Cold Starts and Provisioned Concurrency
Understand the concept of cold starts in Lambda and implement strategies like Provisioned Concurrency to mitigate their impact on latency-sensitive applications.
The 'Cold Start' Mystery
When you invoke an AWS Lambda function for the first time, or after a period of inactivity, you might notice a slight delay. This delay is known as a cold start.
During a cold start, AWS needs to prepare the execution environment for your function before your code can run. It's like starting a computer from scratch.
Behind the Scenes: Why the Delay?
Lambda functions are designed to be stateless and ephemeral. To save resources, AWS 'unloads' execution environments when they are not actively processing requests.
When a cold start occurs, the Lambda service performs several steps:
- Downloads your code package.
- Starts the runtime (e.g., Python, Node.js, Java).
- Initializes your function's dependencies and any global code outside the main handler.
These steps contribute to the initial latency.
All lessons in this course
- Cold Starts and Provisioned Concurrency
- Memory Allocation and Performance Tuning
- Cost Management for Lambda
- Right-Sizing with AWS Lambda Power Tuning