Kubernetes for Beginners: Google Cloud, AWS & Azure from Udemy

Do you want to learn Kubernetes and deploy Java Spring Boot Microservices to Kubernetes on Google Cloud with Google Kubernetes Engine with an easy to learn, step by step approach?

Do you want to deploy Kubernetes to AWS and Azure with EKS and AKS?

Do you have ZERO experience with Docker and Kubernetes? No Problem.

WHAT STUDENTS ARE SAYING:

5 STARS - This is amazing course. Ranga is really good instructor. Good Job.

5 STARS - This course is really amazing. I recommend it to anyone that wants to learn and understand Kubernetes. Ranga really understand how this stuff works and most importantly is very good at explaining it.

5 STARS - Its a wonderful course for the beginners and all important concepts are covered with good examples. The response for the questions we ask was also quick which is more important

5 STARS - Thank you Ranga for this lovely course, this course helped me to learn containerize spring-boot microservices apps and deploy them to google cloud

5 STARS - Great course on K8s and Spring Boot. I have several in28Minutes course bought on Udemy. They are always of very high quality. I have learned so much and put my trust in every course from in28Minutes.

5 STARS - Kubernetes course is amazing with deep learning and insights about the Kubernetes on GCP for Spring Boot Applications

5 STARS - Ranga has been a great instructor thoroughly explains topic areas step by step.

Do you want to join 500,000+ learners having Amazing Learning Experiences with in28Minutes?

Look No Further.

Learn Kubernetes? Yes. Deploy Java Spring Boot and Spring Cloud Microservices to Kubernetes? Yes. Of Course.

Learn Docker, Istio, and Helm? Yes.

COURSE OVERVIEW

Architectures are moving towards Microservices and Cloud.

Docker makes it easy to containerize microservices. Kubernetes makes it easy to manage clusters with 1000's of containers running 1000's of microservices. Google Kubernetes Engine (GKE) makes it super easy to create Kubernetes Clusters.

How about getting them all together and deploying Spring Boot Microservices to Kubernetes Clusters created on Google Cloud Platform using Google Kubernetes Engine (GKE)?

In this hands-on course, we will use Docker and Kubernetes to deploy a variety of Spring Boot Applications on Google Cloud using Google Kubernetes Engine:

REST APIs - Hello World
Todo Web Application War
Spring Boot Microservices

You will implement Service Discovery, Centralized Configuration, Distributed Tracing and Load Balancing for Spring Boot Microservices deployed in Kubernetes Clusters.

You will learn to use Helm Charts, Istio Service Mesh, Google Stackdriver, and Spring Cloud Kubernetes to play with Spring Boot Java Microservices on Kubernetes.

This course would be a perfect first step as an introduction to Kubernetes.

You will be using containerizing (using Docker) and deploying a variety of projects to Kubernetes Clusters. These projects are created with Spring Boot ( We will help you set up each one of these.

COURSE Hit the Enroll Button.

WHAT TO EXPECT FROM EVERY

Each of these courses come with

Amazing Hands-on Step By Step Learning Experiences
Real Project Experiences using the Best Tools and Frameworks
Friendly Support in the Q&A section
Free Udemy Certificate of Completion on Completion of Course

HERE ARE A FEW REVIEWS ON THE The way he has prepared the material and the way he teaches is really awesome. What an effort .. Thanks a million

5 STARS - A lot of preparation work has taken place from the teacher and this is visible throughout the course.

5 STARS - This guy is fantastic. Really. Wonderful teaching skills, and goes well out of his way to make sure that everything he is doing is fully understood. This is the kind of tutorial that gets me excited to work with a framework that I may otherwise not be.

5 STARS - The best part of it is the hands-on approach which the author maintained throughout the course as he had promised at the beginning of the lecture. He explains the concepts really well and also makes sure that there is not a single line of code you type without understanding what it really does.

5 STARS - I also appreciate the mind and hands approach of teaching something and then having the student apply it. It makes everything a lot clearer for the student and uncovers issues that we will face in our project early.

5 STARS - Amazing course. Explained super difficult concepts (that I have spent hours on the internet finding a good explanation) in under 5 minutes.

Start Learning Now. Hit the Enroll Button.

What's inside

Learning objectives

Simplify devops with docker and kubernetes for 6 java spring boot applications
Use kubernetes to orchestrate docker based java spring boot microservices
Learn kubernetes and docker concepts - images, repository, containers, pods, replica sets and deployments
Play with kubernetes and docker commands
Understand architecture of kubernetes and docker
You will use kubernetes declaratively with yaml configuration
You will learn to expose your kubernetes deployments with services and ingress
You will learn to use kubernetes config maps and secrets
You will make zero downtime releases with kubernetes
You will learn to create kubernetes clusters with master node and nodes
You will learn to deploy spring boot web applications and rest api to kubernetes
You will become an expert on the kubernetes command line tool - kubectl
You will play with docker, docker compose and kubernetes

You will use persistent storage with kubernetes - pv and pvc
You will implement service discovery, centralized configuration, distributed tracing and load balancing for microservices deployed in kubernetes
You will implement different auto scaling approaches with kubernetes
You will use google stackdriver for tracing, error reporting and logging
You will integrate spring boot microservices on kubernetes with istio
You will perform blue green deployments and canary deployments with istio
You will integrate kiali, graphana and prometheus with istio and kubernetes
You will implement distributed tracing for spring boot microsevices with istio and jaegar
You will use helm to automate microservices deployment on kubernetes
You will join 300,000 learners having amazing learning experiences with in28minutes
Show more
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Simplify devops with docker and kubernetes for 6 java spring boot applications
Use kubernetes to orchestrate docker based java spring boot microservices
Learn kubernetes and docker concepts - images, repository, containers, pods, replica sets and deployments
Play with kubernetes and docker commands
Understand architecture of kubernetes and docker
You will use kubernetes declaratively with yaml configuration
You will learn to expose your kubernetes deployments with services and ingress
You will learn to use kubernetes config maps and secrets
You will make zero downtime releases with kubernetes
You will learn to create kubernetes clusters with master node and nodes
You will learn to deploy spring boot web applications and rest api to kubernetes
You will become an expert on the kubernetes command line tool - kubectl
You will play with docker, docker compose and kubernetes
You will use persistent storage with kubernetes - pv and pvc
You will implement service discovery, centralized configuration, distributed tracing and load balancing for microservices deployed in kubernetes
You will implement different auto scaling approaches with kubernetes
You will use google stackdriver for tracing, error reporting and logging
You will integrate spring boot microservices on kubernetes with istio
You will perform blue green deployments and canary deployments with istio
You will integrate kiali, graphana and prometheus with istio and kubernetes
You will implement distributed tracing for spring boot microsevices with istio and jaegar
You will use helm to automate microservices deployment on kubernetes
You will join 300,000 learners having amazing learning experiences with in28minutes
Show more
Show less

Syllabus

Introduction

Kubernetes for Beginners - Course Overview

Github Repository for the course

Getting Started with Kubernetes and Google Kubernete Engine (GKE)

Step 01 - Getting Started with Docker, Kubernetes and Google Kubernetes Engine

Step 02 - Creating Google Cloud Account

Step 03 - Creating Kubernetes Cluster with Google Kubernete Engine (GKE)

Step 04 - Review Kubernetes Cluster and Learn Few Fun Facts about Kubernetes

Step 05 - Deploy Your First Spring Boot Application to Kubernetes Cluster

Save Your Free Credits

Step 06 - Quick Look at Kubernetes Concepts - Pods, Replica Sets and Deployment

Commands Executed During the Course

Step 07 - Understanding Pods in Kubernetes

Step 08 - Understanding ReplicaSets in Kubernetes

Step 09 - Understanding Deployment in Kubernetes

Step 10 - Quick Review of Kubernetes Concepts - Pods, Replica Sets & Deployment

Step 11 - Understanding Services in Kubernetes

Step 12 - Quick Review of GKE on Google Cloud Console

Step 13 - Understanding Kubernetes Architecture - Master Node and Nodes

Step 14 - Understand Google Cloud Regions and Zones

Do you want to help us?

GKE - Using Kubernetes and Docker with Spring Boot Hello World Rest API

Step 01 - Importing First 3 Spring Boot Projects into Eclipse

Step 02 - Setting up 01 Spring Boot Hello World Rest API in Local

Quick Tip for Windows 10 : Enable "Expose Demon without TLS option"

Step 03 - Build Docker Image and Push to Docker Hub for Hello World Rest API

Step 04 - Installing GCloud

Step 05 - Installing Kubectl

Step 06 - Deploy 01 Spring Boot Hello World Rest API to Kubernetes

Step 07 - Generate Kubernetes YAML Configuration for Deployment and Service

Step 08 - Understand and Improve Kubernetes YAML Configuration

GKE - Playing with Declarative Configuration for Kubernetes

Step 01 - Understanding Kubernetes YAML Configuration - Labels and Selectors

Step 02 - Quick Fix to reduce release downtime with minReadySeconds

Step 03 - Understanding Replica Sets in Depth - Using Kubernetes YAML Config

Step 04 - Configure Multiple Kubernetes Deployments with One Service

GKE - Using Kubernetes and Docker with Java Spring Boot Todo Web Application

Step 01 - Setting up 02 Spring Boot Todo Web Application in Local

Step 02 - Pushing Docker Image to Docker Hub for Spring Boot Todo Web App

Step 03 - Using Kubernetes YAML Config to Deploy Spring Boot Todo Web App

Step 04 - Playing with Kubernetes Commands - Top Node and Pod

GKE - Using Kubernetes and Docker with Java Todo Web Application using MySQL

Step 01 - Code Review of 03 Java Todo Web Application MySQL

Step 02 - Running MySQL as Docker Container on Local

Step 03 - Connect Spring Boot Java Todo Web App to MySQL on Local

Step 04 - Create Docker Image for 03 Todo Web Application and Use Link to connec

Update to Step 04 - Launching Containers in Custom Network

Step 05 - Playing with Docker Compose

Step 06 - Using Kompose to generate Kubernetes Deployment Configuration

Step 07 - Review Kubernetes YAML for MySQL and Java Web Application

Step 08 - Deploy MySQL Database to Kubernetes Cluster

Step 09 - Understanding Persistent Storage with Kubernetes - PV and PVC

Step 10 - Using Config Maps for Centralized Configuration with Kubernetes

Step 11 - Using Secrets with Kubernetes

Step 12 - Creating a ClusterIP Kubernetes Service for MySQL Database

GKE - Using Kubernetes and Docker with Java Spring Boot Microservices

Step 01 - Introduction to Microservices

Step 02 - Advantages of Microservices

Step 03 - Microservices - Challenges

Step 04 - Overview of CCS and CES Spring Boot Microservices

Step 05 - Push Docker Images and Create Kubernetes Config for Microservices

Step 06 - Deploying Spring Boot Microservices to Kubernetes Cluster

Step 07 - Microservices and Kubernetes Service Discovery - Part 1

Step 08 - Microservices and Kubernetes Service Discovery - Part 2 DNS

Step 09 - Microservice Discovery, Centralized Configuration and Load Balancing

Step 10 - Using Kubernetes Ingress to Simplify Microservice Access

Step 11 - Review Google Cloud Load Balancer Backend and Frontends with Ingress

GKE - Integrating Java Spring Cloud Kubernetes with Spring Boot Microservices

Step 01 - Using Spring Cloud Kubernetes with Microservices - Project Review

Step 02 - Deploying Spring Cloud Kubernetes Microservices

Step 03 - Using RBAC to allow Ribbon to access Service Discovery APIs

Step 04 - Using Spring Cloud Kubernetes Config to load ConfigMaps

Step 05 - Understanding Auto Scaling approaches with Kubernetes

Step 06 - Implementing Horizontal Pod Autoscaling with Kubernetes

Step 07 - Deleting Your Kubernetes Cluster

GKE - Integrating Spring Boot Microservices - Kubernetes with Google Stackdriver

Step 01 - Creating New Cluster to Play With Google Stackdriver

Step 02 - Review Spring Boot Microservices integrated with Google Stackdriver

StackDriver Updates

Step 03 - Enabling Stackdriver APIs for Your Google Cloud Account

Step 04 - Deploy Spring Boot Microservices and Explore Google Stackdriver

Step 05 - Exploring Google Stackdriver Error Reporting and Logging

GKE - Integrating Java Spring Boot Microservices on Kubernetes with Istio

Step 01 - Creating new Kubernetes Cluster for Playing with Istio

Step 02 - Understanding Service Mesh, Istio and Sidecar Pattern

Step 03 - Installing Istio on Kubernetes Cluster - CRD and Istio Components

Step 04 - Review Istio Installation and Deploy Spring Boot App with Side Cars

Step 05 - Increasing Kubernetes Cluster Size to 3 Nodes

Step 06 - Understanding Gateways and Virtual Services for Istio

Step 07 - Basic Deployment Strategies - Rolling Updates and Recreate

Step 08 - Setting up Multiple Versions of Spring Boot Applications

Step 09 - Configure Destination Rules and Subsets to implement Mirroring

Step 10 - Executing Blue Green and Canary Deployments with Kubernetes

Step 11 - Review Spring Boot Microservices integration with Istio

Step 12 - Observing Istio Service Mesh with Kiali

Step 13 - Monitoring Istio Service Mesh with Graphana and Prometheus

Step 14 - Distribute Tracing for Spring Boot Microsevices with Istio and Jaegar

Step 15 - Delete Kubernetes Cluster for Playing with Istio

GKE - Using Helm to Automate Microservices Deployment on Kubernetes

Step 01 - Understanding Helm Basics and Setting up Kubernetes Cluster

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by experts, which include Ranga and Ravi S who work in the field of DevOps

Provides plentiful examples with 6 Spring Boot applications

Examines use of Kubernetes and Docker with Java Spring Boot Microservices and Spring Cloud Microservices

Leverages Google Kubernetes Engine and Google Cloud Platform

Appropriate for beginners with zero experience with Docker and Kubernetes

Helps you build strong foundational Docker and Kubernetes competency, which can help with future employment opportunities

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Kubernetes for Beginners: Google Cloud, AWS & Azure with these activities:

Review Anatomy & Physiology

Show steps

Refreshes your knowledge of the Anatomical terminology and key concepts in physiology by utilizing flashcards.

Browse courses on Anatomy

Show steps

Use an online flashcard platform or application such as Anki or Quizlet to create a deck of flashcards covering key anatomical terms and concepts.
Review the flashcards regularly, focusing on understanding the relationships between different structures and functions.
Test your knowledge by taking practice quizzes or mock exams.

Complete Online Tutorials on Kubernetes Commands

Show steps

熟悉使用 Kubernetes 的命令行工具，以有效管理和维护集群。

Browse courses on Command-Line Interface

Show steps

Locate reputable online resources or platforms that provide interactive tutorials on Kubernetes commands.
Follow the tutorials step-by-step, experimenting with the commands in a practice environment or using a sandbox cluster.
Refer to the Kubernetes documentation or community forums for additional guidance and support.

Build a Kubernetes-Based Personal Project

Show steps

通过构建一个基于 Kubernetes 的个人项目，将你对 Kubernetes 的理解付诸实践并创建有形的成果。

Browse courses on Hands-On Learning

Show steps

Identify a problem or opportunity that can be addressed using Kubernetes.
Design and plan the architecture of your project, including the components and their interactions.
Implement the project using Kubernetes and appropriate programming languages and frameworks.
Deploy and manage your project on a Kubernetes cluster.
Monitor and evaluate the performance and reliability of your project.

Three other activities

Expand to see all activities and additional details

Show all six activities

Practice Deploying & Managing Kubernetes Clusters

Show steps

通过动手练习来巩固对 Kubernetes 集群的部署和管理技能。

Browse courses on Kubernetes Deployment

Show steps

Set up a local Kubernetes environment using tools like Minikube or Docker Desktop.
Deploy a sample application to the cluster and monitor its performance.
Experiment with different cluster configurations, such as scaling, load balancing, and resource management.
Troubleshoot common issues and errors that may arise during deployment and management.

Design and Implement a Kubernetes-Based Microservices Architecture

Show steps

将理论知识付诸实践，通过设计和实现一个基于 Kubernetes 的微服务架构来展示你的技能。

Browse courses on Microservices Architecture

Show steps

Identify a suitable project idea and define the functional requirements of the microservices.
Design the architecture of the microservices, including their interactions and communication protocols.
Implement the microservices using appropriate programming languages and frameworks.
Deploy the microservices to a Kubernetes cluster and configure them for high availability and scalability.
Monitor and test the performance and reliability of the microservices architecture.

Contribute to Open Source Kubernetes Projects

Show steps

通过向 Kubernetes 开源项目做出贡献，深入了解 Kubernetes 的内部运作并为社区做出贡献。

Browse courses on Software Development

Show steps

Identify areas within Kubernetes projects where you can make meaningful contributions.
Review the project's documentation and contribution guidelines to understand the development process.
Submit bug reports, feature requests, or code changes to the project's issue tracker or repository.

Career center

Learners who complete Kubernetes for Beginners: Google Cloud, AWS & Azure will develop knowledge and skills that may be useful to these careers:

Salesforce Developer

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Java Developer

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Software Developer

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Systems Engineer

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Network Engineer

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Data Engineer

Data Engineers design, build, and maintain data pipelines and systems to ensure that data is available, reliable, and secure for analysis and decision-making.

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Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems and applications.

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Database Administrator

Database Administrators design, implement, and maintain databases, ensuring that they are available, reliable, and secure.

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DevOps Engineer

DevOps Engineers bridge the gap between software development and IT operations teams by using automation tools and practices to improve the speed and efficiency of software delivery.

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IT Manager

IT Managers plan, direct, and coordinate the activities of IT staff, including the development, implementation, and maintenance of IT systems and networks.

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Business Analyst

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Product Manager

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Project Manager

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IT Architect

IT Architects design and maintain the overall IT infrastructure for an organization.