Engin Diri
As a Senior Solutions Architect at Pulumi with over 15 years of experience in the IT industry, including roles at the Schwarz Group and W&W Versicherungen, I bring extensive expertise with an end-user and enterprise focus. Currently working for a startup while collaborating with enterprise clients has further enriched my experience!
Recently, I have been exploring AI to find ways to make myself redundant in the future.
Sessions
It's 2am. Deployments are failing. Your team scrambles between ArgoCD, Kubernetes dashboards, and Git history trying to correlate what changed. What if an AI assistant could traverse these tools for you, not just suggesting commands, but actually executing investigations with your approval?
This hands-on workshop teaches you to build AI-assisted operational workflows using Agents supported by MCPs. We're going to create a multi-agent setup that leverages several MCPs (Kubernetes, ArgoCD, GitHub, Pulumi) to autonomously work on classical DevOps and SRE tasks while having a human in the loop for full enterprise compatibility.
What You'll Build
Participants will construct a working multi-agent system where:
- Specialized agents handle different operational domains (infrastructure, application delivery, source control)
- Agents autonomously detect configuration drift across Kubernetes namespaces
- Cross-agent coordination correlates ArgoCD sync failures with infrastructure changes in Pulumi
- GitHub integration queries recent commits and proposes remediation PRs
- Human approval gates maintain control over critical operations