Learn Kubernetes fundamentals and practical container orchestration skills for deploying, scaling, managing, and operating modern applications.
Kubernetes Learning Path
Kubernetes Fundamentals
Clusters & Nodes
Pods & Workloads
Services & Networking
Configuration & Secrets
Scaling & Operations
Introduction
Kubernetes provides a platform for managing containerized workloads and services using declarative configuration and automation.
DevOps engineers use Kubernetes to deploy applications, manage replicas, handle service networking, perform rolling updates, and operate workloads across a cluster.
Learning Kubernetes builds on Docker knowledge and provides an important foundation for cloud-native applications, platform engineering, CI/CD, and modern infrastructure operations.
Core Topics
Learn the core Kubernetes concepts required to deploy and manage containerized applications.
Understand what Kubernetes is, why container orchestration is important, and how Kubernetes manages containerized applications across a cluster.
Key Topics
Learn how Kubernetes clusters are organized with a control plane and worker nodes that run and manage containerized workloads.
Key Topics
Understand Pods as the smallest deployable units in Kubernetes and learn how workloads manage application instances.
Key Topics
Learn how Kubernetes Services provide stable networking and communication for applications running across changing Pods.
Key Topics
Learn how to separate application configuration and sensitive information from container images using Kubernetes resources.
Key Topics
Learn how Kubernetes supports scaling, rolling updates, health checks, self-healing, and operational management.
Key Topics
Command Line
kubectl is the primary command-line tool used to interact with Kubernetes clusters and resources.
kubectl get nodesDisplay the nodes available in the Kubernetes cluster.
kubectl get podsList Pods running in the current namespace.
kubectl get deploymentsDisplay Kubernetes Deployments.
kubectl get servicesDisplay Services running in the cluster.
kubectl apply -fCreate or update Kubernetes resources from a YAML file.
kubectl describeDisplay detailed information about a Kubernetes resource.
kubectl logsView logs from a running container or Pod.
kubectl execRun a command inside a running container.
kubectl scaleChange the number of replicas for a workload.
kubectl deleteDelete a Kubernetes resource.
kubectl rollout statusCheck the progress of a Deployment rollout.
kubectl rollout undoRoll back a Deployment to a previous revision.
Kubernetes Workflow
Kubernetes uses resource definitions to describe the desired state of an application, including containers, replicas, networking, and configuration.
Kubernetes controllers continuously work to move the actual state of the cluster toward the desired state defined by the user.
Example Kubernetes Workflow
DevOps Applications
Kubernetes is commonly used for managing modern distributed and containerized applications in development and production environments.
Kubernetes manages containerized applications across multiple machines and helps maintain the desired state of workloads.
Applications can run with multiple replicas and scale according to operational or workload requirements.
Kubernetes can replace failed containers and workloads to help maintain application availability.
DevOps teams can use Kubernetes as a deployment platform for automated application releases and updates.
Individual services can be deployed, scaled, updated, and managed independently within a Kubernetes environment.
Kubernetes is widely used as a platform for modern cloud-native applications and distributed systems.
Learning Roadmap
Follow this structured learning path to build practical Kubernetes and container orchestration skills.
Learn how clusters, control planes, worker nodes, and Kubernetes components work together.
Understand Pods, containers inside Pods, Pod lifecycle, and how applications run in Kubernetes.
Learn how Deployments manage application replicas, updates, and workload state.
Use Kubernetes Services to provide networking and stable access to applications.
Work with ConfigMaps, Secrets, environment variables, and application configuration.
Scale applications, perform rolling updates, troubleshoot workloads, and manage deployments.
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Next Step
Continue learning Kubernetes workloads, networking, storage, security, cloud infrastructure, CI/CD, and modern DevOps technologies.