Infrastructure as Code for AI: Terraform Patterns for LLM Deployments Expert Guide to Managing AI Infrastructure with Terraform I’ve managed AI infrastructure across AWS, Azure, and GCP using Terraform. Infrastructure as Code isn’t just about automation—it’s about reproducibility, version control, and managing complex AI deployments consistently. When you’re deploying LLM services, vector databases, and GPU […]
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Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
📖 Part 5 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 4Part 6 → With RAG-enhanced agents from Part 4, we now deploy multi-agent systems to production using Kubernetes. ℹ️ INFO Single-agent systems are straightforward to deploy. […]
Read more →Beyond Chatbots: Why Agentic AI Is the Most Transformative Technology Shift Since the Cloud
We’ve reached an inflection point in artificial intelligence that most organizations haven’t fully grasped yet. While the world obsesses over chatbots and prompt engineering, a more profound shift is quietly reshaping how software systems operate. Agentic AI—autonomous systems capable of reasoning, planning, and executing multi-step tasks without constant human intervention—represents the most significant architectural transformation […]
Read more →MLOps vs LLMOps: A Complete Guide to Operationalizing AI at Enterprise Scale
Understand the critical differences between MLOps and LLMOps. Learn prompt management, evaluation pipelines, cost tracking, and CI/CD patterns for LLM applications in production.
Read more →Enterprise GenAI: Taking AI Applications from Prototype to Production at Scale
Deploy GenAI at enterprise scale. Learn model routing, observability, security patterns, cost management, and what the future holds for AI in production.
Read more →Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me
When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? After two years of production deployments across financial services, healthcare, and retail, I’ve learned what actually matters when building enterprise AI applications. AWS Bedrock Enterprise Architecture The Foundation Model Landscape Has Matured The most significant evolution […]
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