Fine-Grained Resource Control for Projects & UI Showcase and more
Define fine-grained resource control with mapping to project types ensuring compliance and control with UI showcase
Topics Covered
Office Hours Summary
Define and enforce resource access with Resource Mapping to Project Types, ensuring control and compliance, UI Showcase and more
What You'll Learn
• In-depth insights from industry experts
• Practical strategies you can implement today
• Real-world examples and case studies
• Interactive Q&A and community discussion
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Hosts
Anindya Pal
Adi Unni
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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.
Intro to Facets Intelligence!
Get your first look at Facets Intelligence, our revolutionary AI-powered platform that transforms how teams approach infrastructure management. This episode provides a comprehensive walkthrough of generating production-ready Terraform modules with built-in compliance and context-awareness using the Model Context Protocol (MCP). ### AI-Powered Infrastructure Generation Watch live demonstrations of how Facets Intelligence understands your infrastructure context, automatically generates compliant Terraform modules, and integrates seamlessly with your existing workflows. See how AI can accelerate infrastructure provisioning while maintaining security and governance standards. ### Model Context Protocol Integration Explore how MCP enables deep infrastructure awareness, allowing AI to understand your organization's specific requirements, compliance needs, and architectural patterns. Learn how this context-awareness ensures generated infrastructure follows your established best practices and security policies. ### Live Demo Highlights Experience real-time infrastructure generation as we create production-ready modules, demonstrate compliance validation, and show how the AI adapts to different organizational contexts and requirements. See how teams can reduce infrastructure provisioning time from hours to minutes. ### Key Benefits & Use Cases Discover how Facets Intelligence enables faster time-to-market for new services, reduces infrastructure drift and inconsistencies, ensures compliance across all generated resources, and empowers developers to self-serve infrastructure while maintaining guardrails. ### Perfect For Platform Engineers building self-service infrastructure capabilities, DevOps teams looking to accelerate provisioning workflows, compliance teams needing consistent governance, and organizations scaling their infrastructure operations with AI assistance.
MCP Without the Hype: Founders Take
Rohit and Anshul sit down for a candid co-founders' conversation about Model Context Protocol (MCP). They're not selling you anything here—just sharing their honest thoughts on what MCP actually does, where it might be useful, and why most of the buzz around it is probably premature. ### What MCP Actually Is (And Isn't) The co-founders walk through what Model Context Protocol really means in practice. They explain the problem it's trying to solve and why it's not the revolutionary breakthrough some people are claiming. Spoiler: it's more evolution than revolution, and that's probably fine. ### The Reality Check on DevOps Implementation This isn't your typical "MCP will change everything" take. Rohit and Anshul discuss the actual challenges of integrating MCP with existing tools, the performance considerations most people aren't talking about, and why context management is still really hard—protocol or no protocol. ### When to Use It (And When Not To) The co-founders get practical about decision-making. They share their framework for when MCP might actually help your team versus when you're probably better off sticking with what works. It's refreshingly honest advice from people who've been in the trenches. A no-nonsense conversation for anyone trying to figure out if MCP is worth their time and energy, without the usual vendor pitch or conference hype.
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