![]() ![]() NET 3.1 runtime, you can configure theĪWS_LAMBDA_DOTNET_PREJIT environment variable to improve the latency forįunctions, even if they don't use provisioned concurrency. Immutable and does not change over the lifetime of the execution environment. the value of AWS_LAMBDA_INITIALIZATION_TYPE is This variable can have two possible values: provisioned-concurrency or The value of the AWS_LAMBDA_INITIALIZATION_TYPE environment variable. To help youĭetermine what type of initialization Lambda used for a particular environment, check Handle excess traffic, your function has to use on-demand instances. It's possible for your function to use up all of its provisioned concurrency. Lambda runs that code on every cold start, increasing overall latency. If the author initializes CLIENT_A outside the main handler, By doing this, Lambda only runs this code if some_condition is Of the main handler, the function author chose to initialize it within the if In the previous example, instead of initializing CLIENT_A outside The following control flow for a Lambda handler: Specific capability until the function needs that capability. Your function needs to achieve, you may choose to defer initialization for a If you're using on-demand instances, Lambda may have to re-run your initializationĬode every time your function receives a request (cold start). Initialize libraries or instantiate clients within your main handler code, yourįunction has to run this each time you invoke it, regardless of whether or not Won't impact latency during actual function invocations. ![]() Initialization outside of the main function handler is a good idea, since doing so Libraries and instantiating clients) at allocation time. Running on provisioned concurrency, Lambda runs any initialization code (i.e. Whether you choose provisioned concurrency or on-demand environments. ![]() The way you structure your function code to optimize for latency can depend on Optimizing latency with provisioned concurrency If your function usually peaks at 200 concurrent requests, set your provisionedĬoncurrency at 220 instead (200 concurrent requests + 10% = 220 provisionedĬoncurrency). On top of the amount of concurrency your function typically needs. When working with provisioned concurrency, Lambda suggests including a 10% buffer Metric, and the average request duration in seconds using the Duration You can estimate average requests per second using the Invocation Seconds gives you a rough estimate of how much concurrency you need to reserve. Multiplying average requests per second with the average request duration in Concurrency = (average requests per second) * (average request duration in seconds) ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |