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The developer landscape has dramatically changed in recent years. It used to be fairly common for us developers to run all of our tools (databases, web servers, development IDEs…) on our own machines, but cloud services such as GitHub, MongoDB Atlas and AWS Lambda are drastically changing the game. They make it increasingly easier for developers to write and run code anywhere and on any device with no (or very few) dependencies.
A few years ago, if you crashed your machine, lost it or simply ran out of power, it would have probably taken you a few days before you got a new machine back up and running with everything you need properly set up and configured the way it previously was.
With developer tools in the cloud, you can now switch from one laptop to another with minimal disruption. However, it doesn’t mean everything is rosy. Writing and debugging code in the cloud is still challenging; as developers, we know that having a local development environment, although more lightweight, is still very valuable.
And that’s exactly what I’ll try to show you in this blog post: how to easily integrate an AWS Lambda Node.js function with a MongoDB database hosted in MongoDB Atlas, the DBaaS (database as a service) for MongoDB. More specifically, we’ll write a simple Lambda function that creates a single document in a collection stored in a MongoDB Atlas database. I’ll guide you through this tutorial step-by-step, and you should be done with it in less than an hour.
Let’s start with the necessary requirements to get you up and running:
Now that you know about the requirements, let’s talk about the specific steps we’ll take to write, test and deploy our Lambda function:
Continue reading %Serverless development with Node.js, AWS Lambda and MongoDB Atlas%
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