Beyond Containers: The WebAssembly on Kubernetes Deep Dive

PLEASE FILL THIS MANDATORY FORM, IF YOU DO NOT FILL THIS FORM SECURITY WILL NOT ALLOW AT THE VENUE ENTRANCE https://forms.gle/yZhLK3WjEQrtwFZ4A

Note: I am looking for a venue for this session. If you know any org/company who can provide space for this session, please do let me know.

Cloud-native infrastructure is evolving. While containers revolutionised how we ship software, a new paradigm is emerging that promises millisecond startup times, tiny artifact sizes and capability-based security i.e., WebAssembly (Wasm).

This technical deep dive bridges the gap between the hype and the practical reality of running Wasm in production. Designed for Platform Engineers and Architects, this session moves beyond the browser to explore how Wasm fits into the modern Kubernetes ecosystem.

We will deconstruct the "Container vs. Wasm" debate, proving that they are not competitors but complementary technologies. You will learn the internal architecture of how Kubernetes executes Wasm modules using `containerd` shims and `runwasi` and you will get hands-on experience building, signing and deploying Wasm microservices alongside traditional containers.

What You Will Learn

• The Architecture: Understand the Wasm Component Model and the WASI (WebAssembly System Interface) standard.
• The Integration: Deep dive into how Kubernetes Nodes, CRI and Containerd are configured to bypass `runc` and execute Wasm directly.
• The Hands-on:
• Compile code (Rust/Go) to Wasm artifacts.
• Package and distribute Wasm modules using OCI registries.
• Spin up a Kubernetes cluster with KWasm and RuntimeClasses.
• Deploy a Spin or WasmEdge application to Kubernetes.
• The Patterns: Explore sidecar patterns, serverless-style scaling and performance benchmarking against Containers.

Target Audience: DevOps Engineers, SREs, Kubernetes Administrators and Backend Developers looking to future-proof their platform skills.

Prerequisites:

• If you wish to follow me during the session, you would need to have a laptop with `kubectl`, `Docker` and `Kind` (or any other kubernetes distribution) installed.
• Basic familiarity with Kubernetes objects (Pods, Deployments).