Architecture

In the world of modern software development, the question isn’t whether you’ll need to scale—it’s when. If you’ve ever watched a monolithic application groan under increasing load, fought to deploy a single feature without breaking everything else, or felt trapped by technology choices made years ago, you’re not alone. Let’s explore how event-driven microservices in Go can solve these challenges and build systems that scale gracefully with your ambitions. The Pain of the Monolith Picture this: Your application has grown from a simple CRUD app to a complex beast handling users, notes, notifications, analytics, and more. Every deployment is a nail-biting experience because changing one module might break three others. Your database has become a bottleneck, and adding more servers doesn’t help because everything shares the same database connection pool. Different teams step on each other’s toes, and that cool new technology? Sorry, the entire stack is locked into decisions made in 2015. ...

Introduction Building robust distributed systems requires understanding fundamental patterns that solve common challenges like consensus, fault tolerance, request distribution, and asynchronous communication. This comprehensive guide uses visual diagrams to illustrate how these patterns work, making complex distributed systems concepts easier to understand and implement. We’ll explore: Raft Consensus Algorithm: How distributed systems agree on shared state Circuit Breaker Pattern: Preventing cascading failures in microservices Load Balancing Algorithms: Distributing traffic efficiently across servers Message Queue Patterns: Asynchronous communication strategies Part 1: Raft Consensus Algorithm The Raft consensus algorithm ensures that a cluster of servers maintains a consistent, replicated log even in the face of failures. It’s designed to be more understandable than Paxos while providing the same guarantees. ...

The API Dilemma: REST vs RPC? For years, teams have debated REST vs RPC as if they were mutually exclusive choices. The truth? You need both. Modern applications benefit from a two-tier API strategy that leverages REST for external clients and RPC for internal services. This isn’t about choosing sides—it’s about using the right tool for each job. Understanding the Two Tiers Tier 1: REST for External APIs (The Public Face) Use REST when: ...