azure Central US region lost access to their disks, and the services running on those VMs failed. Azure SQL Database and SQL Managed Instance showed unhealthy nodes and login failures, Cosmos DB requests failed, and service management operations failed across many Azure services.

    Trigger

    Routine changes to the VM host fleet led to a new allow list of VM host address ranges being generated and published to all Storage scale units in Central US. Recent network configuration changes had made some of the infrastructure file servers that hold the source data unreachable from the server generating the list, so the published list was incomplete.

    Root cause
    Component
    Contributing factor
    Detection

    Service monitoring detected the drop in VM availability at 22:06 UTC while the allow list update was being published. SQL monitoring detected unhealthy nodes and login failures within one minute of SQL becoming unavailable, and monitoring flagged the availability drop for Cosmos DB, SQL DB and SQL DB Managed Instance at 22:14 UTC.

    Remediation
    • Halted the allow list update workflow worldwide
    • Paused all deployments in the Central US region
    • Paused compute buildout deployments in all regions
    • Updated the configuration of all Storage scale units in Central US, restoring storage availability by 02:55 UTC
    • Started geo-failovers for SQL databases with automatic failover policies
    • Restarted SQL gateway nodes to refresh their caches and route connections to the right nodes
    • Forced completion of SQL failovers that had not completed
    • Failed over the Cosmos DB control plane and active-passive accounts with a write region in Central US
    • Cancelled customer-triggered graceful switch region operations that blocked Cosmos DB failovers
    • Removed locks on Cosmos DB service metadata to force-complete stuck failovers
    • Repaired impacted Cosmos DB partitions for single-region accounts
    • Repaired backend nodes and failed Cosmos DB accounts back to Central US, redoing failback where it failed
    Action items
    • Make the allow list generation workflow detect incomplete source information and halt
    • Alert on storage requests rejected by allow list checks
    • Deploy allow lists one Availability Zone and storage type at a time, over 24 hours
    • Add VM health checks and an automatic stop to the allow list deployment workflow
    • Reevaluate the policy for Microsoft-managed failover of SQL failover groups
    • Fix the Cosmos DB failback workflow that broke some MongoDB drivers for MongoDB API accounts
    • Fix Cosmos DB failback for accounts with private endpoints so it does not need redoing
    • Make the storage data-plane firewall reject invalid allow lists and keep the last-known-good state
    • Improve Azure NetApp Files monitors so impacting events are detected and classified in time
    • Monitor more Azure NetApp Files service metrics to correlate similar events faster
    • Make the SQL Service Fabric cluster location change notifications reliable under load
    • Make SQL geo-failover workflows more robust so they complete
    • Remove the issues that delayed 5% of Cosmos DB failovers
    • Migrate Azure DevOps customer metadata to the right geography
    • Decouple Azure NetApp Files regional reads and writes to keep this class of issue to one region
    • Evaluate caching to reduce Azure NetApp Files reliance on stored utilization data
    • Add automatic per-partition failover for Cosmos DB multi-region active-passive accounts
    • Build the Resilient Ephemeral OS disk improvement so VMs survive storage incidents better
  2. Symptoms

    From 9:37AM PST on February 28th, 2017, Amazon S3 in the Northern Virginia (US-EAST-1) Region could not serve requests. AWS services in the region that store data in S3 failed with it, including the S3 console, new Amazon EC2 instance launches, Amazon EBS volumes that needed data from an S3 snapshot, and AWS Lambda.

    Trigger

    While debugging an S3 billing system that was progressing more slowly than expected, an authorized S3 team member followed an established playbook to remove a small number of servers from one S3 subsystem used by the billing process, and entered one input of the command incorrectly.

    Root cause
    Component
    Contributing factor
    Remediation
    • Restarted the index subsystem, which served GET, LIST and DELETE again from 12:26PM PST
    • Restarted the placement subsystem after the index subsystem worked, restoring PUT by 1:54PM PST
    Action items
    • Change the capacity removal tool to remove capacity more slowly
    • Add safeguards that stop capacity removal when it would take a subsystem below its minimum required capacity
    • Audit other operational tools for similar safety checks
    • Improve the recovery time of key S3 subsystems and start the planned further partitioning of the index subsystem into cells now
    • Run the SHD administration console across multiple AWS regions
Check your cluster for this

These 2 cases involve Cloud block storage and Database. 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.

By root cause2