Running and Extending Kubernetes with Rust

Kubernetes is the industry standard for container orchestration, and Rust's speed, memory safety, and zero-cost abstractions make it ideal for building cloud-native applications and extending Kubernetes itself. This series guides you from containerizing your first Rust service to writing production-grade custom operators that extend the Kubernetes API.

You'll start with the fundamentals: building minimal multi-stage Docker images that reduce deployment size and startup time, then deploy your first Rust service to a local Kubernetes cluster. From there, you'll learn to use the kube-rs client library to watch Kubernetes resources in real time, trigger custom logic when changes occur, and finally implement full custom resource definitions (CRDs) and reconciliation loops — the backbone of any Kubernetes operator.

By the end of this series, you'll understand how projects like Prometheus, Fluxcd, and cert-manager use Rust and operator patterns to provide powerful, self-healing infrastructure. You'll be equipped to build your own domain-specific Kubernetes controllers that automate complex operational tasks, manage stateful systems, and scale across clusters.

Articles in this series

• Rust Containers on Kubernetes: Docker Build Guide
• Kubernetes Basics for Rust Developers
• Deploy Rust Apps to Kubernetes Clusters
• Rust kube-rs: Watch Kubernetes Resources
• Build Custom Controllers in Rust
• CRD and Operators: Define Custom Resources
• Stateful Rust Operators: Reconciliation Logic
• Multi-Stage Rust Docker Builds for Kubernetes
• Rust Operator Testing and Deployment
• Production Rust Kubernetes Operators: Scaling