How To Reduce Cold Starts for Java Serverless Applications in AWS: GraalVM, AWS SnapStart & Co
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For many years, Java has been one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times which may heavily impact the latencies of your application. But the times change: Community and AWS as a cloud provider improve things steadily for Java developers. In this talk, we look at best practices, features and the possibilities AWS offers Java developers to reduce the cold start times like GraalVM Native Image and AWS Lambda SnapStart based on on FirecrackerVM snapshot and CRaC (Coordinated Restore at Checkpoint) project.
Transcript
For many years, Java has been one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times which may heavily impact the latencies of your application.
But the times change: Community and AWS as a cloud provider improve things steadily for Java developers. In this talk, we look at best practices, features and the possibilities AWS offers Java developers to reduce the cold start times like GraalVM Native Image and AWS Lambda SnapStart based on on FirecrackerVM snapshot and CRaC (Coordinated Restore at Checkpoint) project.
About the speakers
Head of Development at ip.labs