Cases2 cases

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1. IL-0529 New Google Cloud VMs and other instances came up without network connectivity in all zones after VPC controllers stopped

   Google Cloud2024

   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.

   Network unreachablePacket lossCluster or node provisioning stallScale-up failureHigh error rate

   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

   Software defect

   Component

   Network control plane (SDN)Cloud load balancerNAT gateway

   Contributing factor

   Change with a delayed effectIgnored early signalNo safeguard on destructive changeExcessive blast radius

   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

   View case
2. IL-0530 Virtual router controllers in us-central1 ran out of memory in a loop, cutting networking for new and migrated VMs

   Google Cloud2023

   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.

   Packet lossNetwork unreachableOOMKilledStale endpoint routingCluster or node provisioning stall

   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

   Faulty deployment

   Component

   Network control plane (SDN)Cloud load balancer

   Contributing factor

   Excessive blast radiusNo alert on limit

   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

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