Kubernetes Tutorials & Guides
Kubernetes is the open-source system for automating deployment, scaling, and management of containerized applications. These guides cover the core objects you actually use in production — Pods, Deployments, Services, Ingress, ConfigMaps, and Secrets — plus the operational concerns that decide whether a cluster is reliable: health checks, resource requests and limits, rolling updates, and autoscaling.
Whether you're deploying your first workload to a local cluster or running multi-tenant platforms, the articles here favor concrete kubectl commands, real YAML, and the tradeoffs behind each pattern over abstract overviews. Common topics include debugging CrashLoopBackOff, right-sizing resources, and safe zero-downtime rollouts.
Frequently asked questions
What is Kubernetes used for?
Kubernetes orchestrates containers across a cluster of machines — scheduling workloads, restarting failed containers, scaling replicas up and down, rolling out new versions without downtime, and load-balancing traffic. It's the standard way to run containerized applications reliably in production.
What is the difference between a Pod, a Deployment, and a Service?
A Pod is the smallest deployable unit (one or more containers sharing a network and storage). A Deployment manages a set of identical Pods, handling replicas and rolling updates. A Service gives that set of Pods a stable network endpoint and load-balances requests across them.
Do I need Kubernetes for a small project?
Usually not. For a single app or low traffic, a managed platform (or a single container host) is simpler and cheaper. Kubernetes pays off when you run many services, need self-healing and autoscaling, or want a consistent deployment model across teams.
