Cases2 cases

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1. IL-0322 A GCP storage incident degraded the disk under GitLab.com's primary PostgreSQL and caused two bursts of site-wide 503s

   GitLab2026sev1

   Symptoms

   On 2026-06-11 https://gitlab.com returned widespread, intermittent HTTP 503 errors across all major services in two bursts of about 5 to 10 minutes, 06:16 to 06:22 UTC and 07:03 to 07:12 UTC. A Pingdom alert reported the first burst in triage at 06:16:12, about four minutes after impact began at 06:12, and each burst ended on its own.

   Service outageIntermittent timeoutsConnection pool exhaustionLock contention or deadlockReplication lag

   Trigger

   A GCP storage incident degraded the IO of a disk in the `us-east1-b` zone that backed GitLab.com's primary PostgreSQL node.

   Root cause

   Cloud provider outage

   Component

   DatabaseCloud block storage

   Contributing factor

   Single point of failureNo alert on limitNo runbook

   Detection

   A Pingdom alert on the user-facing 503 errors was reported in triage at 06:16:12 UTC. No alert existed for disk IO saturation, pgBouncer pool saturation or LWLock contention.

   Remediation

   • Escalated to Database Operations experts
   • Paused deployments
   • Opened a GCP support case and engaged the GCP TAM, and GCP confirmed the storage incident
   • Prepared a Patroni primary switchover to node 04 in us-east1-d as a contingency, without executing it
   • Held a 3-hour pause-and-review window and resolved the incident after no recurrence

   Action items

   • Add disk IO saturation and queue-depth alerting for primary Patroni database nodes
   • Write a Patroni primary switchover runbook with explicit trigger thresholds
   • Clarify incident state-transition guidance for intermittent, self-resolving issues
   • Decide whether the primary should fail over automatically during disk IO degradation
   • Find a short-term mitigation that limits the blast radius of a single degraded disk until Cells do so
   • Make application database load balancing fail fast or reroute when the primary stops responding
   • Consider alerting on pgBouncer pool saturation and LWLock contention as leading indicators

   Lessons

   A single degraded disk was enough to take down GitLab.com because all primary database traffic goes through one node and requests waited for the Rack timeout instead of failing fast. The leading indicators, disk IO queue depth, pgBouncer pool saturation and LWLock contention, rose before full impact but had no alerts. Without decision criteria for a switchover, responders spent much of an intermittent incident waiting, and it was hard to decide when to move the incident to Fixing or Monitoring.

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2. IL-0318 Clerk's APIs went down with lock contention and 429s while a Google Cloud SQL live migration slowed its database disk

   Clerk2026

   Symptoms

   At 15:57 UTC on 10 March 2026, Clerk's alerting reported increased latency and elevated 5xx errors across its APIs, and the incident was declared. Monitoring showed increased lock contention in the database, which had started about a minute earlier.

   High latencyHigh error rateLock contention or deadlockService outage

   Trigger

   A routine live migration of the Google Cloud SQL virtual machine that hosts Clerk's Postgres database, done without advance notice to Clerk, did not work as intended.

   Root cause

   Cloud provider outage

   Component

   Database

   Contributing factor

   Limited debug access

   Detection

   Alerting reported increased latency and elevated 5xx errors across the APIs at 15:57 UTC, and monitoring showed lock contention in the database that had begun about a minute earlier.

   Remediation

   • Enabled Origin Outage Mode to keep session management working
   • Opened a ticket with GCP after seeing elevated IO wait on reads
   • Disabled Origin Outage Mode after the live migration completed and the system stabilised

   Action items

   • Ask Google to pin the database again to stop further live migrations
   • Use replica promotion instead of live migrations for all Postgres database maintenance
   • Move to another database provider or run Postgres in-house unless Google offers a way to disable live migrations permanently
   • Return 500 instead of the internal service's 429 so applications can tell the state of Clerk's systems from the error code
   • Shift most of the engineering team to reliability-focused projects

   Lessons

   Clerk concludes that Cloud SQL live migrations are still unsafe after months of joint work with Google, and that they are opaque, leaving Clerk to trust Google's word. Clerk prefers traditional replica promotion for all Postgres maintenance, an automated process it had already used without incident for a Postgres major version upgrade on January 17, 2026.

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