You run kubectl apply and walk away. A few seconds later, your app is live. But what actually happened in between?
Most developers treat this as magic. And that works fine, until something breaks.
This talk tears open the black box. We'll trace the full journey of a Kubernetes deployment on AWS: from the moment your manifest hits the EKS control plane, through pod scheduling and container startup on worker nodes, to load balancer provisioning and the first real HTTP request reaching your app. Every step, visualized.
No hand-waving. No "it's complicated." Just a clear, honest picture of how K8s and AWS fit together, including the parts that work exactly as you'd expect and the parts that will surprise you.
You'll leave with a mental model concrete enough to actually use. Why pods land where they do, how AWS networking connects to Kubernetes abstractions, and exactly where to look when a deployment goes sideways. Whether you're already running workloads on EKS or just starting to move beyond the tutorials, this talk will make the system legible, and that changes how you build.

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Why would anyone intentionally break their own systems? Welcome to chaos engineering.In this talk, we’ll clarify the what and why behind chaos engineering and you’ll learn how small experiments in failure can help you uncover blind spots, harden your systems, and sleep better at night.We’ll look at real-world use cases, tools that make it easy to get started locally, and how to run chaos experiments without blowing up production.