Building a screenshot serviceīefore diving into the code please make sure you have Node.js and Serverless framework installed along with AWS account configuration. Let’s explore AWS lambda layers by creating a screenshot service using puppeteer. Puppeteer library also contains an entire Chromium browser bundled into the deployment. For example, you may develop an application that will run a browser, navigate to a particular page, click buttons, fill in forms, dump contents, take pictures and many other things. This allows us to write a script that will perform various tasks in the browser. One of the great libraries exposing a high level API for communicating with Chrome or Chromium is Puppeteer. In this post we are going to explore how we can leverage layers to run puppeteer, a Node library commonly used for browser automation tasks on Lambda. By moving runtime dependencies from our function code to a layer, not only we are reducing the overall size of the archive uploaded during a deployment but also leveraging them to reuse shared code & assets across functions. We can include up-to five layers per function, which count towards the standard Lambda deployment size limits. The contents of the layer are extracted to the /opt directory in the execution environment. Lambda layersĪ Lambda layer is an archive containing additional code, such as libraries, dependencies, or even custom run-times. For frequently used dependencies across multiple lambda functions we can use Lambda layers instead of zipping them as part of the build and deployment process. The deployment package can be up to 250 MB (unzipped) or 50 MB (zipped, for direct upload). Lambda allows you to package dependencies together with your code as a zip file. With a pay-for-value billing model, AWS lambda has positioned itself perfectly by enabling us to run code in response to events from over 200 natively-integrated AWS and other SaaS sources. Now serverless computing has redefined the way organizations develop, deploy, and integrate cloud-native applications. Soon other cloud platforms followed suit with offerings like Google Cloud Functions, Azure Functions, IBM Cloud Functions, Cloud flare Workers etc. The serverless ecosystem has matured a lot since AWS announced Lambda (Function as a Service) platform in 2014. Username: 'lum-customer-USERNAME-zone-YOURZONE',Īwait page.One of the main perks of running a piece of code in AWS lambda is that we don’t have to worry about managing the underlying infrastructure.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |