The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short

Agentic AI generates an internally-driven thundering herd problem where parallel agent execution creates synchronized database load, so traditional fixes fall short. Testing showed a non-linear saturation point between 700 and 1,000 concurrent agents, with PostgreSQL dropping to roughly 57 operations per second at 5,000 agents versus CockroachDB sustaining about 130 ops/sec. The three failure patterns are write convergence, correlated cache expiry, and multi-step retry storms.