![]() In our case however, we stuffing an entire Django app inside a Lambda function, including for example, Django’s routing functionality. But, it works, so no worries! A typical Lambda function (by the strict “micro-services architecture” definition) performs a single, atomic function. Note: Zappa seriously pushes the boundaries of what Lambda functions are intended to do. However, there are useful dashboard deployment metrics that you’ll definitely want to take a closer look at. Actually, once deployed, the source code of your Django app will be too large to view with Lambda’s online code editor tools. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.īetter still, Zappa fully manages the single Lambda function onto which our Django app will be deployed. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. There is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service – all with zero administration. In the case of Zappa however, we’re really only using API Gateway as a simple wrapper for the entire Django app, such that all inbound http requests pass through a comparatively simple API Gateway resources that blindly forwards everything to Lambda to be further evaluated.ĪWS Lambda lets you run code without provisioning or managing servers, and you pay only for the compute time you consume. The general idea behind API Gateway is that you’ll implement say, a REST api, one resource at a time, and in each case using API Gateway tools to define the resource name, its features and behavior, and the internal AWS resources with which it interacts. It’s worth noting that Zappa pushes the boundaries of the intended API Gateway use case. See the screen shot below as a reference. Also, you’ll need to make some minor configuration changes after deployment if you want to use a vanity URL as I’ve done in the case of bodycalc.io. ![]() Zappa will fully manage the API Gateway resources for this tutorial, so I’m mostly including this in the article just to make you aware that API Gateway will become part of your architecture so that you know to take a closer look at after you’ve deployed. Just copy/paste the text of the policy into the screen you see below. You can use a copy of this policy as a reference. To manage the myriad permissions surrounding the deployment, you’ll need to create a custom IAM policy and then assign this custom policy to an IAM user that has “Programatic Access”. ![]() Zappa will use the AWS Command-line Interface (CLI) to deploy your Django app to AWS. This is helpful because Python, Django, Zappa and AWS CLI require this method of access. ![]() IAM allows you to issue text security keys as an alternative to user names and passwords. We’ll be using IAM exclusively to manage access and permissions for all of the AWS services referenced in this tutorial even in cases like MySQL where an alternative native security scheme already exists. Identity Access Management (IAM) is AWS’ internal role-based security model. Security is always a challenge, but especially so within cloud infrastructure environments like AWS because the services can be literally scattered around the world.
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