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Sharath Kumar
Sharath Kumar

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How Do You Deploy a Spring Boot Application?

#deploy #springboot #application

Deploying a Spring Boot application means making your application available so users can access it over the internet or within an organization.

Spring Boot makes deployment easy because it comes with an embedded server (like Tomcat).

Steps to Deploy a Spring Boot Application

1. Build the Application (JAR/WAR)

Use Maven or Gradle to package your application.

mvn clean package
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👉 This generates a .jar file in the target/ folder.

2. Run the Application Locally 

java -jar application.jar
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👉 The app runs on default port 8080.

3. Deployment Options

1. Deploy as Standalone JAR (Most Common)

  • Copy .jar file to server
  • Run using: 
java -jar app.jar
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2. Deploy on Cloud Platforms

Popular platforms:

  • AWS (EC2, Elastic Beanstalk)
  • Azure
  • Google Cloud

👉 Upload JAR and run on cloud servers.

3. Deploy Using Docker

Create a Docker image:

FROM openjdk:17
COPY target/app.jar app.jar
ENTRYPOINT ["java","-jar","/app.jar"]
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Build & run:

docker build -t myapp .
docker run -p 8080:8080 myapp
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4. Deploy on Kubernetes

  • Package app in Docker container
  • Deploy using Kubernetes YAML files
  • Enables auto-scaling and management

5. Deploy as WAR (Traditional)

  • Package as WAR
  • Deploy to external servers like Tomcat

4. Configure Application Properties

Set environment-specific configs:

server.port=8081
spring.datasource.url=...
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5. Use CI/CD Pipeline

Automate deployment:

  • Build → Test → Deploy
  • Tools: Jenkins, GitHub Actions

6. Monitor Application

Use tools:

  • Spring Boot Actuator
  • Logs
  • Monitoring tools (Prometheus, Grafana)

Example Deployment Flow 

Code → Build (JAR) → Upload to Server → Run → Access via URL
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Best Practices

  • Use environment variables
  • Secure sensitive data
  • Enable logging and monitoring
  • Use Docker for consistency
  • Automate using CI/CD

Conclusion

Deploying a Spring Boot application is simple and flexible. You can deploy it as a JAR, Docker container, or on cloud platforms, depending on your needs. With proper configuration and automation, you can achieve reliable and scalable deployments.

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