Java Spring Boot Microservices on Kubernetes on AWS Cloud_1

Java Spring Boot Microservices on Kubernetes on AWS Cloud, available at $19.99, has an average rating of 4, with 98 lectures, based on 2 reviews, and has 61 subscribers.

You will learn about You will learn how to create Microservices with Spring Boot and Java that are run as Docker containers. You will learn how to use Git and GitHub to create Continuous Integration (CI) and delivery (CD) with Docker and Docker Hub. You will learn how to process REST request and use Spring Framework’s processing to serialize, deserialize and process JSON structures. You will learn how to create Docker images and run images as Docker containers as well as deploy images on minikube. You will learn basic commands for Docker and Kubernetes and also to create and use a Postgres database. You will learn how to create Cloud Servers or Instances and deploy applications on Kubernetes. You will also learn how to install Kubernetes. You will learn how to create a web application that retrieves data from the microservices using CSS, HTML, Docker, Tomcat and JavaScript. This course is ideal for individuals who are For anyone that want to learn Microservices with Java Spring Boot. or For anyone that want to learn Continuous Integration (CI) and Delivery (CD) with GitHub and Docker Hub. or For anyone that want to learn Spring data JPA. or For anyone that want to learn the basics of JSON handling and REST services. or For anyone that want to learn the fundamentals of Git, Repositories and GitHub Workflows. or For anyone that want to learn how to create Docker images and deploy on minikube and Kubernetes. or For anyone that want to learn how to create Cloud Servers and install Kubernetes. It is particularly useful for For anyone that want to learn Microservices with Java Spring Boot. or For anyone that want to learn Continuous Integration (CI) and Delivery (CD) with GitHub and Docker Hub. or For anyone that want to learn Spring data JPA. or For anyone that want to learn the basics of JSON handling and REST services. or For anyone that want to learn the fundamentals of Git, Repositories and GitHub Workflows. or For anyone that want to learn how to create Docker images and deploy on minikube and Kubernetes. or For anyone that want to learn how to create Cloud Servers and install Kubernetes.

Enroll now: Java Spring Boot Microservices on Kubernetes on AWS Cloud

Summary

Title: Java Spring Boot Microservices on Kubernetes on AWS Cloud

Price: $19.99

Average Rating: 4

Number of Lectures: 98

Number of Published Lectures: 98

Number of Curriculum Items: 98

Number of Published Curriculum Objects: 98

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to create Microservices with Spring Boot and Java that are run as Docker containers.

You will learn how to use Git and GitHub to create Continuous Integration (CI) and delivery (CD) with Docker and Docker Hub.

You will learn how to process REST request and use Spring Framework’s processing to serialize, deserialize and process JSON structures.

You will learn how to create Docker images and run images as Docker containers as well as deploy images on minikube.

You will learn basic commands for Docker and Kubernetes and also to create and use a Postgres database.

You will learn how to create Cloud Servers or Instances and deploy applications on Kubernetes. You will also learn how to install Kubernetes.

You will learn how to create a web application that retrieves data from the microservices using CSS, HTML, Docker, Tomcat and JavaScript.

Who Should Attend

For anyone that want to learn Microservices with Java Spring Boot.

For anyone that want to learn Continuous Integration (CI) and Delivery (CD) with GitHub and Docker Hub.

For anyone that want to learn Spring data JPA.

For anyone that want to learn the basics of JSON handling and REST services.

For anyone that want to learn the fundamentals of Git, Repositories and GitHub Workflows.

For anyone that want to learn how to create Docker images and deploy on minikube and Kubernetes.

For anyone that want to learn how to create Cloud Servers and install Kubernetes.

Target Audiences

For anyone that want to learn Microservices with Java Spring Boot.

For anyone that want to learn Continuous Integration (CI) and Delivery (CD) with GitHub and Docker Hub.

For anyone that want to learn Spring data JPA.

For anyone that want to learn the basics of JSON handling and REST services.

For anyone that want to learn the fundamentals of Git, Repositories and GitHub Workflows.

For anyone that want to learn how to create Docker images and deploy on minikube and Kubernetes.

For anyone that want to learn how to create Cloud Servers and install Kubernetes.

You will learn how to create Java Spring Boot applications that are managed and run as Microservices. You will learn how to use Git, GitHub, Docker and Docker Hub to setup Continuous Integration and Delivery (CI/CD). You will also learn how to deploy applications on both minikube and Kubernetes installed on Cloud servers. You will also learn how to process REST request and use Spring Framework to serialize, deserialize and process JSON structures. You will learn how to use Docker to create and run images which you will then deploy on Kubernetes. You will learn how to create AWS servers (instances) in the Cloud and install Kubernetes to create your own cluster.

In bullets:

REST applications in Java Spring Boot with Postman as a REST client

Spring Data JPA (Java Persistent API)

Microservices and communication between services in Spring and in Docker containers

Docker images, containers and registries

Git repositories and configuration of workflows for Continuous Integration (CI) and Delivery (CD) with GitHub and Docker Hub

AWS EC2 instances (Servers) in the Cloud

Kubernetes on AWS Cloud servers and application deployment

Introduces different parts that could be used to find a specific part to dig deeper into as for example Spring, GitHub CI/CD, Docker or Kubernetes.

You will also create a web application that connects and retrieves data from the microservices. This will be deployed as a separate application using CSS, HTML, Docker, Tomcat and JavaScript to call the microservices.

What the organizations say about their own products:

Java –

“The world’s most popular modern development platform, Java SE is the programming language of choice for enterprise applications.” (java – Oracle)

Spring Boot and REST services –

“Spring’s focus on speed, simplicity, and productivity has made it the world’s most popular Java framework”(why-spring – Spring)

“REST has quickly become the de-facto standard for building web services on the web because they’re easy to build and easy to consume” (rest – Spring)

Microservices with JPA –

“Microservice architectures are the ‘new normal’. Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.” (microservices – Spring)

CI/CD with GitHub & Git –

“Automate, customize, and execute your software development workflows right in your repository with GitHub Actions. You can discover, create, and share actions to perform any job you’d like, including CI/CD, and combine actions in a completely customized workflow.”(actions – GitHub)

Docker and minikube

“The Industry-Leading Container Runtime

Docker Engine powers millions of applications worldwide, providing a standardized packaging format for diverse applications.”(container-runtime – Docker)

“minikube quickly sets up a local Kubernetes cluster on macOS, Linux, and Windows”(minikube)

Kubernetes on AWS Cloud Services

“Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications.”(kubernetes)

“Designed on the same principles that allow Google to run billions of containers a week, Kubernetes can scale without increasing your operations team.”(kubernetes)

“Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider like Amazon Web Services (AWS).”(what-is-cloud-computing – Amazon)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Setup the environment

Chapter 2: Rest and Spring Annotation

Lecture 1: Overview: Basics in REST and Spring annotation

Lecture 2: Logging, Autowire, Environment, Configuration file and PathVariable

Lecture 3: RequestBody, POST Mapping, JSON HTTP Body

Lecture 4: Put and Delete mapping, RequestBody, PathVariable, JSON

Lecture 5: PostConstruct, Environment, Property file, JSON Response

Lecture 6: Exception Handler

Chapter 3: Basics in Spring JPA

Lecture 1: Overview JPA: Entity, Table, Column, Id, Repository, H2 Database, Configuration

Lecture 2: Entity, Table, Column, Id, GeneratedValue, JpaRepository, findMethod

Lecture 3: Save to Database, H2 configuration, JSON Body, Repository, RestController

Lecture 4: Read from Database, Repository findAll, getMethod Names and JSON Response

Lecture 5: Query builder mechanism, Key words, Return type, Query creation, Find by Header

Lecture 6: Query builder mechanism, NoteDocument Repository, Find method, And Key word

Lecture 7: Spring Test and Junit5 tests

Chapter 4: Spring JSON Processing and JSON Format

Lecture 1: Overview Basics in JSON Processing

Lecture 2: Jackson Object Mapper, Serialize Object, Post JSON, RequestBody, String Object

Lecture 3: Jackson Object Mapper, Deserialize JSON, RequestBody

Lecture 4: Jackson FasterXml, Parse JSON Array and Object, Format conversion

Lecture 5: Document & NoteJsonMapper, ObjectMapper Array, Annotation ‘produces’

Chapter 5: Spring Microservices

Lecture 1: Overview Microservices

Lecture 2: Spring Project, Document Microservice, Repository, Entity, Table, Column, Id

Lecture 3: Document Controller, Store Document, Repository Save, JSON Body

Lecture 4: Document Controller, Retrieve Document, Repository Read, JSON Response

Lecture 5: NoteDocument Repository, Entity, Table, Column, Id, Reference Binder

Lecture 6: Store Note and Document Reference, Repository Save

Lecture 7: Reference binder JSON Syntax, Store Note Document Reference

Lecture 8: Retrieve Note and References, Repository Read and Find Method, Reference Binder

Lecture 9: Reactor Client, Server Port, Store Note and References

Lecture 10: Retrieve Note and Document, Reactor client, Call Document Microservice

Lecture 11: Document JSON syntax, ObjectMapper, Note Document Binder Response

Lecture 12: Tests for the Document, NoteDocument and Repository Classes

Chapter 6: Docker

Lecture 1: Overview Basics in Docker

Lecture 2: Dockerfile, Docker Hub, Exercises application

Lecture 3: Build Images, Filter images, Exercises application

Lecture 4: Run Image as Container, List Containers, Verify the Application with a Client

Lecture 5: Run Detached Containers, View Container Logs

Lecture 6: Run Container in Interactive Mode, Interactive Shell on a Running Container

Lecture 7: Docker Network, Communicating Containers, Stop and Prune Containers

Chapter 7: Kubernetes Minikube

Lecture 1: Overview Basics in Kubernetes Minikube

Lecture 2: Minikube Start, Dashboard, Delete Resources, Addons

Lecture 3: Minikube Kubectl, Cluster-info, Get & Describe Resources, Image ls & rm, Help

Lecture 4: Define a Service & Deployment

Lecture 5: Install Kubectl, Kubectl & minikube Versions

Lecture 6: Create Deployment, Get & Describe Service & Pod

Lecture 7: Minikube Tunnel, Verify Application, Kubectl Logs & Interactive Command

Lecture 8: Deployment Definition with Docker Hub, minikube Get & Delete Resources

Lecture 9: Docker Registry Secret, Create Deployment, Verify Application

Chapter 8: Git and GitHub Repository

Lecture 1: Git & GitHub Overview, Git Configuration files

Lecture 2: Git & GitHub Create Repository, Git Ignore file, Commit to Local Repository

Lecture 3: Git Push to Remote Repository, GitHub Repository

Lecture 4: Git Fetch, Pull, Diff

Lecture 5: Git & GitHub Document Service

Lecture 6: Git Log, Branch Local & Remote, Checkout

Lecture 7: Git Restore, Delete Local & Remote Branch

Chapter 9: Continuous Integration and Delivery (CI/CD), GitHub Actions, Docker Hub

Lecture 1: Overview Basics in CI/CD

Lecture 2: Continuous Integration & Delivery, Create a Workflow, Workflow syntax

Lecture 3: Workflow Triggers, Job Steps, Build with Maven

Lecture 4: Docker Hub Action, Login, Build and Push

Lecture 5: GitHub Variables & Secrets, Docker Hub UserName & AccessToken

Lecture 6: Manual Trigger, Run Workflow, Push Image to Docker Hub

Lecture 7: Context Variable, Branch Name in Build, Push Image to Docker Hub

Lecture 8: IF conditional, Release Branch, Spring Profiles and Dockerfiles in Workflows

Chapter 10: Cloud servers (AWS)

Lecture 1: AWS Account, Create EC2 Instance, Key Pairs, Firewall Ports and IPs

Lecture 2: NGINX, Create EC2 Instance, Access Test to NGINX

Chapter 11: Kubernetes on Cloud Servers (AWS), Continuous Deployment

Lecture 1: Overview Cloud Servers and Kubernetes

Lecture 2: Install Docker (Worker Node)

Lecture 3: Install Docker (Control Node)

Lecture 4: Install Kubernetes Cluster (Control Node)

Lecture 5: Kubernetes Cluster Private Keys Configuration

Lecture 6: Git & GitHub Deployment Repository & AWS Kubernetes Deployment Definition

Lecture 7: GitHub Access Token, GitHub Client (GH) Install, Login

Lecture 8: GH Repo Clone, Kubernetes Secret, Deployment Definition with DockerHub

Lecture 9: Deploy Application, Service Port in the AWS Firewall, Application Access

Lecture 10: Continuous Deployment, Rollout Restart & Status, Build Workflow

Chapter 12: Feature, Branches and CI/CD – Document Service (Development & minikube)

Lecture 1: Overview Lecture 13 – 15

Lecture 2: Create Branch, Checkout Branch, View Branch in Eclipse

Lecture 3: Implementation of Update & Delete

Lecture 4: Git Commit, Create Remote Feature Branch, Push

Lecture 5: Verify that the application works with Postman

Lecture 6: Workflow File Build on Pull Request, Kubernetes Deployment File

Lecture 7: Pull Request, Release Branch, Deliver Test Image

Lecture 8: Deploy Service to minikube, Verify with Postman, Delete Branch

Chapter 13: CI/CD of the Exercises Application – New version (Development & minikube)

Lecture 1: Verify the Exercises Application with Postman (Development)

Lecture 2: Workflow Build & Release Test

Lecture 3: Create Release Branch, Deliver Image, Deploy to minikube

Lecture 4: Verify the Exercises Application with Postman (minikube)

Instructors

Klas Bandholtz
System Analyst and Developer

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