
Guide
Mastering Kubernetes Day 2 Operations with AI
Leveraging MCP and agents for enterprise scale and sustainability

Kubernetes made infrastructure provisioning easy. But Day 2 operations; upgrades, troubleshooting, performance tuning, and cost control, remain one of the biggest challenges for platform teams.
This guide explains how AI-powered agentic workflows help DevOps teams reduce operational toil, optimize cloud resources, and resolve incidents faster.
What you'll learn
- Why Kubernetes Day 2 operations consume most DevOps time and how complexity grows with scale
- How AI agents automate troubleshooting, incident analysis, and remediation
- How the Model Context Protocol (MCP) securely connects AI models to live infrastructure
- Practical strategies to reduce cloud waste and right-size Kubernetes workloads
- How to implement agentic DevOps workflows without sacrificing security or governance
- Real-world examples of AI-assisted scaling, cost optimization, and incident response
Download the guide!
