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Postmortem: August 28, 2025 - elevated API latency and errors
Alex Ntousias, Agis Anastasopoulos · 2025-08-28 · via Clerk Blog

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On August 28, 2025, a credential stuffing attack caused elevated API latency and errors. This postmortem details the impact, root cause, and remediations.

On August 28, two short periods of a distributed credential stuffing attack to our authentication endpoints of a specific tenant, led to elevated latency across the Frontend and Backend APIs and elevated errors in the Backend API.

Services remained partially available while we mitigated load and stabilized the underlying infrastructure. Importantly, our mitigation controls kept session token issuance operating normally throughout the incident.

  • Impact window #1: 14:53–15:15 UTC (≈22 minutes)
  • Impact window #2: 17:04–17:16 UTC (≈12 minutes)

Timeline (UTC)

  • 14:53 — Alert triggered for high CPU utilization in the storage layer; elevated API latency observed.
  • 15:00 — Incident declared; mitigation initiated.
  • 15:15 — Metrics returned to baseline.
  • 17:04 — Second spike in CPU and API latency detected.
  • 17:16 — Metrics returned to baseline.

Root Cause Analysis

Investigation points to several compounding contributors in the authentication and data-write path:

  1. Automated traffic targeting authentication flows generated an unusually high volume of sign-in and sign-up attempts.
  2. Write-intensive activity from those attempts increased contention on hot authentication-related tables.
  3. A recently introduced CDC consumer (used for near real-time consumption of auth events) lagged under burst conditions, amplifying contention within a segment of the storage tier.

Observed error rates during the incident windows: 2.52% of Backend API requests and 0.14% of Frontend API requests returned errors.

There was no data loss or corruption. The impact was limited to increased latency and errors.

Remediations

  • We disabled the lagging change-stream processor pending adjustments.
  • We are strengthening adaptive protections at the edge and auth layer (rate limiting, anomaly detection, and upstream filtering).
  • We are performing schema and query-path improvements on authentication workloads to reduce contention under spikes.
  • We will be further strengthening per-customer isolation to contain issues to the originating application and minimize blast radius.