Microservices Architecture: From Monolith to Production-Ready Services
When to decompose a monolith, how to define boundaries, and the patterns that work: API gateways, sagas, and event-driven comms.
Microservice decomposition, communication patterns, and organisational design.
When to decompose a monolith, how to define boundaries, and the patterns that work: API gateways, sagas, and event-driven comms.
Master context.Context in Go: cancellation propagation, deadline inheritance, goroutine leak patterns, and debugging with pprof.
An honest Go (Gin) vs. Java (Spring Boot) comparison for backend services in 2026: memory behavior, cold starts, GC pauses, and cost math — built on documented runtime behavior plus a copy-paste benchmark harness, not unverifiable numbers.
Reliable event-driven Go beyond connecting to Kafka: handling partial failures, duplicates, and distributed transactions safely.
REST, gRPC, and GraphQL solve different client problems. A decision guide for when each one wins, and what running all three side by side costs.
thenCompose vs thenApply, running calls in parallel with allOf, timeouts, executor selection, and production error handling.
gRPC and Protobuf: binary serialization, unary and streaming RPCs, Go implementation, and when to choose gRPC over REST.