More and more enterprise organizations are moving toward the Cloud or want to adopt a more cloud-native operating model. Adopting serverless compute services like AWS Lambda is high on developers' wish lists.
A lot of these organizations use Java for their existing applications, but Java is known for its high cold start times and high memory footprint in Serverless environments. Because of this, some developers switch to a different programming language when working with AWS Lambda, but you don't always have to do that. In this talk, I will share some of the lessons I learned while helping Java teams to improve the performance of their Java-based Lambda functions.

After this talk, you should have some inspiration to squeeze even more performance out of your existing Java based serverless functions.