AWS Lambda with Spring Boot

Greg Emerick AWS, Java, Spring, Spring Boot, Technology Snapshot 6 Comments

The typical deployment scenario for a Spring Boot application in AWS involves running the Java application on an EC2 instance 24 hours a day. Of course, the application could be deployed in AWS ECS as a Docker container, but it still runs continuously on an EC2 instance. In each case, the EC2 instances need to be monitored and you pay for compute capacity used by that EC2 instance.

AWS Lambda provides low cost compute with zero maintenance. Lambda runs your code on demand, without provisioned and managed servers. Lambda automatically runs and scales your code. You are charged for every 100ms your code executes and the number of times your code is triggered. If the code isn’t running, you pay nothing.

Lambda has clear cost and maintenance benefits. But what does it take to run the standard Spring Boot application as a Lambda? How does it work? What are the drawbacks? These are the questions that will be answered in this blog through a tangible example…

Using Docker + AWS to build, deploy and scale your application

Brandon Klimek AWS, DevOps, Docker, Spring, Spring Boot, Tutorial 7 Comments

I recently worked to develop a software platform that relied on Spring Boot and Docker to prop up an API. Being the only developer on the project, I needed to find a way to quickly and efficiently deploy new releases. However, I found many solutions overwhelming to set up.

That was until I discovered AWS has tools that allow any developer to quickly build and deploy their application.

In this 30 minute tutorial, you will discover how to utilize the following technologies:
– AWS CodeCommit – source control (git)
– AWS Code Build – source code compiler, rest runner
– AWS Codepipeline – builds, tests, and deploys code every time the repo changes
-AWS Elastic Beanstalk – service to manage EC2 instances handling deployments, provisioning, load balancing, and health monitoring
-Docker + Spring Boot – Our containerized Spring Boot application for the demo

Once finished, you will have a Docker application running that automatically builds your software on commit, and deploys it to the Elastic beanstalk sitting behind a load balancer for scalability. This continuous integration pipeline will allow you to worry less about your deployments and get back to focusing on feature development within your application.