Incident Library
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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

    A user of the LIS JupyterHub reported a "backoff after failed scale-up" error, and user servers would not start. An engineer opened incident #36, "LIS hub cannot scale", at 5:40 AM Pacific on 14 November 2022.

    Trigger

    At 10 AM UK time on 14 November 2022, the B zone of Google Cloud's europe-west2 region (London) ran out of resources to allocate. The LIS cluster's nodes were restricted to that zone.

    Root cause
    Component
    Contributing factor
    Detection

    A user reported the "backoff after failed scale-up" error; an engineer opened the incident at 5:40 AM Pacific, about three hours and forty minutes after the zone ran out of resources.

    Remediation
    • edited the node pool in the GCP console to allow node creation in the A and C zones of europe-west2, which were not exhausted
    Action items
    • Either restrict the node pool back to the B zone after the Black Friday event, or move the cluster and the NFS Filestore to the A zone (infrastructure issue #1944)
    • Investigate an enterprise plan that allows a regional NFS, at higher cost (infrastructure issue #1945)
    • Make sure PagerDuty notifications always get through to engineers (team-compass issue #574)
    Lessons

    A node pool pinned to one zone for storage performance cannot scale when the cloud provider runs out of capacity in that zone. The autoscaler's "backoff after failed scale-up" message usually points to quotas, and raising quotas does nothing here; the ZONE_RESOURCE_POOL_EXHAUSTED error in the logs is what identifies a zone without capacity. The review found that one engineer wearing many hats (incident commander, comms and debugging), with pages not reaching the other responders, made the response harder; a team response would have given more support.

Check your cluster for this

These 2 cases involve AKS control plane and Cluster autoscaler. 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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