Software architecture patterns and system design for production. Event-driven systems, microservices, message queues, CQRS, and the trade-offs behind every major design decision.
6 articles
CQRS separates read and write models for independent optimization. Event Sourcing stores every state change as an immutable event. Learn when each pattern solves real problems, with TypeScript implementations, projection examples, and event store comparisons.
Compare the four main rate limiting algorithms -- Token Bucket, Leaky Bucket, Sliding Window Log, and Fixed Window Counter. Includes Redis Lua implementations, nginx configuration, distributed rate limiting patterns, and managed service pricing.
REST for public APIs, GraphQL for complex frontends, gRPC for service-to-service. Learn when to use each API design pattern, with comparisons of error handling, versioning, authentication, and managed gateway pricing.
The microservices vs monolith decision depends on team size, deployment needs, and organizational structure. Learn the five-question decision framework, the Strangler Fig migration pattern, and why most teams should start with a well-structured monolith.
The CAP theorem forces a trade-off between consistency and availability during network partitions. Learn how PostgreSQL, Cassandra, DynamoDB, and other databases handle this trade-off, plus the PACELC extension that captures what CAP misses.
Event-driven architecture decouples services through message brokers like Kafka, RabbitMQ, and SNS/SQS. Learn when EDA is the right choice, how to implement it, and the patterns that make it work in production.
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