Container Orchestration
Manage containerized applications across multiple machines using a consistent platform for deployment and operations.
Learn Kubernetes step by step and understand clusters, nodes, Pods, Deployments, Services, networking, scaling, and the core concepts used to manage containerized applications.
Learning Path
Introduction
Kubernetes is an open-source platform used to automate the deployment, scaling, and management of containerized applications.
Instead of manually managing individual containers across multiple servers, Kubernetes provides a system for organizing workloads and maintaining the desired state of applications.
Kubernetes is widely used in modern cloud infrastructure, DevOps, microservices, CI/CD workflows, and cloud-native application environments.
Why Learn Kubernetes?
Kubernetes provides a foundation for running and managing containerized applications at scale.
Manage containerized applications across multiple machines using a consistent platform for deployment and operations.
Scale application workloads and replicas to handle changing traffic and resource requirements.
Kubernetes can replace failed workload instances and help maintain the desired application state.
Build essential skills for modern cloud infrastructure, DevOps, microservices, and container-based application platforms.
Core Concepts
Learn these Kubernetes concepts step by step to build a strong foundation in container orchestration and cloud-native infrastructure.
Understand Kubernetes, container orchestration, and how Kubernetes helps automate the deployment, scaling, and management of containerized applications.
Learn the basic architecture of a Kubernetes cluster, including the control plane, worker nodes, kubelet, and container runtime.
Understand Kubernetes clusters, worker nodes, resource scheduling, and how applications run across the infrastructure.
Learn about Pods, the smallest deployable units in Kubernetes, and how one or more containers can run together inside a Pod.
Learn how Deployments manage application instances, updates, replicas, and the desired state of containerized applications.
Understand Kubernetes Services, internal communication, service discovery, networking, and exposing applications.
Learn how Namespaces help organize resources and how ConfigMaps and Secrets can be used to manage application configuration.
Understand replicas, application scaling, health checks, automatic recovery, and how Kubernetes maintains the desired application state.
Learn the kubectl command-line tool and understand how YAML manifests are used to define and manage Kubernetes resources.
Build practical Kubernetes projects by deploying containerized applications, configuring services, scaling workloads, and managing application resources.
Skills to Learn
These are the core Kubernetes skills you should understand before moving to advanced cloud-native platforms, production clusters, monitoring, security, and Kubernetes administration.
Learning Roadmap
Follow this learning progression to move from container fundamentals to deploying and managing applications on Kubernetes.
Before learning Kubernetes, understand containers and Docker fundamentals because Kubernetes is designed to manage containerized workloads.
Understand how a Kubernetes cluster works, including the control plane, worker nodes, and the components responsible for running workloads.
Learn how Pods work, how containers run inside Pods, and how Kubernetes schedules workloads onto available nodes.
Deploy containerized applications and learn how Deployments manage replicas, updates, and application availability.
Understand how applications communicate inside a cluster and how Kubernetes Services can expose workloads.
Deploy real applications using YAML manifests, configure resources, scale workloads, and troubleshoot common Kubernetes issues.
What's Next?
After learning Kubernetes fundamentals, continue with CI/CD, Infrastructure as Code, cloud platforms, monitoring, security, and advanced Kubernetes administration.
Start Building
Learn Kubernetes fundamentals and build practical skills for deploying, scaling, and managing containerized applications in modern DevOps and cloud environments.