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  • Root cause
  • Component
  • Symptom
  • Contributing factor
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  1. Symptoms

    On 29 January 2026 AssemblyAI's Async Transcription API and LLM Gateway on the NA API endpoints went down for 25 minutes, returning 500 errors, and then ran degraded for two hours. The status page first reported the investigation at 17:54 UTC.

    Trigger

    An influx of batch transcription jobs higher than usual made autoscaling add workers until spot instances ran out, on-demand instances were used, and the AWS Elastic Network Interface limit was reached.

    Root cause
    Component
    Contributing factor
    Remediation
    • Worked through the backlog of requests until turnaround times were back to normal
    Action items
    • Add alerts on ENI utilisation
    • Run the authentication service on dedicated capacity, separate from batch workers
    • Fix the Lambda function that rate-limited the AWS API during recovery
    • Run everything in multiple regions
    Lessons

    AssemblyAI calls the outage preventable: ENI utilisation was not monitored, and because the authentication service shared resources with batch workers, a traffic spike in one starved the other. The warning signs were there but were not connected, and a tool built for recovery ended up blocking recovery.

Check your cluster for this

This case involves Amazon ECS. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

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