Cold start and warm start
Cold start and warm start refer to the two different states of a Lambda function container. A cold start occurs when your function is invoked for the first time or after a period of inactivity. During the cold start, AWS Lambda provisions a new container, loads runtime environments, and initializes the function code, increasing the overall execution time. A warm start occurs when a container is reused for subsequent invocations, reducing latency and improving execution performance. Maintaining an optimal number of warm containers is critical in minimizing response times and providing a better user experience.
Cold start and Warm start in AWS Lambda - A Comprehensive Guide
What it is:
In AWS Lambda, the concepts of Cold Start and Warm Start pertain to the time it takes for your function to execute.
Why it's important:
Understanding the difference between the two can greatly impact the performance of your functions, influencing the speed, efficiency, and reliability of your applications.
How it works:
A Cold Start happens when you execute an inactive function for the first time. It includes the time it takes to load your function and run your code. Warm Start refers to subsequent invocations of the function, where the function is 'warm' and ready to execute the code without delay.
Exam Tips - Answering Questions on Cold start and Warm start:
1. Understand the factors that influence cold start times - size of the code, runtime, memory allocation etc.
2. Be aware that warm starts occur when a function is invoked from an existing container.
3. Know the strategies to keep a function warm, like using Cloudwatch events to periodically invoke the function.
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