Why Your Monolith Is Probably Fine
In the era of hyper-scale architectures, the microservice pattern has become the default for many engineering teams. However, after a decade of building systems, I’ve realized that the rush to microservices often introduces more problems than it solves. The Cost of Distribution When you split a monolith, you trade in-process function calls for network boundaries. This introduces: Network Latency: What used to take nanoseconds now takes milliseconds. Failure Modes: You now have to handle partial failures, network partitions, and cascading timeouts. Observability Overhead: Tracing a request across 10 services requires significant investment in distributed tracing tooling. When to Actually Split A system should be broken apart not for technical vanity, but for organizational scaling or distinct resource requirements: ...