Kubernetes Architecture Explained | Kubernetes Tutorial for Beginners | Simplilearn

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In this video, we are going to learn about Kubernetes architecture! Kubernetes, often referred to as k8s or kube, is a powerful open-source platform that automates the deployment, management, and scaling of containerized applications. While it offers incredible capabilities, many people find its complexity overwhelming.We will break down the two main types of nodes in Kubernetes: master nodes and worker nodes. You’ll discover the unique roles each node plays within the cluster and how they work together to efficiently manage your applications.
Additionally, we’ll explore Kubernetes’ self-management and self-healing features, which significantly reduce manual effort. By the end of this tutorial, you’ll have a clearer understanding of how Kubernetes can simplify application management.

00:00 Introduction
01:17 Pods & Containers
02:55 Worker Nodes
04:04 Container Runtime , Kubelet & Kube Proxy
07:18 Master Nodes
08:00 Api Server , Scheduler , Controller Manager & etcd
07:18 Master Nodes
10:30 Example (Setting up Cluster)

✅ Question 1 What is the difference between a master node and a worker node in Kubernetes?
Answer:The master node manages the cluster and orchestrates application scheduling, while worker nodes run the actual applications (pods) and execute tasks assigned by the master.

✅ Question 2 How does Kubernetes ensure application availability and reliability?
Answer:Kubernetes ensures availability by automatically restarting failed pods and scaling applications based on demand, maintaining the desired number of replicas for optimal performance.

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Skills Covered:
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Learning Path:
✅ Learning Path
✅ DevOps Foundations: Version Control and CI/CD with Jenkins
✅ Configuration Management with Ansible and Terraform
✅ Containerization with Docker
✅ Container Orchestration with Kubernetes
✅ Monitoring and Logging in DevOps
✅ DevOps Capstone Project
Electives:
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✅ A Walkthrough of DevOps using Google Cloud
✅ Microsoft Azure Fundamentals
✅ Microsoft Certified DevOps Engineer - AZ 400
✅ Docker with IBM
✅ Kubernetes with IBM
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