AWS Lambda SnapStart for Python and .NET functions is now generally available

This article announces the general availability of AWS Lambda SnapStart for Python and .NET functions, which improves function startup performance by reducing initialization time from several seconds to sub-second, typically with minimal or no code changes.

Specifically, the article covers:

• How Lambda SnapStart works by caching and reusing the snapshotted memory and disk state of initialization code
• Benefits for Python functions (reduced startup latency when loading dependencies, frameworks, or ML models)
• Benefits for .NET functions (reduced JIT compilation time and latency variability)
• Getting started with SnapStart using the AWS Management Console, AWS CLI, or AWS SDKs
• Using runtime hooks to run code before snapshot creation or after resuming from a snapshot
• Things to know, such as handling uniqueness, performance tuning, networking best practices, and monitoring
• Availability and pricing details