The first time an AI feature I shipped went down in production, nothing in my code had changed. The model provider had a bad afternoon: a wave of 429 Too Many Requests, then a stretch of 503s, and eve
The first time a healthy gRPC service took down a dependent API I was on call for, the root cause was almost insulting: a rolling deployment closed a few connections for two seconds, and every in-flig
Distributed systems fail - not in dramatic, total collapses, but in slow, cascading ways. One upstream dependency gets slow. Its callers back up. Their thread pools fill. And before long, an outage in
Every distributed system eventually faces the same failure mode: one slow or unavailable dependency pulls the entire application down with it. Threads pile up waiting for responses that never come, co
When a single slow downstream dependency can take your entire API offline, you have a cascade failure problem - and the Bulkhead Pattern is one of the most effective architectural tools for preventing
Every production API eventually encounters an endpoint that takes too long. A downstream service hangs, a database query blocks, or a third-party call stalls — and suddenly your thread pool is exhaust
