How To Debug AWS Lambda: A Detailed Overview

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • lambda-local

    Commandline tool to run Amazon Lambda function on local machines.

  • Using Node, and no framework currently? Try lambda-local.

  • aws-embedded-metrics-node

    Amazon CloudWatch Embedded Metric Format Client Library

  • You can use metrics to aid debugging by adding them to your dashboards that we talked about earlier. It’s also possible to add custom metrics, and there are many libraries and tools (e.g. node, python, etc) which can help you do this.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

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  • serverless-offline

    Emulate AWS λ and API Gateway locally when developing your Serverless project

  • Using Serverless Framework? Try Serverless Offline.

  • docker-lambda

    Discontinued Docker images and test runners that replicate the live AWS Lambda environment

  • Want to emulate AWS environments? Try docker-lambda.

  • supertest

    🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.

  • Integration tests — Lastly is the integration test. Integration testing should test the integrations between your AWS Lambda and other systems or components. If you’re making a HTTP API, then testing using HTTP requests would be a good integration test. My library of choice for Node.JS is Supertest.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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