Kubernetes for the Absolute Beginners with Hands-on Labs

Why You Need To Learn Kubernetes? Learning Kubernetes is essential for any DevOps professional. DevOps engineers are always in demand. The average Silicon Valley salary for a DevOps engineer is 20% higher than that of a software engineer. DevOps engineers make an average of $140,000 to $200,000 annually. And one of the most in-demand skills is Kubernetes Deployment. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation. Kubernetes is at the cutting edge of application deployment. The best way to kick-start your DevOps career is by learning how to effectively deploy Kubernetes by taking our Kubernetes for Beginner course. How Our Beginner’s Course Will Help You Learn Kubernetes This course is for absolute Kubernetes beginners. With zero knowledge about Kubernetes, once you take this course and complete all of the hands-on coding exercises, you will be ready to deploy your applications on a Kubernetes platform. As a beginner, you will start your journey and go through 10 simple, step-by-step lectures. Each lecture and demo is designed to give you the time to grasp all the concepts fully. The most important part of the course is the series of hands-on coding exercises accompanying each central concept. Practice, Kubernetes!!! But lectures alone won’t give you the skills you need to succeed as a DevOps engineer. In this course, you will learn by doing. Each exercise will help you ensure that you have truly mastered the concepts and will give you the confidence to apply your Kubernetes knowledge in real-world situations. You will develop your own services using Kubernetes configuration files for different use cases right in your browser. The coding exercises will validate your commands to ensure they are written correctly. Start Mastering Kubernetes Today Don’t waste any more time wondering what course is best for you. You’ve already found it. Get started by developing the Kubernetes skills you need to succeed as a DevOps engineer with our Kubernetes for Beginner course. Legal Notice: Kubernetes and the Kubernetes logo are trademarks or registered trademarks of The Linux Foundation. in the United States and/or other countries. The Linux Foundation and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by Kubernetes or The Linux Foundation. Course Update History - Feb 17, 2024 – Lab environment upgrade to 1.29v - June 15, 2023 – Lab environment upgrade to 1.27v - Feb 2, 2023 – Lab environment upgrade to 1.26v - Oct 10, 2022 – Lab environment upgrade to 1.24v - May 10, 2022 – Lab solutions added - May 1, 2022 – Lab environment upgrade to v1.23 - Oct 20, 2021 – Lab environment upgrade to v1.22 - May 10, 2021 – Lab environment upgrade to v1.20 - Aug 24, 2020 – Lab environment upgrade to v1.19 - Jun 16, 2020 – Lab environment upgrade to v1.18

• Introduction
• The "Introduction" module provides an overview of the "Kubernetes for Absolute Beginners" course, outlining its objectives and content. Participants gain insights into the course's focus on introducing Kubernetes concepts and hands-on labs designed for beginners.
• Kubernetes Overview
• The "Kubernetes Overview" module provides participants with a comprehensive introduction to Kubernetes. Participants learn about container technology and its significance in software development, as well as the concept of container orchestration. They delve into Kubernetes architecture, understanding its components and functionalities. Additionally, participants explore the differences between Docker and ContainerD container runtimes. Practical labs offer participants hands-on experience to familiarize themselves with the lab environment, preparing them for subsequent modules.
• Kubernetes Concepts
• In the "Kubernetes Concepts" module, participants delve into the fundamental concept of Pods in Kubernetes. Through guided demonstrations, participants learn how to set up Minikube, a tool for running Kubernetes locally, and explore the creation and management of Pods within a Kubernetes cluster. This module lays the groundwork for understanding more advanced Kubernetes concepts in subsequent modules.
• YAML Introduction
• The "YAML Introduction" module provides participants with an overview of YAML, a human-readable data serialization format commonly used in Kubernetes configuration files. Participants learn about YAML syntax and its structure through theoretical explanations and hands-on labs. This module equips participants with essential YAML skills required for writing Kubernetes manifests and configuring Kubernetes resources effectively.
• Kubernetes Concepts - PODs, ReplicaSets, Deployments
• The "Kubernetes Concepts - PODs, ReplicaSets, Deployments" module covers essential Kubernetes concepts for managing containerized applications. Participants learn about Pods, ReplicaSets, and Deployments through theoretical explanations, guided demonstrations, and hands-on labs. They gain practical experience in defining and managing Pods using YAML manifests, understanding the role of ReplicaSets in maintaining the desired Pod replicas, and creating and managing Deployments for application deployment and scaling. Additionally, participants explore advanced Deployment operations such as updates and rollbacks, enhancing their skills in managing application lifecycles in Kubernetes environments.
• Networking in Kubernetes
• The "Networking in Kubernetes" module provides participants with an introduction to networking concepts in Kubernetes. Participants learn about the fundamentals of networking within Kubernetes clusters, including how Pods communicate with each other and with external resources. This module lays the foundation for understanding more advanced networking topics in Kubernetes.
• Services
• The "Services" module introduces participants to Kubernetes Services, which provide a consistent way to access applications deployed in a Kubernetes cluster. Through demonstrations and labs, participants learn about different types of Services, including NodePort, ClusterIP, and LoadBalancer, and how they facilitate communication between Pods within the cluster and external clients. This module provides practical experience in configuring and managing Services in Kubernetes environments.
• Microservices Architecture
• The "Microservices Architecture" module provides participants with an overview of Microservices Architecture and its advantages in modern application development. Participants learn about the key characteristics and principles of Microservices, including modularity, scalability, and resilience. Through demonstrations, participants explore how to deploy a sample voting application on Kubernetes using Microservices architecture principles. Additionally, participants learn how to leverage Kubernetes Deployments for deploying and managing Microservices-based applications efficiently.
• Kubernetes on the Cloud
• The "Kubernetes on the Cloud" module introduces participants to Kubernetes deployment options on major cloud providers, including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. Participants learn about the fundamentals of deploying and managing Kubernetes clusters on each cloud platform, gaining insights into the unique features and services offered by GKE (Google Kubernetes Engine), EKS (Amazon Elastic Kubernetes Service), and AKS (Azure Kubernetes Service). This module equips participants with the knowledge required to choose and deploy Kubernetes on their preferred cloud platform.
• Conclusion and Appendix
• The "Conclusion and Appendix" module provides a summary of the key concepts covered throughout the course, allowing participants to review and reinforce their understanding of Kubernetes fundamentals. Additionally, the module includes appendices covering Kubernetes setup using Kubeadm and Minikube, providing participants with additional resources for setting up Kubernetes clusters in different environments.