Idempotency Keys in Distributed Go Services
Distributed systems are fundamentally unreliable. Networks drop packets, services restart mid-request, clients retry on timeout, and load balancers reroute connections. The standard response to this reality is to design every state-modifying operation to be idempotent — safe to call multiple times with the same result as calling it once. Idempotency keys are the primary tool for achieving this at the API level. The Core Problem Consider a client that sends a POST request to create a campaign. The server receives the request, creates the campaign, and then a network failure prevents the response from reaching the client. The client, having received no response, retries the request. Without idempotency, the server creates a second campaign. Now you have two identical campaigns — a data integrity problem that is difficult to detect and painful to clean up. We manage campaigns for thousands of advertisers. A double-creation bug is not just a data integrity issue — it is a budget issu...