To not spend too much time on this I fired up an EC2 instance with the Amazon default image and copied that library next to the Pypy interpreter into my package. The recommended solution to create a symbolic link to the library is also not an option, because the environment is read-only (except for /tmp/). In fact, it is available in the environment but Pypy does not find it.
The problem is that a libbz2 library was not available. And I couldn’t find a version specifically for the Amazon Linux. Unfortunately, downloading a compiled binary didn’t just work for me. The interpreter has to work on Amazons Linux environment. AWS must be starting/killing this loop based on how many tasks are waiting for execution and probably some other factors. The example runs in an endless loop, working on one task in each iteration.
You can quickly set up a test project using serverless that will execute the example bootstrap code. This script will do initialization work, call an interface for requesting the next task/incoming request, dispatch it to whatever runtime you are providing and respond to another interface with either a success or an error message. And it is much quicker to edit code, iterate and put it to version control.Ĭreating a new runtime is based on a shell script you have to provide. This way you not only get a plain Lambda but also an API Gateway and Cloudwatch logs set up. I recommend you start by creating a serverless application. Creating a Custom AWS Lambda Runtimeīefore you can start with creating your own runtime you should have a simple Lambda function. As Amazon announced recently, it is now possible to provide your own Runtime for Lambdas. I was curious how Python and Pypy would compare on AWS Lambda. There is just a slight penalty in startup time compared to CPython.
#Lambda startup time code#
It can execute the same code much faster. Where computational performance matters one improvement is to use Pypy, the Python interpreter with a JIT compiler.
In terms of execution speed, there are better choices available. NET class.Python is a great language for the on-demand style of Lambda, where startup time matters.
#Lambda startup time install#
If you haven’t done so already, install the templates.ģ 4 // Assembly attribute to enable the Lambda function's JSON input to be converted into a. The Lambdaīefore I get to the Step Function, I will create the Lambda and the code to run in it.ĪWS has provided templates for. This post will walkthrough everything you need to create the Step Function and schedule the execution of the Lambda. In my tests, the execution takes place within a quarter to a tenth of a second of the specified time. The first is to handle it yourself by setting your job to start at 18:29, then in the code sleep until the exact second.Īnother is to use a Step Function, they let you schedule a Lambda execution up to a year in the future. For many cases, that is fine.īut if you want more precision there are a few approaches. you want something to run tomorrow at 18:30, it will run within a minute of that. One of the most common is to use Event Bridge, but it is granular down to a minute, i.e. There are a few ways to execute a Lambda at a given time with AWS.