A voice AI service experienced significant outages when a new partner's higher-than-anticipated call volume pushed concurrent calls to around 200. The system, which relies on persistent connections for STT, TTS, model interaction, and database state, failed due to an undersized PostgreSQL connection pool. This bottleneck caused calls to hang or drop mid-sentence, as blocked database requests prevented other processes from advancing. The fix involved increasing the connection pool size and implementing an explicit concurrency gate to manage resource allocation. AI
IMPACT Highlights the critical need for robust infrastructure scaling and connection management in real-time AI applications.
RANK_REASON Technical post-mortem detailing infrastructure failure in an AI-adjacent service.
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