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Download puppeteer docker for free2/1/2024 I'm keeping my lambda functions pretty simple with a couple of log statements. We also install the package as a dev dependency for getting type definitions of aws-lambda Lambda function We're going to use TypeScript for writing our lambda function and we're going to install esbuild (as dev dependency) to convert our typescript code to javascript code. Create a new folder and initialize the project mkdir docker-lambda We're going to use nodejs framework in this example. Lambda function: This lambda function will refer to the image in the ECR repositoryĮventbridge Rule: We'll create an event bridge rule to create a schedule so that lambda can be triggered periodically based on the schedule. GitHub CI/CD Pipeline: Whenever code is pushed into the remote branch, we want the GitHub workflow to run which in turn will build and push the image to the AWS ECR repository We'll be creating DockerFile in this repository so that we can package the code as docker image Lambda function code: This is where your application logic resides. Architectureīelow is the high-level architecture diagram of the simple application that we're going to build in this article But if your package exceeds that limit, you can make use of docker containers as the maximum size of a docker image is 10GB.Įven though you're running docker containers in lambda, still you need to implement lambda API and the restriction of a maximum of 15 minutes of the execution time of lambda still applies. As you may know, the maximum size of packaged lambda is 250 MB. Sometimes, your lambda function may require a huge number of dependencies or dependencies with large sizes. The Python version of this article is available here Before discussing how to do that, let us discuss the need of running the lambda using docker. In this article, you're going to learn about how to run docker containers in AWS Lambda. Download the free ebook on AWS Lambda here
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