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Course Description
Deploying Java Spring applications on Amazon Web Services (AWS) offers a scalable and robust environment to host your apps. Here’s a step-by-step guide to deploying a Java Spring app on AWS:
### Prerequisites:
– **AWS Account**: Sign up for an AWS account if you haven’t already.
– **AWS CLI (Command Line Interface)**: Install and configure AWS CLI on your local machine.
### Steps:
#### 1. Build your Java Spring application:
– Develop your Java Spring application using your preferred IDE or build tools like Maven or Gradle.
– Ensure your application is configured with necessary dependencies and is ready for deployment.
#### 2. Prepare your application for AWS:
– Make necessary adjustments for your app to run in the AWS environment, like configuring database connections and security settings.
#### 3. Package your application:
– Build a deployable artifact (JAR, WAR) using Maven or Gradle. This artifact will be deployed on AWS.
#### 4. Set up AWS services:
– **Amazon EC2**: Create an EC2 instance to host your application.
– **Amazon RDS**: Set up a database using RDS if your application requires one.
– **Amazon S3**: Store static files, such as images or videos, in S3 if needed.
#### 5. Deploy your Java Spring app:
– Upload your application artifact to the EC2 instance or use a tool like AWS CodeDeploy for automated deployments.
– Configure security groups, network settings, and access permissions for your application on AWS.
#### 6. Ensure proper configuration:
– Set environment variables, database connections, and any necessary configurations for your Java Spring app to run smoothly on AWS.
#### 7. Test your deployed application:
– Access your application using the public DNS or IP address of your EC2 instance.
– Perform thorough testing to ensure all functionalities work as expected.
#### 8. Set up monitoring and logging:
– Utilize AWS CloudWatch to monitor your application’s performance and set up logging for debugging purposes.
#### 9. Enable auto-scaling and load balancing (optional):
– Implement AWS Elastic Load Balancing (ELB) and Auto Scaling to handle increased traffic efficiently.
#### 10. Continuous Deployment (optional):
– Use AWS CodePipeline or similar services for continuous integration and deployment to automate future updates.
#### 11. Secure your application:
– Implement AWS security best practices, such as IAM roles, encryption, and regular updates to maintain the security of your Java Spring app.
#### 12. Backup and Disaster Recovery:
– Set up backup mechanisms and disaster recovery plans to ensure the safety of your application data.
By following these steps, you can successfully deploy your Java Spring application on AWS, leveraging its scalable infrastructure and services to host your app online.
Curriculum
- 1 Section
- 71 Lessons
- 20 Days
Expand all sectionsCollapse all sections
- Spring Boot + AWS Basics71
- 1.1Course Setup & Introduction to Spring Boot
- 1.2Install Java, IDE, Maven
- 1.3Generate Spring Boot project (Spring Initializr)
- 1.4Basic REST API with Spring Boot
- 1.5Building RESTful Services
- 1.6CRUD with Spring Data JPA
- 1.7H2 for local dev, model, repository, controller layers
- 1.8Introduction to AWS Cloud
- 1.9Overview of EC2, RDS, S3, IAM
- 1.10Create AWS Free Tier account
- 1.11Deploy Spring Boot App to EC2 (Part 1)
- 1.12Launch EC2 instance (Ubuntu), SSH, install Java
- 1.13Package Spring Boot app as .jar
- 1.14Deploy Spring Boot App to EC2 (Part 2)
- 1.15Upload JAR to EC2, run app, configure security groups
- 1.16Make app publicly accessible via port 8080
- 1.17Database Integration & File Storage
- 1.18AWS RDS Setup + Spring Boot Integration
- 1.19Update Spring app to connect to RDS
- 1.20Launch RDS instance (MySQL/PostgreSQL)
- 1.21Secure credentials using application.properties
- 1.22S3 Integration with Spring Boot
- 1.23Create S3 bucket
- 1.24Upload/download files via Java (using AWS SDK)
- 1.25Environment Variables & IAM Roles
- 1.26Create IAM roles and policies for EC2 access
- 1.27Store DB credentials securely using EC2 env vars
- 1.28Logging & Monitoring with CloudWatch
- 1.29Log output from EC2
- 1.30Enable CloudWatch logs for health monitoring
- 1.31Mid-Course Project
- 1.32Mini Project
- 1.33REST API + MySQL (RDS) + file upload (S3)
- 1.34Deploy on EC2
- 1.35Elastic Beanstalk + Advanced AWS Services
- 1.36Intro to Elastic Beanstalk
- 1.37Deploy Spring Boot app via Elastic Beanstalk CLI
- 1.38Compare with EC2 manual deployment
- 1.39Load Balancing and Auto Scaling
- 1.40Set up Load Balancer with Elastic Beanstalk
- 1.41Configure scaling policies
- 1.42Custom Domain with Route 53 (Optional Bonus)
- 1.43Register domain
- 1.44Map to Elastic Beanstalk environment
- 1.45Securing Application with HTTPS & SSL
- 1.46Generate and configure SSL certificate
- 1.47Use AWS Certificate Manager (ACM)
- 1.48Hands-on Assignment
- 1.49Deploy an app with RDS, S3, HTTPS, and autoscaling using Elastic Beanstalk
- 1.50CI/CD Automation & Final Project
- 1.51CI/CD with GitHub + AWS CodePipeline
- 1.52Create GitHub repo
- 1.53Automate build and deploy using CodePipeline
- 1.54CodeBuild & CodeDeploy Deep Dive
- 1.55Build spec file
- 1.56Monitor build/deploy stages
- 1.57Troubleshooting common pipeline issues
- 1.58Final Project Planning
- 1.59Blog Platform / Product Catalog App
- 1.60CRUD REST APIs
- 1.61Store images in S3
- 1.62DB on RDS
- 1.63Deploy on Elastic Beanstalk
- 1.64CI/CD integration
- 1.65Final Project Execution + Testing
- 1.66Full deployment
- 1.67Live application demo
- 1.68Final Review + AWS Certification Prep (Optional)
- 1.69Recap AWS services used
- 1.70Suggested path: AWS Developer Associate
- 1.71Certificate of Completion