
Caching Strategies Every Developer Should Know (With Examples)
A practical guide to caching techniques including Redis, CDN caching, database caching, and application-level strategies.
Software architecture patterns and system design for production. Event-driven systems, microservices, message queues, CQRS, and the trade-offs behind every major design decision.
15 articles

A practical guide to caching techniques including Redis, CDN caching, database caching, and application-level strategies.

Go from 800 to 15,000+ requests/second with clustering, Fastify, connection pooling, Redis caching, and event loop optimization. Real benchmarks included.

A practical playbook for scaling Next.js apps to 100k users using ISR, multi-layer caching, CDN optimization, and backend tuning -- all for under $500/month.

A developer-focused comparison of Redis, Kafka, and RabbitMQ. Covers architecture, performance, use cases, and decision-making guidelines with real-world scenarios.

An in-depth exploration of whether a single VPS can support 100k users. Includes system design, caching strategies, database optimization, CDN usage, and bottleneck analysis with real examples.

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.
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