[Hands-on Workshop] Autonomous Kubernetes: Building AI-Powered Operations with AI Agents

​Kubernetes environments generate massive volumes of operational data. Metrics, logs, events, and configuration changes create complexity that's difficult to navigate quickly in production.

​WHAT YOU'LL BUILD

​Experiment with AI agents that operate directly on Kubernetes infrastructure, interpreting cluster signals and taking action across debugging, scaling, and workload optimization.

​Through three hands-on scenarios, you'll explore agents that:

• ​Diagnose cluster issues through Kubernetes API access

• ​Identify and resolve resource constraints and workload failures

• ​Adjust scaling policies based on workload behavior

• ​Apply production optimizations and sync fixes back to infrastructure-as-code

​No hype. Just practical AI-powered infrastructure operations.

​KEY TOPICS

• ​AI agents for infrastructure operations

• ​Cluster debugging automation

• ​Workload autoscaling optimization

• ​End-to-end infrastructure optimization

• ​Infrastructure-as-code synchronization

​AGENDA

​2:00 PM - Intro: AI for Kubernetes Operations
2:10 PM - Scenario 1: Cluster debugging with AI
2:35 PM - Scenario 2: Workload autoscaling
3:00 PM - Scenario 3: End-to-end workload optimization
3:25 PM - Closing discussion

​WHO SHOULD ATTEND

​Platform engineers, DevOps engineers, SREs managing Kubernetes clusters, infrastructure engineers, and developers building internal platform tooling.

​Prerequisites: Familiarity with Kubernetes concepts (pods, deployments, resource limits). Prior AI agent experience not required.

​What to Bring: Laptop, terminal access, Claude account (free tier).

​WORKSHOP ACCESS

​This workshop is exclusively available to summit attendees. First come, first served with limited capacity.

​CONDUCTED BY