AI x DevOps with Sanjeev Ganjihal - AWS Solutions Architect
SRE evolution, MCP, multi-LLM workflows, and the future of AIOps with AWS Container Specialist and Kubernetes expert
Podcast Summary
Join Rohit Raveendran as he sits down with Sanjeev Ganjihal, Senior Container Specialist at AWS and one of the first 100 Kubernetes certified professionals globally. This deep dive conversation explores the transformative shift from traditional DevOps to AI-powered operations and what it means for the future of infrastructure management.
Evolution of DevOps and SRE
Explore Sanjeev's unique journey from being an early Kubernetes adopter in 2017 to becoming a specialist in AI/ML operations at AWS. Discover how the industry has evolved from manual operations to automated, intelligent infrastructure management and what this means for traditional SRE roles.
Multi-LLM Strategies in Practice
Get insider insights into Sanjeev's personal AI development toolkit, including how he uses Claude, Q Developer, and local models for different tasks. Learn practical multi-LLM routing strategies, code review workflows, and how to choose the right AI tool for specific infrastructure challenges.
Kubernetes Meets AI Infrastructure
Understand the unique challenges of running AI workloads on Kubernetes, from GPU resource management to model serving at scale. Sanjeev shares real-world experiences from supporting financial services customers and the patterns that work for high-performance computing environments.
The Future of AIOps
Dive into discussions about Model Context Protocol (MCP), autonomous agents, and the concept of "agentic AI" that will define 2025. Learn how these technologies are reshaping the relationship between humans and infrastructure, with the memorable analogy of "you are Krishna steering the chariot."
Security and Best Practices
Explore critical security considerations when implementing AI in DevOps workflows, including safe practices for model deployment, data handling, and maintaining compliance in enterprise environments.
Perfect for DevOps engineers, SREs, platform engineers, and technical leaders navigating the intersection of AI and infrastructure operations.
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