npm serverless-plugin-warmup not working

#NPM SERVERLESS PLUGIN WARMUP NOT WORKING CODE#

We are an AWS Advanced Technology Partner and an AWS launch partner, providing support for Provisioned Concurrency in our platform since its launch. Lumigo is a serverless monitoring solution with strong support for AWS Lambda. Using Lumigo to Fine Tune Provisioned Concurrency You can also use AWS CloudFormation, the AWS CLI, and AWS SDK to modify these settings. The above steps apply to the AWS Management Console. The initialization process will be complete after several minutes, and then you can use the published alias of your function with the Provisioned Concurrency feature. The Provisioned Concurrency card should display the In progress status. After you complete step 7, go to the Lambda console.You pay for provisioned concurrency as if additional instances of your function were invoked and running on a continuous basis.

Warning – additional costs: provisioned concurrency is billed in addition to regular invocation costs for AWS Lambda. Define the required value for Provisioned Concurrency – the number specifies the number of function instances that will run continuously. Choose the Alias radio button for Qualifier Type, and then choose the function alias you selected previously in the Alias drop-down menu.

Find the Concurrency card and then choose the Add option.

In the Version drop-down menu, and choose 1, and then choose Create.

In the Actions drop-down menu, choose the Create alias option.

You can add a description for the version, but this is optional.

This will let you apply settings to an alias or a published version of a function.

In the Actions drop-down menu, choose the Publish new version option.

In the AWS Lambda console, choose an existing Lambda function.

The steps below explain how you can configure Provisioned Concurrency for your Lambda functions using the AWS Management Console. This means you must set provisioned concurrency carefully – specify just enough concurrency for your workloads, to avoid incurring unnecessary costs. The price is calculated according to the amount of concurrency (number of concurrent function invocations that can be performed without latency), and the amount of memory you allocate. You are billed for provisioned concurrency, from the moment you enable it, rounded to the nearest 5 minutes. However, provisioned concurrency comes at a cost. This means serverless functions can adapt to sudden bursts of traffic, or significant scaling events, without increasing latency. AWS Lambda prepares containers for your functions, ensuring they can be invoked with double-digit millisecond latency after they are called. You can set the desired concurrency for all versions or aliases of a function.

Provisioned Concurrency lets you build scalable serverless applications with predictable latency. Using Provisioned Concurrency, you can avoid cold starts and startup latency issues for your Lambda functions.

What is Provisioned Concurrency and How Can it Solve Cold Starts?Īmazon Lambda provides Provisioned Concurrency, a feature that gives you more control over the performance of serverless applications. This issue is particularly relevant to applications that need to run executions in real-time, or those that rely on split-second timing. That means that functions are kept warm for a limited amount of time (usually 30 – 45 minutes) after executing, before being spun down so that container is ready for any new function to be invoked.Ĭold starts in Lambda account for less than 0.25% of requests but the impact can be huge, sometimes requiring 5 seconds to execute the code. Cold starts reflect the AWS Lambda startup time required to “warm up” containers before functions become operational.ĪWS needs a ready supply of containers to spin up when functions are invoked. The fact of the matter is that cold starts are a necessary byproduct of the scalability of serverless.

find a space in its EC2 fleet to allocate the workerīefore it can pass the request to your handler function.

This request takes longer to process because the Lambda service needs to: This can mean a request takes much longer to execute, and only when the container is ready can your lambda start running.Ī “cold start” is the 1st request that a new Lambda worker handles.

#NPM SERVERLESS PLUGIN WARMUP NOT WORKING CODE#

They happen because if your Lambda is not already running, AWS needs to deploy your code and spin up a new container before the request can begin. Cold starts can be a killer to Lambda performance, especially if you’re developing a customer-facing application that needs to operate in real time.

Npm serverless-plugin-warmup not working