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Kubernetes Architecture Explained

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Kubernetes Architecture Explained

Kubernetes is a container orchestration platform that helps to automate the deployment, scaling, and management of containerized applications. It is widely used by organizations to build, deploy, and manage containerized applications at scale.

Kubernetes architecture consists of various components that work together to create a robust and scalable platform for running containerized applications. In this article, we will discuss the Kubernetes architecture in detail.

Introduction to Kubernetes Architecture

Kubernetes architecture is based on a master-slave model. The master node is responsible for managing the cluster and its components, while the worker nodes are responsible for running the application containers. The master node controls the state of the entire cluster, including the scheduling of containers on worker nodes, scaling applications, and ensuring high availability.

Kubernetes Architecture Components

The Kubernetes architecture consists of various components that work together to manage the containerized applications. Here are the key components of the Kubernetes architecture:

  1. Master Node: The master node is responsible for managing the cluster and its components. It runs the Kubernetes API server, which is the central control plane for the entire cluster. It also runs the etcd database, which stores the configuration data for the entire cluster.

  2. Worker Node: The worker node is responsible for running the application containers. It runs the kubelet agent, which communicates with the master node to receive instructions on which containers to run.

  3. Pods: Pods are the smallest deployable units in Kubernetes. They contain one or more containers and share the same network namespace and storage volumes. Pods are scheduled on worker nodes by the Kubernetes scheduler.

  4. ReplicaSets: ReplicaSets ensure that a specified number of identical pods are running at all times. If a pod fails or is deleted, the ReplicaSet ensures that a new pod is created to replace it.

  5. Services: Services provide a stable IP address and DNS name for a set of pods. They act as a load balancer, routing traffic to the appropriate pod based on the service selector.

  6. Deployments: Deployments manage the rollout and rollback of changes to the application. They ensure that the desired number of replicas are running and that new replicas are created before old ones are deleted.

Kubernetes Architecture Commands and Examples

Here are some of the most common commands and examples for working with the Kubernetes architecture:

  1. kubectl get nodes: This command lists all the worker nodes in the cluster.

  2. kubectl get pods: This command lists all the pods running in the cluster.

  3. kubectl create deployment myapp --image=myimage: This command creates a deployment with the name myapp and the image myimage.

  4. kubectl scale deployment myapp --replicas=3: This command scales the deployment myapp to three replicas.

  5. kubectl expose deployment myapp --port=80 --target-port=8080: This command exposes the deployment myapp on port 80, routing traffic to port 8080 on the pods.

  6. kubectl delete deployment myapp: This command deletes the deployment myapp.

So, Kubernetes architecture is a complex system of components that work together to manage containerized applications. The master node is responsible for managing the cluster, while the worker nodes run the application containers.

Pods, ReplicaSets, Services, and Deployments are the key components of the architecture that enable the management of containerized applications. Kubernetes is a powerful platform that can help organizations to automate the deployment, scaling, and management of containerized applications at scale.

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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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