Cases2 cases

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1. IL-0517 Gitpod workspaces failed to start worldwide and lost data when CoreDNS lookups to 8.8.8.8 timed out in its clusters

   Gitpod2022

   Symptoms

   At around 5.44pm UTC on 25 January 2022, Gitpod saw a high error rate when pulling images from Google Container Registry (gcr.io), with the error "cannot get manifest". About 10 minutes later users reported that they could not start workspaces.

   Image pull failuresDNS resolution failuresService outageData loss

   Root cause

   DNS or network fault

   Component

   CoreDNSContainer registry and its credentialsObject storage

   Contributing factor

   Single point of failure

   Detection

   The team noticed a high error rate on image pulls from GCR at around 5.44pm UTC; about 10 minutes later users reported that workspaces would not start, and the on-call team started incident response.

   Remediation

   • Created new workspace clusters in the EU and the US with a werft job
   • Redirected traffic to the new clusters

   Action items

   • Keep workspace data on cloud provider persistent volumes that survive node and cluster failures
   • Let users download their files from a workspace that cannot be started
   • Improve the workspace backup process
   • Use three DNS servers instead of one: a GCP-internal one, 8.8.8.8 and Cloudflare's 1.1.1.1
   • Do more DNS resiliency work, tracked in an epic
   • Improve support for multi-region clusters and later go multi-cloud

   View case
2. IL-0196 Adding a second Redis replica and lowering memory limits in one RedisFailover change restarted the only Redis pod that held data, and Sentinel promoted the empty new replica, erasing the data

   Palark2020

   Symptoms

   Right after an updated RedisFailover resource was rolled out, the large Redis database lost all its data and the service went down; the data had to be restored from a backup taken just before the change.

   Data lossService outage

   Trigger

   A RedisFailover change that raised the number of Redis replicas from one to two and, in the same rollout, lowered the containers' memory requests and limits from 22 GB to 19 GB.

   Root cause

   Software defect

   Component

   DatabasePersistent volumes and stateful setsContainer memory limit

   Contributing factor

   No staged rolloutSingle point of failureUnverified assumption

   Remediation

   • restored the Redis data from the backup prepared before the rollout

   Action items

   • Report the readiness probe flaw to the Redis Operator project and test the developers' fix
   • Reconsider the use of the Spotahome Redis Operator
   • Clean up the Redis databases and fix the application code that created the excess keys
   • Consider Redis built-in clustering and sharding

   Lessons

   Changing the replica count and the pod resources in one rollout turned a seemingly harmless change into a rolling restart of the only pod with data while the new replica was still empty. A readiness probe that only checks that Redis answers a ping does not tell whether a replica has finished syncing. Operators for critical stateful components need to be evaluated for maturity before production use, and the dump.rdb file should be backed up before any change to the Redis cluster.

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