A practical guide to AI agent concurrency control: per-record locking, tenant limits, worker pools, queue boundaries, and the rules that stop parallel runs from duplicating work or corrupting state.

A practical guide to AI agent backpressure: how to prevent overloaded tools, worker pileups, queue explosions, and cascading failures when production workflows outrun system capacity.