Recommended Deployment Method for Spring Boot Applications in a Production Environment

7 min readSep 13, 2024

Introduction

Spring Boot has become one of the most popular frameworks for building Java applications, primarily due to its ability to simplify the setup and deployment process. It provides a flexible and opinionated approach that eliminates many of the tedious configurations typically associated with Java development. However, deploying a Spring Boot application in a production environment requires careful planning and attention to detail to ensure high availability, performance, and security.

In this comprehensive guide, we will discuss the recommended deployment methods for Spring Boot applications in a production environment. We’ll cover topics such as packaging, server choices, containerization, cloud deployment, monitoring, and security, and provide actionable insights to help you deploy your Spring Boot application effectively.

Packaging Spring Boot Applications

Before diving into deployment methods, let’s discuss how to package a Spring Boot application for production.

Fat Jar or War File:
Spring Boot allows you to package your application either as a fat JAR (Java ARchive) or a WAR (Web ARchive) file.

Fat Jar: A fat JAR contains all dependencies bundled inside the single executable JAR file, including the embedded server (e.g., Tomcat, Jetty). This is the simplest way to deploy Spring Boot applications, especially for standalone microservices.
WAR File: If you need to deploy the application to an existing application server (e.g., an enterprise environment where Tomcat or JBoss is already running), you may opt for a WAR file. This is less common in modern deployments but still applicable in certain use cases.

For modern, cloud-native applications, fat JAR deployment is generally preferred due to its simplicity and self-contained nature.

Recommended Deployment Methods for Spring Boot

The following deployment methods are commonly used in production environments for Spring Boot applications:

Deploying with Embedded Servers
Containerization with Docker
Orchestration with Kubernetes
Cloud Deployment
Using Build Tools and CI/CD Pipelines
Deploying with Java Virtual Machine (JVM) Tuning

1. Deploying with Embedded Servers

The simplest and most common method of deploying a Spring Boot application is to use the embedded server that comes with the fat JAR. By default, Spring Boot provides an embedded server (like Tomcat, Jetty, or Undertow), which makes it easy to run the application without requiring an external server configuration.

Steps for Deployment:

Package the Application: Use Maven or Gradle to package your application into a fat JAR.
mvn clean package
Run the Application: Once packaged, you can run the application directly using the java -jar command:
java -jar myapp.jar
Reverse Proxy Setup: In production, it’s common to place a reverse proxy like NGINX or Apache in front of the Spring Boot application to handle HTTPS termination, load balancing, and static file serving.This deployment method is simple and ideal for microservices and smaller applications, but for larger, more complex setups, containerization and orchestration tools may be more suitable.

2. Containerization with Docker

Docker has revolutionized how applications are deployed by providing a lightweight, portable, and consistent environment for running applications. Spring Boot applications work well with Docker since they are packaged into self-contained JARs, making containerization straightforward.

Benefits of Docker:

Consistent runtime environment across development, testing, and production.
Simplifies dependency management.
Easy to scale horizontally in cloud environments.

Steps for Deploying Spring Boot with Docker:

Create a Dockerfile:
A Dockerfile defines the environment and the steps to build the Docker image for your Spring Boot application.Here’s an example of a simple Dockerfile for a Spring Boot application:
FROM openjdk:17-jdk-alpine
ARG JAR_FILE=target/myapp.jar
COPY ${JAR_FILE} app.jar
ENTRYPOINT ["java", "-jar", "/app.jar"]
Build the Docker Image:
Once the Dockerfile is ready, you can build the image:
docker build -t myapp .
Run the Docker Container:
You can now run the container locally or in your production environment:
docker run -p 8080:8080 myapp
Deploy to Docker Hub or Registry:
For production, you can push the image to a Docker registry (such as Docker Hub or a private registry), making it easy to deploy on any Docker-supported platform.

Containerizing Spring Boot applications provides flexibility and consistency across environments, making it easier to manage dependencies and scale services.

3. Orchestration with Kubernetes

Kubernetes (often abbreviated as K8s) is an open-source orchestration platform for automating the deployment, scaling, and management of containerized applications. While Docker is great for running individual containers, Kubernetes helps manage and scale multiple containers across a cluster.

Why Kubernetes for Spring Boot Applications:

Auto-scaling: Kubernetes automatically scales your Spring Boot microservices based on demand.
Self-healing: It automatically restarts containers that fail and replaces them when needed.
Rolling Updates: Kubernetes supports seamless rolling updates without downtime.
Service Discovery and Load Balancing: Built-in support for load balancing and service discovery.

Steps for Deploying Spring Boot to Kubernetes:

Create a Docker Image:
The first step is the same as containerization — create a Docker image for your Spring Boot application.
Write Kubernetes Manifests:
Kubernetes uses YAML configuration files (called manifests) to define the deployment, service, and scaling policies for the application. Below is an example of a deployment manifest for a Spring Boot app:
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp-deployment
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: myapp
image: myapp:latest
ports:
- containerPort: 8080
Deploy to Kubernetes:
You can deploy the Spring Boot application to a Kubernetes cluster using the kubectl command:
kubectl apply -f deployment.yaml
Expose the Application:
After deployment, you’ll need to expose the application using a service (LoadBalancer, NodePort, or Ingress) to allow external access.

Kubernetes is particularly suitable for large-scale, microservices-based Spring Boot applications. It provides powerful features for managing multiple services, ensuring high availability, and scaling your application dynamically based on demand.

4. Cloud Deployment

Cloud platforms such as AWS, Google Cloud, and Microsoft Azure provide managed services that simplify the deployment and management of Spring Boot applications. Each cloud provider has its own offerings for compute, storage, and scaling, which can be used to run Spring Boot applications efficiently.

Key Cloud Deployment Options:

Amazon Elastic Beanstalk (AWS):
Elastic Beanstalk allows you to deploy and manage applications in the AWS cloud without needing to worry about the underlying infrastructure. It supports Docker containers and native Java applications.

Steps: Simply package your Spring Boot application and upload it to Elastic Beanstalk via the AWS Management Console. AWS will handle the rest (provisioning, scaling, etc.).

Google Kubernetes Engine (GKE):
For those using Kubernetes, Google Kubernetes Engine (GKE) is a managed service that automates cluster management, upgrades, and scaling. You can deploy Spring Boot applications via Kubernetes on GKE in a cloud-native, highly available manner.
Microsoft Azure App Service:
Azure App Service is another platform-as-a-service (PaaS) solution that allows you to deploy Java applications without managing the underlying hardware. It supports Spring Boot applications through native integrations.
Heroku:
Heroku is a simple-to-use cloud platform for small-to-medium-sized Spring Boot applications. It abstracts away most of the infrastructure concerns and provides a straightforward git push deployment model.

Benefits of Cloud Deployment:

Scalability: Easily scale your application based on real-time usage patterns.
Reliability: Cloud platforms offer built-in redundancy and failover mechanisms.
Cost-Effectiveness: Pay only for the resources you consume, making it suitable for applications of all sizes.

5. Using Build Tools and CI/CD Pipelines

For modern production environments, having a solid CI/CD pipeline is crucial for automating the deployment process. Tools like Jenkins, GitLab CI, CircleCI, and Travis CI help automate the build, test, and deployment steps.

Steps for Setting Up CI/CD:

Create a CI/CD Pipeline: Configure your pipeline to automatically build the Spring Boot application upon code commit.
Test Automation: Incorporate unit tests, integration tests, and security tests as part of your pipeline to ensure quality.
Automated Deployment: Once the application passes all tests, deploy it to the production environment (e.g., Kubernetes, cloud services) automatically.

Automating deployment reduces manual errors, speeds up the release cycle, and ensures consistent, reliable deployment.

6.

Deploying with Java Virtual Machine (JVM) Tuning

JVM tuning is an essential aspect of deploying Spring Boot applications in a production environment. Optimizing the JVM settings can significantly improve performance, reduce memory consumption, and ensure stable application behavior under load.

Key JVM Tuning Tips:

Memory Settings: Adjust the heap size to match your application’s memory usage pattern. Use the -Xms and -Xmx parameters to set the minimum and maximum heap size.
java -Xms512m -Xmx2g -jar myapp.jar
Garbage Collection (GC) Tuning: Choose an appropriate garbage collection algorithm based on your application’s needs. For low-latency applications, the G1GC (Garbage-First Garbage Collector) is recommended.
Thread Pool Management: Optimize thread pool settings to handle concurrent requests efficiently. You can configure thread pools in Spring Boot using properties like:
server.tomcat.threads.max=200

Proper JVM tuning ensures that your Spring Boot application runs efficiently, handles high concurrency, and avoids common performance bottlenecks.

Conclusion

Deploying a Spring Boot application in a production environment requires a thoughtful approach, combining the right tools, techniques, and infrastructure to ensure performance, reliability, and scalability. Whether you are deploying on an embedded server, containerizing with Docker, orchestrating with Kubernetes, or leveraging cloud services, each method offers specific advantages depending on your application’s scale and complexity.

By containerizing with Docker, orchestrating with Kubernetes, and leveraging cloud platforms, you can build scalable, resilient, and cost-effective solutions. Additionally, adopting CI/CD pipelines and JVM tuning best practices will streamline the deployment process and ensure optimal performance in production.