
Begin by bookmarking the course GitHub repo and follow a project path from hello world REST and todo APIs with H2 to dockerized deployments on Elastic Beanstalk using MySQL.
Create an AWS root account by entering personal and billing details, verify email and phone, and sign into the management console to explore the free tier.
Create an IAM group named developers, add an IAM user with management console access, and assign administrator access to enable day-to-day tasks while avoiding root account usage.
Get a high-level view of cloud computing with AWS and Elastic Beanstalk, and see how on-demand provisioning enables deploying Java Spring Boot apps and REST APIs.
Deploy your first application with AWS Elastic Beanstalk in us east north virginia. Create an application and a web server environment, then configure platform options, monitor, instances, and deployments.
Explore the AWS Elastic Beanstalk environment console, monitor health and logs, and view events. Configure instance types like t2.micro, upload or deploy jars, and manage updates.
Select the right region to host your AWS resources for performance and availability. See how regions like us-east-1 affect your Elastic Beanstalk deployments across the globe.
Explore how Elastic Beanstalk provisions an environment and the behind-the-scenes resources, including EC2 instances, Elastic Block Store, security groups, Elastic IPs, DNS, and S3, with monitoring via CloudWatch.
Set billing alerts and monitor the cloud billing dashboard daily to track costs, then stop unused resources and understand AWS free tier and pricing rules to manage spend effectively.
Configure AWS billing alerts using CloudWatch and budgets to monitor charges, trigger emails, and stay notified when spending crosses defined thresholds.
Download, unzip, and import seven spring boot projects from the GitHub repository into Eclipse or IntelliJ using Maven, set up a ready workspace, with troubleshooting resources, and deploy to AWS.
Speed up AWS deployment by using prebuilt build artifacts from the artifacts backup, then deploy jar or war files after local testing.
Run a simple Spring Boot Hello World REST API locally, packaged as a jar, on port 5000, and prepare for Elastic Beanstalk deployment.
Learn to package a Spring Boot hello world REST API into a jar and deploy it to AWS Elastic Beanstalk, including Maven packaging and jar creation.
Deploy the hello world rest api jar to AWS Elastic Beanstalk via the management console. Test the endpoint and review the logs to verify a simple deployment with no database.
Set up and run a Spring Boot Todo REST API locally using an H2 in-memory database, with JPA, Hibernate, and Spring Data JPA, exposing full CRUD endpoints.
Test and modify a local Spring Boot todo REST API by sending PUT, POST, and DELETE requests with a REST client, verify responses, and prepare for deployment to Elastic Beanstalk.
Package the spring boot todo rest api as a jar with mvn package, then deploy to Elastic Beanstalk and verify with the H2 in-memory database.
Manage AWS elastic beanstalk application versions to deploy, downgrade, and promote specific jar builds across dev and QA environments, using the application versions page to track deployments.
Terminate Elastic Beanstalk environments to stay within the free tier, avoid irreversible delete actions, and restore terminated environments within six weeks, releasing EC2 resources.
Analyze and download elastic beanstalk logs from the in28minutes_dev environment, focusing on nginx and spring boot logs. Understand log rotation, cloud formation logs, and use to debug and restart apps.
Deploy a spring boot web app with an in-memory h2 database, run locally on 8080, package as a war for Tomcat, and secure a todo app with spring security.
Maven builds a war file in target. Deploy the war to AWS Elastic Beanstalk by creating a web application and a dev environment, and uploading the war to Tomcat.
Deploy a Spring Boot web app as a WAR to Tomcat on AWS Elastic Beanstalk, then enable H2 console access and test with a new Elastic Beanstalk version.
Compare jar and war deployments on AWS Elastic Beanstalk by inspecting environment logs, reverse proxies (nginx vs Apache httpd), Catalina.out, healthd, and h2 database logs for a spring boot app.
Learn to move a Spring Boot app from H2 to MySQL on AWS RDS, configuring application.properties and environment variables to connect, and addressing MySQL keywords with column mappings.
Run a MySQL database on your local machine using Docker. Pull the MySQL image, configure environment variables including root password and database, publish ports, and connect through the MySQL shell.
Connect the Spring Boot app to a local MySQL docker container using application.properties, with todos at localhost:3306. Use ddl-auto=update to create and update todo table and verify with MySQL shell.
Deploy a spring boot war to AWS Elastic Beanstalk by creating a web environment, uploading the war, and configuring a MySQL 5.7 database with Tomcat.
Deploy and test a Spring Boot web app on AWS Elastic Beanstalk, connect to an RDS MySQL database via environment variables, verify deployment, and monitor logs for configuration details.
Explore rds, a managed relational database service, reviewing engines like Amazon Aurora, MySQL, MariaDB, PostgreSQL, Oracle, and Microsoft SQL Server, and how Elastic Beanstalk connects to it.
Explore how security groups control access between a web app on Elastic Beanstalk and an RDS database, configuring inbound rules for port 80 and 3306.
Create an RDS MySQL database outside Elastic Beanstalk, configure a staging web environment, and connect it to your Java Spring Boot app, using RDS credentials and networking details.
Configure elastic beanstalk stage to connect a spring boot mysql web app to rds, set rds hostname and credentials, then allow mysql traffic in rds security group and verify connection.
Create a custom security group for the web application, configure inbound rules for database access, and attach it to EC2 instances in the Elastic Beanstalk staging environment to restore connectivity.
Explore how to save and reuse environment configurations in AWS Elastic Beanstalk, including environment variables, security groups, and database settings, to reproducibly launch stage and other environments.
Explore a full stack Java Spring Boot and React app, deploy the REST API on Elastic Beanstalk and the React frontend on S3, and secure endpoints with JWT authentication.
Configure and run the React frontend locally, install dependencies with npm, start the app on port 4200, and point API_URL to localhost before deploying to aws elastic beanstalk.
Deploy a secured Java REST API backend to AWS Elastic Beanstalk by building a Maven jar, deploying, obtaining a JWT, and using it to access protected endpoints.
Configure the API URL for a production React frontend on AWS. Run npm run build to generate the build folder and deploy to AWS.
Discover how AWS S3, a scalable object store, uses buckets to host static websites with high durability (eleven nines) and global availability for quick deployment.
Create an s3 bucket in the app’s region, upload the build, enable static website hosting with index.html, and apply a bucket policy to allow getObject access for a React frontend.
Explains containerizing a single spring boot rest API (ToDo list) with dockerfile-maven plugin, building a docker image via mvn package on openjdk:8-jdk-alpine, exposing port 5000 and running app.jar.
Create and run a local docker image for a Java spring boot rest app, publish to docker hub, expose port 5000, and test the todos rest api.
Push a single Java Spring Boot docker image to Docker Hub by creating and using your Docker ID, logging in, and pushing the 1.0.0.release image, then prepare for AWS deployment.
Deploy a spring boot rest api as a docker container to AWS Elastic Beanstalk using a Dockerrun.aws.json and a Docker Hub image on port 5000.
Learn to deploy a multi-container Java Spring Boot REST API with MySQL locally, using Docker to run and link the MySQL and REST API containers.
Deploy a multi-container java spring boot rest api with mysql to AWS Elastic Beanstalk using dockerrun.aws.json v2, with container definitions and inter-container links.
Deploy a multi-container java spring boot rest API with mysql on AWS elastic beanstalk using dockerrun.aws.json. Expose port 5000 via security groups and review logs to verify health.
Learn to use the EB CLI to initialize, configure, and deploy a Spring Boot jar to an Elastic Beanstalk environment from the command line, including setup, credentials, and updating deployments.
Learn to use the AWS Elastic Beanstalk eb cli to manage environments, check status, print environment variables, and perform restore, clone, create, and logs retrieval.
Learn blue-green deployment on AWS Elastic Beanstalk by cloning an environment, deploying a new version to the clone, and swapping URLs to achieve zero downtime.
Create and deploy a Java Spring Boot worker app to AWS Elastic Beanstalk, configure a worker environment for long running tasks, queue messages, and handle post requests with 200 status.
Test a Java worker app on AWS Elastic Beanstalk using SQS by sending messages to the worker queue, observing processing, retries, and dead-letter queue behavior, including deployment of new versions.
Learn AWS Fundamentals? Yes. Deploy Spring Boot to AWS? Yes. Deploy Java Full Stack to AWS? Yes. Of Course. Hands-on? Of course.
Do you have ZERO experience with Amazon Web Services (AWS)? No Problem.
Do you want to learn to Deploy Java Spring Boot Applications to Amazon Web Services (AWS) using AWS Elastic Beanstalk with an easy to learn, step by step approach?
Are you ready to learn about the cloud with Amazon Web Services (AWS) and take the next step in your Java programming career?
Do you want to join 500,000+ learners having Amazing Learning Experiences with in28Minutes?
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WHAT STUDENTS ARE SAYING
5 STARS - This is the perfect course. The instructor takes you step by step ensuring you learn anything and everything pertaining to deploying your Spring Boot applications to Elastic Beanstalk. Spring Boot App 1 is simple - Spring Boot App 5 is complex. The way the instructor takes you thru each app, is amazing.
5 STARS - This is an excellent intro to AWS ElasticBeanstalk. But even more important, is that the instructor explains many elements of the Spring MVC, differences in deployment of a jar/war file, H2 in-memory db, and so many other gems. Ranga has so kindly and methodically filled-in so many of my gaps in knowledge with regards to web development. The value of this course goes waaaay beyond the actual price of the course. I am a true believe in the 'in28minutes' catalog and will continue purchasing further courses from in28minutes.
5 STARS - A brilliant course that really focuses on AWS Elastic Beanstalk, covering multiple deployments including connecting to a separate database, also liked the section on AWS Codepipeline, the pace is good and the instructor is clear and very knowledgeable, I highly recommend this course.
5 STARS - The course is very detailed. I can tell a lot of work was done to prepare it. It's impossible not to understand the material. Great job!
5 STARS - Exactly what I've been looking for! soo many AWS courses read like an encyclopedia or text book. few offer any sort of practical application. this course was great because it starts simple and builds to complex, by way of actual examples. awesome course.
5 STARS - This is my third course with the instructor and lectures are very knowledgeable to the point where you can get started on the topic.
COURSE OVERVIEW
How about learning AWS (Amazon Web Services) deploying Spring Applications to Cloud using Elastic Beanstalk?
Spring Boot is the No 1 Java Framework to develop REST API and Microservices. AWS (Amazon Web Services) is the No 1 Cloud Service Provider today.
In this course, we deploy a variety of Spring Boot Applications to the Cloud:
REST APIs - Hello World and Todo - Jar
Todo Web Application War
Full Stack Application with React and Spring Boot
Single Container with Java REST API
Multi Container with Todo REST API talking to MySQL
This course would be a perfect first step as an introduction to AWS and the Cloud, especially for Java Developers.
You will learn about automating deployments with Elastic Beanstalk CLI and creating a continuous delivery pipeline with AWS Code Pipeline. You will learn how to Auto Scale applications based on load as well as deploy multiple instances behind a load balancer using Elastic Beanstalk.
You will be using a number of AWS Services - EC2, S3, AWS CodePipeLine, AWS CodeBuild, SQS, IAM, CloudWatch.
You will be using deploying a variety of projects to Amazon Web Services (AWS). These projects are created with React (Frontend Framework), Spring Boot (REST API Framework), Spring (Dependency Management), Spring Security (Authentication and Authorization - Basic and JWT), BootStrap (Styling Pages), Maven (dependencies management), Node (npm), Visual Studio Code (TypeScript IDE), Eclipse (Java IDE) and Tomcat Embedded Web Server. We will help you set up each one of these.
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COURSE HIGHLIGHTS
Getting Started with the course - AWS Elastic Beanstalk
Getting Started with AWS
Getting Started with AWS Elastic Beanstalk
Deploying Java Spring Boot Hello World REST API to AWS Elastic Beanstalk
Deploying Java Spring Boot Todo REST API to AWS Elastic Beanstalk
Deploying Java Spring Boot H2 Web App to AWS Elastic Beanstalk
Deploying Java Spring Boot Web App talking to MySQL with AWS Elastic Beanstalk and AWS RDS
Deploying Java Full Stack Spring Boot React App with AWS Elastic Beanstalk and AWS S3
Deploying Docker Containerized Java Applications with AWS Elastic Beanstalk
AWS Elastic Beanstalk - CLI, Blue-Green Deployments and Worker Apps
AWS Elastic Beanstalk - Creating Load Balanced Auto Scaling Environments
Continuous Delivery for Java Spring Boot Applications with AWS CodePipeline and AWS CodeBuild
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