How to Design for High Availability
Build highly available systems with proven patterns. Learn redundancy, failover, load balancing, health checks, and disaster recovery strategies for production apps.
Build highly available systems with proven patterns. Learn redundancy, failover, load balancing, health checks, and disaster recovery strategies for production apps.
Learn how to implement circuit breaker patterns in Node.js, Python, and Java. Prevent cascading failures with proper state management, threshold tuning, and fallback strategies.
Master saga patterns for distributed transactions. Learn choreography vs orchestration, compensation design, state management, and recovery strategies with real implementations.
Build scalable notification systems that handle millions of messages across email, SMS, push, and in-app channels. Learn queue architecture, rate limiting, and delivery tracking.
Master API rate limiting with token bucket, leaky bucket, and sliding window algorithms. Learn distributed rate limiting with Redis and multi-tier limit enforcement.
Build reliable job queue systems that process millions of tasks. Learn queue architecture, retry strategies, priority handling, idempotency, and worker pool management with Redis.
Master essential microservices patterns: API Gateway, Circuit Breaker, Saga, CQRS, and more. Production-tested implementations with code examples for resilient distributed systems.
Complete guide to implementing CQRS in Node.js: command/query separation, event-driven projections, event sourcing, read models, caching strategies, and production patterns.
Learn when to choose microservices vs monolith architecture. Decision framework with team size thresholds, cost analysis, and migration patterns for real production systems.