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LinkedIn Learning

Kubernetes for Java Developers

via LinkedIn Learning

Overview

Learn how to deploy Java applications to containers on the cloud with Kubernetes and Amazon Web Services.

Kubernetes is one of the most popular container orchestration engines available. More and more employers are looking for developers with Kubernetes experience. As a Java developer, learning Kubernetes deployment techniques is an easy way to extend your existing skills and employability. This course provides a step-by-step guide to help you deploy existing applications with Kubernetes and Amazon Web Services. Learn how to package your applications, create Kubernetes manifests, and deploy them to Kubernetes clusters, both locally and in the Amazon cloud. Instructor Arun Gupta, a professional Java programmer for over two decades, also shows how to configure an Istio service mesh for routing, load balancing, logging, and security and create deployment pipelines that allow you to shift your focus back to building applications.

Syllabus

Introduction
  • Applying Java skills to Kubernetes
  • What you should know
1. Introduction to Kubernetes
  • Why Kubernetes?
  • Kubernetes workflow for Java developers
  • Build and test application using Maven
2. Packaging Our App Using Docker
  • Docker workflow
  • Docker image and container
  • Build a Docker image using a Dockerfile
  • Work with a Docker container
  • Build a Docker image using Jib
  • Minimal Docker image using custom JRE
3. Kubernetes Concepts and Getting Started
  • Kubernetes concepts and instantiation
  • Kubernetes resources
  • Kubernetes cluster concepts
  • Kubernetes clusters: Getting started
  • Getting started with Minikube
  • Deploy using standalone manifests
  • Deploy using standalone single manifest
  • Introduction to Helm charts
  • Deploy using Helm charts
  • Debug a deployment with IntelliJ
4. Kubernetes Cluster on AWS
  • Introduction to Amazon EKS
  • EKS deployment
  • Migrate app to a cluster on AWS
5. Service Mesh and Istio
  • Introduction to service mesh and Istio
  • Install Istio on Amazon EKS
  • Deploy application with two deployments
  • Create Istio resources
  • Traffic shifting using Istio
  • Visualize mesh using Kiali
6. Deployment Pipelines
  • Skaffold
  • AWS CodePipeline
Conclusion
  • Next steps

Taught by

Arun Gupta

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