GraalVM Native Images are a powerful tool for reducing startup times and memory requirements of Java applications on AWS Lambda. By compiling Java bytecode to native machine code, GraalVM can significantly improve cold start performance and reduce overall resource consumption.
Until now, AWS Lambda has been the typical serverless representative for compute, transport, and filtering operations. However, new developments from the cloud provider makes it possible to reduce these responsibilities and create a more efficient (event-driven) architecture. Will this eventually make Lambda functions a thing of the past?
AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. You can trigger a Lambda function from event sources such as a variety of AWS services or your own applications. Lambda can handle anything from a few requests per day to thousands per second, and you only ever pay for what you use.
A serverless infrastructure offers flexible resource management with exact usage-based billing. The advantages of using it for companies are therefore obvious. But how does the set-up of a functioning serverless application work and how does serverless computing prove itself in practical everyday life?