Docker and Kubernetes Training | Kubernetes Online Training

Introduction to Kubernetes (K8S)

Kubernetes, often abbreviated as K8s, is an open-source container orchestration platform that automates the deployment, scaling, management, and monitoring of containerized applications. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation (CNCF). Kubernetes provides a robust and scalable infrastructure for running and managing containerized workloads, making it an essential tool for container orchestration in modern application development and deployment.

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Here's an overview of Kubernetes and its key concepts:

1. Containers: Kubernetes is designed to work with containers, which are lightweight, standalone, and executable software packages that contain all the necessary code and dependencies to run an application. The most common container technology used with Kubernetes is Docker. - Docker Online Training

2. Cluster: A Kubernetes cluster is a group of physical or virtual machines (nodes) that run containerized applications. Clusters consist of a master node and one or more worker nodes. The master node manages the cluster, while the worker nodes run the containerized workloads.

3. Master Node: The master node is the control plane of the Kubernetes cluster. It manages the overall state of the cluster and makes decisions about scheduling, scaling, and maintenance. Key components of the master node include the API server, etcd (a distributed key-value store), the controller manager, and the scheduler. - Kubernetes Training Hyderabad

4. Node (Worker Node): Worker nodes, also known as minions, are the machines in the cluster where containers are deployed and executed. Each node runs container runtime software, such as Docker or containerd. Worker nodes are responsible for running and monitoring containers.

5. Pods: The smallest deployable unit in Kubernetes is a Pod. A Pod can contain one or more containers that share the same network namespace, storage, and IP address. Containers within a Pod are often tightly coupled and work together to serve a specific function. - Docker and Kubernetes Training

6. ReplicaSets: A ReplicaSet is a Kubernetes resource that ensures a specified number of Pod replicas are running at all times. It helps with scaling applications up or down based on demand.

7. Services: Kubernetes Services provide a stable endpoint for accessing a group of Pods. Services can load-balance traffic across multiple Pods, making it easy to discover and connect to running applications.

8. Ingress: Ingress controllers and resources allow external traffic to access services within the cluster. They provide routing, load balancing, and SSL/TLS termination. - Docker Online Training Hyderabad

9. ConfigMaps and Secrets: These resources allow you to manage configuration data and secrets separately from application code, making it easier to update configurations without changing the container image.

10. Volumes: Kubernetes supports various types of storage volumes that can be mounted into Pods. This allows data to persist or be shared among containers. - Kubernetes Online Training Hyderabad

11. Labels and Selectors: Labels are key-value pairs that can be attached to Kubernetes objects. Selectors are used to filter and organize resources based on these labels.

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