Session all In Development ⏱ 45 min

Idempotency, Exactly‑Once, and Other Lies We Tell Ourselves

Distributed systems don’t behave the way the docs say they do. We’re told we have “exactly‑once delivery,” “guaranteed processing,” and “idempotent handlers,” but the moment a region fails over, a consumer crashes mid‑write, or an operator hits “retry,” those guarantees evaporate. This session cuts through the marketing and shows what really happens inside queues, event buses, and serverless runtimes when the world gets messy.

Distributed systems don’t behave the way the docs say they do. We’re told we have “exactly‑once delivery,” “guaranteed processing,” and “idempotent handlers,” but the moment a region fails over, a consumer crashes mid‑write, or an operator hits “retry,” those guarantees evaporate. This session cuts through the marketing and shows what really happens inside queues, event buses, and serverless runtimes when the world gets messy.

Across 90 minutes, we’ll break down the illusions teams rely on, demonstrate why duplicates and partial failures are inevitable, and walk through the idempotency patterns that actually hold up under stress. You’ll see how to design workflows that remain correct when messages replay, how to prevent corruption when state transitions collide, and how to recover safely when the system has already gone sideways.

A live demo will push a real system into duplicate‑event chaos, then rebuild it using the patterns discussed, proving that failure is survivable when you design for reality instead of promises. Attendees leave with a mental model and a set of architectures that make distributed systems durable, debuggable, and honest.

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