Build offline-first PWAs with Service Workers and edge caching. Production patterns, TypeScript examples, and optimization for variable connectivity.
PostgreSQL pgvector: Production Indexing and Scaling
Master pgvector indexing strategies, HNSW vs IVFFlat tradeoffs, and optimize vector search performance for production AI applications.
Redis Streams and Node.js: Building Real-Time Data Pipelines with Consumer Groups
Learn how to build resilient real-time data pipelines with Redis Streams and Node.js. Covers consumer groups, at-least-once delivery, dead-letter handling, and production scaling patterns.
Type-Safe API Clients in TypeScript: Code Generation & Validation
Learn code generation, runtime validation, and end-to-end type safety patterns for TypeScript API clients in microservices. Tools, examples, and CI/CD strategies.
Multi-Region Kubernetes on Azure: Global Failover Guide
Deploy Kubernetes across Azure regions with traffic management, data consistency patterns, and disaster recovery strategies. Practical YAML and CLI examples.
Secure CI/CD Pipelines with GitHub Actions and Docker
Build production-grade CI/CD pipelines using GitHub Actions and Docker. Multi-stage builds, secret management, and deployment automation for enterprise apps.
Next.js 15 Performance: Streaming, ISR, and Edge Caching
Master server-rendered React with Next.js 15. Learn streaming, ISR, edge caching, and production patterns for global scale and optimal Web Vitals.
FastAPI Async APIs: Connection Pooling & Performance
Learn async/await patterns, database connection pooling, and production optimization techniques for building high-performance FastAPI applications.
Deploy AI Agents at Scale: Docker and Kubernetes Production Patterns
Containerize and orchestrate AI agents with Docker and Kubernetes. Learn production patterns for stateful agents, lifecycle management, tool isolation, and scaling.
GraphQL Performance and Security at Scale: Batching, Caching, and Query Limits
Optimize GraphQL APIs with DataLoader batching, field-level caching, and query complexity limits. Prevent N+1 queries and DoS attacks in production.