AI Integration Patterns: 5 Proven Architectures for Production
Implemented 5 AI integration patterns - API wrapper, streaming, batch, RAG, agent. Serving 1M requests/day across all patterns
🏷️ production
15 posts
Production AI Agents: Lessons from Running 10 Agents at Scale
Deployed 10 AI agents serving 100K users/day - monitoring, error handling, cost optimization, and scaling strategies that actually work
AI Cost Optimization in 2025: Reducing LLM Costs by 80%
Comprehensive guide to reducing AI costs - caching, prompt optimization, model selection, and hybrid approaches. Cut our monthly bill from $50K to $10K
AI Content Moderation: Building a Safe Community Platform
Built AI-powered content moderation system - 99.5% accuracy, <100ms latency. Reduced manual moderation by 90%
AI Agent Memory Systems: Building Agents That Remember
Implementing persistent memory for AI agents - short-term, long-term, and episodic memory. Improved task completion from 70% to 95%
Enterprise AI Strategy: From Pilot to Production at Scale
Complete guide to enterprise AI adoption - governance, security, ROI measurement, and scaling. Deployed AI across 5000-person organization
Building AI-Powered Customer Support: From 24-Hour Response to Real-Time
Implemented AI customer support handling 10K tickets/day - reduced response time from 24h to 30s, 85% automation rate, $500K annual savings
Building Production AI Agents: From Concept to Deployment
Complete guide to building AI agents - architecture, tools, memory, error handling, and deployment. Built 5 agents serving 50K users/day
LangChain in Production: Building Reliable AI Applications at Scale
Production-ready LangChain implementation - error handling, monitoring, cost optimization, and scaling strategies from running LangChain apps serving 100K+ requests/day
Docker Compose Production Patterns - Beyond Development
Advanced Docker Compose patterns for production deployments, including health checks, secrets management, and high availability configurations.
Kubernetes Production Deployment - Lessons from Managing 50+ Microservices
Real-world lessons from deploying and managing 50+ microservices on Kubernetes, including scaling, monitoring, and disaster recovery.
Deploying Machine Learning Models to Production with FastAPI
Deployed ML model to production - 1000 predictions/s, <100ms latency, auto-scaling. Serving 1M predictions/day
Kubernetes 1.18: New Features and Production Lessons
Upgraded to Kubernetes 1.18 - kubectl debug, topology-aware routing, ingress improvements. Reduced debugging time by 60%
Kubernetes in Production: 6 Months Later
Lessons learned from running Kubernetes in production for 6 months - the good, the bad, and the ugly.
Debugging a Production Java Memory Leak at 2 AM
War story: How I tracked down and fixed a memory leak in production using heap dumps and MAT.