Incident Library
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Cases4 cases

1 to 4 of 4

  1. Symptoms

    From 15:22 US/Pacific on 16 May 2024, new VMs and other new instances across Google Cloud came up without network programming, so the new instances could not open network connections, and VMs that were migrated or restarted lost connectivity. Changes to virtual network configuration, such as firewall rules and load balancers, were not applied. Internal monitoring alerted Google engineers at 15:41.

    Trigger

    Google's infrastructure team ran a routine maintenance action meant to shut down one unused VPC Controller in a single Google Cloud zone, and the automation shut down VPC controllers in all zones where the controllers were still in use.

    Root cause
    Component
    Contributing factor
    Detection

    Internal monitoring alerts reached Google engineers at 15:41 US/Pacific, and the investigation started immediately.

    Remediation
    • Paused maintenance operations to prevent the shutdown from repeating
    • Brought the affected VPC Controllers back into a serving state in every zone
    • Stopped the automation responsible for the shutdown until safeguards are in place
    • Recovered partial Apigee proxy deployments by hand
    • Cleaned up VMs left behind by failed Dataproc cluster deletions
    Action items
    • Add safety measures that check that maintenance operations carry correctly scoped zone information
    • Make the underlying tools reject maintenance operations that do not specify zones
    • Tighten on-demand access control so one maintenance invocation cannot work across multiple zones
    • Add safety checks, testing and validation for maintenance operations, including positive and negative test cases for the new safety measures
  2. Symptoms

    On 5 October 2023 in us-central1, newly created VMs waited a long time before their networking worked, and VMs that had been live migrated lost connectivity for a long time after the migration. Networking telemetry showed cross-region packet loss to and from us-central1 from 03:08 US/Pacific. Health check state of VMs reached load balancers late.

    Trigger

    A management plane behaviour change, meant to decouple the processing of API updates to Instance Groups and Network Endpoint Groups used as load balancer backends, was deployed in us-central1 after rolling out to several other regions without incident.

    Root cause
    Component
    Contributing factor
    Detection

    Engineers were alerted to slowness in the virtual network control plane in us-central1 at 21:45 US/Pacific on 4 October, before the packet loss started, and to controller failures from memory exhaustion at 02:11 on 5 October. Networking telemetry showed cross-region packet loss from 03:08.

    Remediation
    • Increased the memory allocated to the virtual network router controllers
    • Rolled back the management plane change in us-central1
    • Restarted by hand the routers that were still not accepting updates
    Action items
    • Alert proactively on memory risks and unexpected memory increases
    • Refactor the deployment configuration so engineers can reallocate memory much faster
    • Re-evaluate existing practices and add safety mechanisms for API reconciliation
    • Make management plane changes more visible across teams so the changes can be correlated faster
    • Adjust the deployment footprint so a regional API change is less likely to exhaust memory across the region at once
    • Optimise memory use in the traffic routers and their controllers
  3. Symptoms

    From 05:26 UTC on 28 June 2022, some Azure customers saw intermittent network failures and packet loss when connecting to resources behind a Software Load Balancer (SLB). Telemetry showed a small increase in errors and customers raised support requests, but the failures were intermittent and were not linked to a recent deployment at first.

    Trigger

    A new SLB code deployment, rolled out through Safe Deployment Practices, made some MUX instances store the backend DIPs of load balancers with more than 15 DIPs in a different order.

    Root cause
    Component
    Contributing factor
    Detection

    Telemetry showed a small increase in errors and customers raised support requests, but the health checks of Safe Deployment Practices did not correlate these intermittent signals with the deployment until the code had reached 14 regions.

    Remediation
    • Mitigated the VIPs of customers identified as impacted with targeted manual operations
    • Built and tested a hotfix and rolled it out in phases under Safe Deployment Practices
    • Ran automation that scanned all VIPs every five minutes and fixed VIPs in an inconsistent state until the hotfix was out
    • Restored consistent ordering of the backend instances to the state before the incident
    Action items
    • Add Azure Firewall monitoring that detects when the upstream and downstream packets of one flow do not reach the same DIP
    • Keep the IPv6 flow identifier consistent for the lifetime of a connection so all its packets land on one MUX
    • Improve packet capture support for firewalls
    • Add logging of TCP flows, including invalid packets and RST, FIN and FIN-ACK packets
    • Onboard more Azure services to the Gandalf AIOps solution suite for end-to-end monitoring during safe deployments
    Lessons

    Microsoft wrote that the incident showed the need for more thorough end-to-end monitoring during safe deployments.

  4. Symptoms

    On Saturday, September 27, 2014 at 6:50 p.m. UTC, Mailgun saw that all its database replicas and the internal traffic between its environments in all regions were broken and reporting timeouts. Once Rackspace began rebooting cloud instances in its Chicago data center (ORD), Mailgun customers had intermittent connection failures.

    Trigger

    Rackspace, Mailgun's parent company and hosting provider, rebooted cloud instances in its Chicago data center (ORD), and the cloud maintenance triggered an error condition on Mailgun's F5 load balancers.

    Root cause
    Component
    Contributing factor
    –
    Detection

    Mailgun noticed at 6:50 p.m. UTC on September 27 that all database replicas and the internal traffic between its environments were broken and reporting timeouts.

    Remediation
    • The Rackspace networking team cleared the cached path MTU on Mailgun's F5s and on some Rackspace dedicated customers' F5s
    • Set up a new virtual IP for Mailgun services
    • Changed Mailgun's DNS settings, which forced the remote F5s to clear their caches
    Action items
    • Finish the root cause analysis of the F5 path MTU problem with Rackspace
    • Make sure maintenance of Mailgun's cloud infrastructure has no impact on Mailgun customers
Check your cluster for this

These 4 cases involve Cloud load balancer and Network control plane (SDN). 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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