grep "#architecture" posts/*
11 results
Why WebSockets Aren't Always the Best Choice for Real-Time Communication
The hidden costs of WebSockets — persistent connections, scaling nightmares, server bills, and when simpler alternatives like SSE or polling actually win.
Engineering Trade-Offs Every Backend Engineer Must Understand
The fundamental trade-offs in backend engineering — consistency vs availability, latency vs throughput, simplicity vs flexibility, and how to navigate them.
Designing Systems That Survive Production Traffic
Patterns for building systems that handle real-world traffic — load shedding, circuit breaking, graceful degradation, and capacity planning.
What 4+ Years of Backend Engineering Taught Me About System Design
Hard-won system design principles from building production systems — on complexity, trade-offs, data modeling, and the decisions that actually matter.
Building Scalable Go APIs with Clean Architecture
How I structure Go API services for maintainability and scale — handler/service/repo layers, dependency injection, and practical project layout.
Production Patterns for Event-Driven Systems in Go
Battle-tested patterns for running event-driven Go systems in production — transactional outbox, consumer groups, event replay, and schema evolution.
Building Resilient Workers in Go for Queue-Based Architectures
Patterns for building Go workers that consume from message queues reliably — graceful shutdown, health checks, backpressure, and poison message handling.
Handling Partial Failures in Distributed Go Systems
Strategies for dealing with partial failures in Go — circuit breakers, retry budgets, fallbacks, and the Saga pattern for distributed transactions.
Reliable Background Jobs in Go: Retries, Dead Letters, and Idempotency
Building production-grade background job processing in Go with exponential backoff, dead-letter queues, and idempotent handlers.
Lessons from Building Event-Driven Microservices in Go
Practical lessons on event schemas, eventual consistency, idempotent consumers, and the realities of building event-driven systems in Go.
Designing a Distributed Task Queue in Go from Scratch
How I built a distributed task queue in Go with priority scheduling, retries, dead-letter queues, and horizontal scaling.