You took a perfectly functional monolith — one repo, one deploy, one database, one place to look when things break — and split it into 47 services that all depend on each other, communicate through a message bus that nobody fully understands, and require a PhD in distributed systems to debug. Congratulations. You've invented a distributed monolith with extra network latency. The CTO is thrilled because the architecture diagram looks impressive in board meetings.
Let's talk about what you actually gained. Can you deploy services independently? Technically yes. In practice, Service A depends on Service B's API contract, which depends on Service C's event schema, so you end up deploying all three together anyway, plus running integration tests that take 45 minutes. Your "independent deployments" are actually coordinated releases with extra steps. You didn't decouple anything. You just moved the coupling from function calls to HTTP requests, which is objectively worse because now it can fail in new and exciting ways.
The observability story is my favorite part. In the monolith, you had stack traces. Beautiful, linear, "here's exactly what happened" stack traces. Now you have distributed traces across 12 services, and your Jaeger dashboard looks like a conspiracy theory wall with red string connecting everything. When something fails, you open five terminal tabs, grep through six different log streams, and pray that the correlation IDs actually made it through all the hops. Someone always forgets to propagate the correlation ID.
Look, microservices have their place. If you have genuinely independent domains, separate teams that need to deploy on different schedules, and actual scaling requirements that differ by service — go for it. But if you're a 15-person startup with one team and you just split your app into microservices because a conference talk told you to, you don't have a microservices architecture. You have a skill issue wrapped in Kubernetes. The monolith was fine. It was always fine.