Production Kubernetes Cluster Setup | kubeadm cluster | Tech Arkit

Fully working Production Kubernetes Cluster Setup in the detailed and step-by-step guide. Kubeadm | Kubelet | Kubectl.
Commands and Guide
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Kubernetes: Orchestrating Containerized Applications
Kubernetes, often abbreviated as K8s, is a powerful open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Originally developed by Google and later donated to the Cloud Native Computing Foundation (CNCF), Kubernetes has emerged as the de facto standard for container orchestration in modern cloud-native environments.
Containerization: Foundations of Kubernetes
At its core, Kubernetes leverages containerization technology to encapsulate applications and their dependencies in isolated, lightweight units known as containers. Containers provide a consistent and reproducible environment, ensuring that applications run consistently across different environments, from development to testing and production.
Key Components of Kubernetes:
Nodes: The fundamental building blocks of a Kubernetes cluster are nodes. A node can be a physical machine or a virtual machine and serves as the host for containers.
Pods: The smallest deployable units in Kubernetes are pods. A pod is a group of one or more containers that share the same network namespace, enabling them to communicate with each other using localhost.
Control Plane: Also known as the master, the control plane is responsible for managing the overall state of the cluster. It consists of several components, including the Kubernetes API Server, Controller Manager, Scheduler, and etcd.
Kubernetes API Server: The central management entity that exposes the Kubernetes API and is responsible for processing API requests, validating them, and updating the corresponding objects in etcd.
etcd: A distributed key-value store that serves as the cluster's persistent storage, maintaining the configuration data and the current state of the entire system.
Controller Manager: Enforces the desired state of the cluster by regulating controllers for nodes, endpoints, and replication.
Scheduler: Assigns pods to nodes based on resource availability and constraints, ensuring optimal distribution across the cluster.
Kubelet: An agent running on each node, responsible for ensuring that the containers within a pod are running and healthy.
Kube-proxy: Maintains network rules on nodes, enabling communication between different pods and external traffic.

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Kubernetes Guide: github.com/techarkit/DevOps/blob/main/Kubernetes/kubeadm-cluster.md

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[@suryalingala01]

Great demo🎉 , please do more videos on Kubernetes.

[@TechArkit]

Thank you for the feedback, we will upload more videos soon

[@madhavamelkote4554]

Very informative bro, subscribed immediately.. please make more videos,, 😀😃

[@anthonysox2001]

Brilliant👌

[@TechArkit]

Thank you

[@babugowda1683]

Informative❤

[@TechArkit]

Glad to hear that

[@sufyanahmad5426]

Informative👍

[@TechArkit]

So nice of you

[@sudarshankumar991]

Great demo ..Is this production grade setup ?

[@TechArkit]

/yes

[@layalsadek935]

do you prefer deploying kubernetes cluster from scratch or using kubadm (production cluster)?