Cases9 cases

4 to 8 of 9

1. IL-0141 gke-metadata-server versions 0.4.272 to 0.4.280 flooded Cloud Logging with "Unable to sync sandbox" debug logs on GKE clusters with Workload Identity, using up logging quota and adding billable usage

   Google Cloud2023

   Symptoms

   Google Kubernetes Engine (GKE) customers with Workload Identity enabled saw a high logging rate. Debug log lines containing the string "Unable to sync sandbox" were ingested into Cloud Logging, used up the Cloud Logging ingestion quota and, beyond the free monthly allotment, produced extra billable usage. Workload Identity is opt-in on GKE Standard and always enabled on GKE Autopilot.

   Log floodHigh latency

   Trigger

   GKE clusters ran gke-metadata-server versions 0.4.272 to 0.4.280, which contained an incorrect configuration that wrote "Unable to sync sandbox" debug logs at a high rate.

   Root cause

   Software defect

   Component

   Credential broker for pods

   Contributing factor

   –

   Detection

   The first status update was posted at 13:32 US/Pacific on 2023-11-02, and the updates told customers how to check a cluster from the version annotation on the gke-metadata-server DaemonSet.

   Remediation

   • rolled out a fix across the GKE fleet so the excess logs were no longer ingested into Cloud Logging
   • offered GKE Rapid channel customers a control plane upgrade to 1.28.2-gke.1157000 or above, or 1.27.7-gke.1038000 or above, as a workaround

   View case
2. IL-0142 GKE clusters on 1.24 and later wrote unexpected fluentbit error entries such as "Failed to get record: decoder: failed to decode payload: EOF" that used up the Logging API write quota for some customers

   Google Cloud2023

   Symptoms

   From 07:13 US/Pacific on 6 July 2023, GKE customers saw unexpected additional error and warning entries in their cluster logs, written to the Cloud Logging project that holds the clusters. Standard and Autopilot clusters at GKE 1.24.x and later were affected.

   Log flood

   Trigger

   Google rolled out a new version of the GKE component that processes logs (preliminary analysis).

   Root cause

   Faulty deployment

   Component

   Telemetry agent

   Contributing factor

   –

   Remediation

   • gave customers a workaround: request a Logging API quota increase, or apply a log exclusion for the fluentbit-gke messages
   • rolled out a fix gradually to the affected clusters between 10 and 18 July 2023

   Lessons

   Log messages written by a managed logging agent count against the customer's own Logging API write quota and logging bill, so a faulty agent release can drop a customer's other logs. A log exclusion on the agent's container name and the message patterns keeps the noise out of storage until a fix arrives.

   View case
3. IL-0139 Pods on GKE clusters with Calico network policy got stuck Terminating or Pending after upgrading to 1.22 or later because of a race condition in the Calico component

   Google Cloud2022

   Symptoms

   After upgrading to GKE 1.22 or later, clusters that use Calico network policy could have pods stuck in Terminating or Pending. Google Cloud posted the incident at 16:01 US/Pacific on 2022-09-15 as pods stuck terminating; from the 2022-09-21 update the description also named pods stuck Pending.

   Pods stuck in TerminatingPods Pending

   Trigger

   Upgrading a GKE cluster that uses Calico network policy to version 1.22 or later.

   Root cause

   Software defect

   Component

   CalicokubeletPod termination

   Contributing factor

   –

   Remediation

   • released a fix in GKE 1.24.4-gke.800 and made it available in 1.23 and 1.22
   • offered an internal patch through Google Cloud Support for affected customers
   • advised customers to restart the kubelet and calico-node to get stuck pods unstuck
   • advised customers without a strong need for Calico to disable Calico network policy

   Action items

   • Upgrade clusters on the Rapid, Regular and Stable release channels running 1.22 or 1.23 to the fixed version automatically

   Lessons

   A race in the Calico component can leave pods stuck Terminating, with FailedKillPod and KillPodSandbox errors that point at the network plugin, not at the workload. Restarting the kubelet and calico-node frees the stuck pods but does not remove the race; the fixed GKE version or Google's internal patch does. Clusters that use the cluster autoscaler are more likely to hit it.

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4. IL-0140 The GKE API in us-central1 returned errors and high latency for 3 hours 19 minutes after an unexpected rise in backend traffic that client retries made worse

   Google Cloud2022

   Symptoms

   From 03:03 US/Pacific on 14 June 2022, calls to the GKE API in us-central1 through gcloud and the Google Cloud Console were slow and returned errors. Retrying sometimes succeeded.

   High error rateHigh latencyControl plane lag

   Trigger

   An unexpected increase in backend traffic to the GKE API in us-central1.

   Root cause

   Capacity exhaustion

   Component

   GKE control plane

   Contributing factor

   Retry storm

   Remediation

   • scaled up the GKE control plane to handle the increased traffic

   Lessons

   Client retries against an overloaded management API add to the overload. When the cloud provider's control plane is degraded, running workloads may be fine while cluster operations fail, and the status page offered no workaround beyond advising customers to use another region if they could.

   View case
5. IL-0132 A faulty resource cleanup process marked Vertex AI prediction endpoints as deleted worldwide, undeploying customers' models and failing predictions for 4 hours 20 minutes

   Google Cloud2022

   Symptoms

   From 10:10 US/Pacific on 2 June 2022, Vertex AI Online Prediction returned errors for 30% up to 100% of requests per region, depending on how each customer used the service.

   High error rateResources deletedService outage

   Trigger

   A faulty resource cleanup process marked Vertex Prediction Endpoints as deleted, globally.

   Root cause

   Software defect

   Component

   Model request routing

   Contributing factor

   Automation amplificationExcessive blast radius

   Detection

   The first public status update was posted at 13:58 US/Pacific and gave the start as 10:20 US/Pacific; the later mini incident report gives 10:10.

   Remediation

   • restored the Vertex Prediction Endpoints that had been marked as deleted

   View case

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