Deep dives on the JVM

Serverless computing has become increasingly popular in recent years, and AWS Lambda is one of the most widely used serverless platforms. Spring Boot, on the other hand, is a popular framework for building microservices and web applications in Java. By combining these two technologies, developers can create powerful and scalable serverless applications. In this comprehensive guide, we'll dive into the details of building an AWS Lambda function with Spring Boot 3 and GraalVM Native Image. We'll explore how to use GraalVM Native Image to create a custom runtime for our Lambda function, which can result in faster startup times and lower memory usage. Additionally, we'll cover how to use the AWS Serverless Application Model (SAM) to deploy our Lambda function to AWS, how to test our function locally, and how to automate the deployment process with GitHub Actions. By the end of this guide, you'll have a solid understanding of how to build and deploy efficient and scalable serverless applications with Spring Boot and AWS Lambda.

In this blog post, we'll discuss why it's crucial to use an SDK manager as a java developer and how to install and switch between JDKs in a few seconds.