Deploying Spring Boot Applications to Heroku and AWS

Table of Contents

1. Introduction to Cloud Deployment
2. Deploying Spring Boot Applications to Heroku
3. Deploying Spring Boot Applications to AWS EC2
4. Using Amazon RDS with Spring Boot
5. Configuring Security and Scaling on AWS
6. Continuous Deployment with AWS CodePipeline
7. Monitoring and Logging on AWS
8. Summary

1. Introduction to Cloud Deployment

Cloud deployment allows you to host applications on cloud platforms such as Heroku and AWS, providing scalability, high availability, and managed infrastructure. The deployment process typically involves packaging your application, configuring cloud resources, and pushing the application to the cloud platform.

In this module, we’ll cover the deployment of Spring Boot applications to Heroku and Amazon Web Services (AWS).

2. Deploying Spring Boot Applications to Heroku

Heroku is a popular Platform as a Service (PaaS) that abstracts away much of the complexity of deployment and management. It’s a great option for developers who want to focus on writing code rather than managing infrastructure.

Step 1: Preparing Spring Boot Application

Make sure your Spring Boot application is ready for deployment. Build the .jar file using Maven or Gradle:

For Maven:

bashCopyEditmvn clean install

For Gradle:

bashCopyEdit./gradlew build

Step 2: Install Heroku CLI

To deploy to Heroku, you’ll need to install the Heroku Command Line Interface (CLI).

• Download the Heroku CLI from Heroku’s official site.
• Install it based on your operating system.

Step 3: Log in to Heroku CLI

Once installed, open your terminal and log in to your Heroku account:

bashCopyEditheroku login

Step 4: Initialize Git Repository

If your project isn’t already a Git repository, initialize one:

bashCopyEditgit init
git add .
git commit -m "Initial commit"

Step 5: Create a Heroku App

Create a new Heroku app using the Heroku CLI:

bashCopyEditheroku create your-app-name

This will create an app and provide you with a URL where your app will be hosted.

Step 6: Deploy to Heroku

Push your application to Heroku using Git:

bashCopyEditgit push heroku master

Heroku will automatically detect that it’s a Java application, build it, and deploy it.

Step 7: Open the Application

Once deployed, you can open the app using the following command:

bashCopyEditheroku open

Your Spring Boot application is now live on Heroku!

3. Deploying Spring Boot Applications to AWS EC2

Amazon Web Services (AWS) provides more flexibility and control over the infrastructure. One of the most common ways to deploy applications on AWS is through EC2 (Elastic Compute Cloud).

Step 1: Create an EC2 Instance

1. Log in to your AWS Management Console.
2. Navigate to EC2 and click Launch Instance.
3. Choose an Amazon Machine Image (AMI). For a simple Spring Boot application, the Amazon Linux 2 or Ubuntu AMI is a good choice.
4. Choose an instance type. A t2.micro instance is eligible for the free tier and is sufficient for small applications.
5. Configure instance settings and create a new key pair to connect to the instance via SSH.

Step 2: Connect to Your EC2 Instance

Once your EC2 instance is running, you can connect to it using SSH:

bashCopyEditssh -i your-key.pem ec2-user@your-ec2-public-ip

Make sure to replace your-key.pem with the path to your key file and your-ec2-public-ip with your instance’s public IP.

Step 3: Install Java and Dependencies

After connecting to the instance, install Java and other dependencies to run your Spring Boot application:

bashCopyEditsudo yum update -y
sudo yum install java-1.8.0-openjdk -y

Step 4: Transfer Your Spring Boot Application

Transfer your .jar file to the EC2 instance using scp (secure copy):

bashCopyEditscp -i your-key.pem target/your-app.jar ec2-user@your-ec2-public-ip:/home/ec2-user/

Step 5: Run the Application

Once the .jar file is transferred, run the application using the following command:

bashCopyEditjava -jar your-app.jar

This will start the Spring Boot application on the EC2 instance. You can now access the application via the public IP of the instance.

4. Using Amazon RDS with Spring Boot

If your application requires a database, Amazon RDS (Relational Database Service) provides a fully managed database solution that can be easily integrated with your Spring Boot application.

Step 1: Create an RDS Instance

1. Navigate to RDS in the AWS Management Console.
2. Choose the database engine (e.g., MySQL, PostgreSQL) and configure your instance (choose the instance size, storage, etc.).
3. Once created, note down the endpoint and credentials.

Step 2: Update Application Properties

In your Spring Boot application’s application.properties file, configure the database connection:

propertiesCopyEditspring.datasource.url=jdbc:mysql://your-rds-endpoint:3306/your-database-name
spring.datasource.username=your-username
spring.datasource.password=your-password

Step 3: Test the Connection

Restart your Spring Boot application and test the connection to Amazon RDS.

5. Configuring Security and Scaling on AWS

AWS provides a range of features for managing the security and scaling of your application.

Security:

• Security Groups: Set up security groups to control access to your EC2 instance. Ensure the necessary ports (e.g., 8080 for HTTP) are open.
• IAM Roles: Use IAM roles for fine-grained access control to AWS resources.

Scaling:

• Elastic Load Balancer (ELB): Use ELB to distribute incoming traffic across multiple EC2 instances.
• Auto Scaling: Set up Auto Scaling to automatically increase or decrease the number of EC2 instances based on traffic.

6. Continuous Deployment with AWS CodePipeline

AWS CodePipeline is a fully managed CI/CD service that automates the building, testing, and deployment of applications.

Step 1: Set Up CodePipeline

1. Navigate to the CodePipeline section in the AWS Management Console.
2. Create a new pipeline and configure the source (e.g., GitHub or AWS CodeCommit).
3. Set up build and deploy stages, such as using AWS CodeBuild to build the application and AWS CodeDeploy to deploy it to EC2.

Step 2: Automate Deployments

Once the pipeline is set up, every change in your source repository will automatically trigger the build and deployment process.

7. Monitoring and Logging on AWS

Monitoring and logging are essential for ensuring the health of your application. AWS provides tools like CloudWatch for logging and CloudTrail for monitoring.

Step 1: Configure CloudWatch Logs

Set up CloudWatch Logs to capture logs from your Spring Boot application running on EC2:

propertiesCopyEditlogging.level.root=INFO
logging.level.org.springframework=INFO

You can then view the logs in the CloudWatch Console.

Step 2: Set Up CloudWatch Metrics

Use CloudWatch Metrics to monitor the performance of your EC2 instances, database, and application. Set up custom metrics if needed.

8. Summary

In this module, we’ve learned how to deploy Spring Boot applications to two popular cloud platforms: Heroku and AWS. We covered:

• Deploying to Heroku using simple Git commands.
• Setting up and configuring an EC2 instance for hosting Spring Boot applications on AWS.
• Integrating Amazon RDS for database management.
• Securing and scaling your application using AWS features.
• Setting up Continuous Deployment pipelines with AWS CodePipeline.

With this knowledge, you can now deploy and manage your Spring Boot applications on these cloud platforms, ensuring high availability, scalability, and security.