Message Queues: When and How to Use Them

Your API is slow because it’s doing too much synchronously. Here’s when to reach for a message queue, and how to implement it without overcomplicating everything. When You Need a Queue Signs you need async processing: API response time dominated by side effects (emails, webhooks, analytics) Downstream service failures cascade to user-facing errors Traffic spikes overwhelm dependent services You need to retry failed operations automatically Work needs to happen on a schedule or with delay Signs you don’t: ...

March 11, 2026 · 6 min · 1114 words · Rob Washington

Message Queues: Decoupling Services for Scale and Reliability

When Service A needs to tell Service B something happened, the simplest approach is a direct HTTP call. But what happens when Service B is slow? Or down? Or overwhelmed? Message queues decouple your services, letting them communicate reliably even when things go wrong. Why Queues? Without a queue: U s e r R e q u e s t → A P I → P ( ( a i i y f f m e s d n l o t o w w n S , , e r u r v s e i e q c r u e e w s → a t i E t f m s a a ) i i l l s ) S e r v i c e → R e s p o n s e With a queue: ...

February 11, 2026 · 8 min · 1508 words · Rob Washington