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Schedule

08:00 09:30
Welcome coffee and snack
Registration / Badge Pick Up
09:30 09:45
Intro from the Organizers (Atlas)
09:45 10:15
TBA
📍 Atlas Keynote
10:15 10:45
It's 3 AM and Your Kubernetes Cluster is Down: Why AI Should Be On-Call Instead of You
📍 Atlas Keynote
10:45 11:00
Break / Split Room
11:00 13:00
Kube-Oddities - the quirks that keep Kubernetes interesting

by Márk Sági-Kazár, Marcus Noble

📍 Atlas 1 Platform Engineering Any
Data sovereignty - what it really means?

by Pawel Piwosz

📍 Atlas 2 Sovereignty Beginner
11:45 12:15
Multi-Tenancy Has Layers: Peeling the Kubernetes Onion One Question at a Time
📍 Atlas 1 Platform Engineering
When GitHub Actions Hurts: The Road to Forge, an Open-Source Multi-Tenant GH Actions Runner Platform
📍 Atlas 2 Sovereignty Intermediate
12:30 13:00
You Can’t Prevent Every Outage, But You Can See Them Coming
📍 Atlas 1 Platform Engineering Advanced
Teaching Machines to Debug Machines: Building an AI-Powered RCA Agent for Sylva-Core
📍 Atlas 2 AI / ML
13:00 14:00
Lunch Break
14:00 14:30
Adobe's Platform Story: A New Platform Paradigm for Scaling the Kubernetes Fleet
📍 Atlas 1 Platform Engineering
Battery-Included AI Platform: From Zero to Production LLMs with EKS, KRO, and GitOps
📍 Atlas 2 AI / ML
14:45 15:15
Scaling Blockchain Infrastructure to Billions of Requests: A Cloud-Native RPC Platform
📍 Atlas 1 Platform Engineering
MLOps for GenAI: Enabling Autoscaling for GPU intensive workloads
📍 Atlas 2 AI / ML
15:15 15:30
Coffee Break
15:30 16:00
GitOps in the Wild: How We Run FluxCD at Raiffeisen Bank
📍 Atlas 1 Platform Engineering
Empowering LLMs with Kubernetes Context: Smart Troubleshooting via MCP
📍 Atlas 2 AI / ML
16:15 16:45
From N-Tier Architecture to Microservices and Agents
📍 Atlas 1 Platform Engineering
MCP Security: Keep Your AI Agents from Spilling the Tea
📍 Atlas 2 AI / ML
17:00 17:30
Let it be CHAOS!?
📍 Atlas 1 Platform Engineering
Building AI that works for people: A practical guide for developers
📍 Atlas 2 AI / ML
17:30 17:30
Let it be CHAOS!?
📍 Atlas 1 Platform Engineering
Building AI that works for people: A practical guide for developers
📍 Atlas 2 AI / ML