The AWS Developers Podcast
Episode 136
Oct 25, 24 • 00:44:35
With Vadym Kazulkin, Head of development at ip.labs
In this conversation, Vadym Kazulkin discusses AWS Lambda Snap Start, a feature designed to reduce cold start latency for Java applications in AWS Lambda. The discussion covers the challenges of cold starts, how Snap Start works, its impact on performance, and optimization techniques such as priming. Kazulkin shares insights from his extensive benchmarking and the implications for developers using AWS Lambda. The discussion also touches on challenges developers may face when using Snap Start, particularly in relation to randomness and caching mechanisms. Kazulkin encourages developers to revisit Java on Lambda with the new optimizations available, highlighting the evolving landscape of serverless computing.
Links
Here are the links to the tools, technologies, or articles we mentioned in this episode.
The first of 26 articles about Lambda SnapStart benchmarking
AWS Lambda Snap Start for Java functions
AWS Lambda cold start
Firecracker microVM
Impact of latency on revenue
AWS CRT
How Lambda loads data from the block devices