Tutorials on Django

Disclaimer - Please read the first part of this blog post here before proceeding. It walkthrough the initial steps of creating a VPC with two subnets, one private and one public, to restrict access of the RDS database to the deployed Lambda function within the same network. AWS Relational Database Service (RDS) is an AWS cloud computing solution that enables developers to quickly provision, deploy and scale popular relational databases, such as PostgreSQL, on reliable infrastructure. To create an RDS instance, visit the Amazon RDS console and click on the "Create database" button.

Serverless computing revolutionizes cloud infrastructure by having developers provision services and define resource demands with code rather than manually configuring hardware from scratch. Designing an application around a serverless architecture and workflow not only saves development time, but also drives down costs for scaling and operation expenses. Cloud computing platforms, such as Amazon Web Services (AWS), offer and maintain a plethora of serverless computing services to automate basic tasks and allow developers to deploy new services quickly. With AWS Lambda, instead of routing all incoming requests to a single server instance that hosts multiple API endpoints, we can distribute these endpoints across many functions. Since each function runs its own container, different functions can be allocated different amounts of memory and CPU power depending on the function's needs. Coupled with spinning up containers only in response to events and keeping them idle during inactivity (not online 24/7 like a traditional server), the savings compound exponentially while still serving end users. Regardless of traffic volume, AWS Lambda automatically creates instances of your function to meet this demand and only charges you for the function's run time and the total number of times it is invoked (per 1 million requests). The fact that AWS manages this entire infrastructure layer (e.g., system patches, security updates, etc.) by itself lets developers focus more on their own infrastructure. AWS Lambda provides runtimes to support various languages, such as Python and Java. There are many open-source libraries and utilities available for developing, deploying and securing serverless applications. For Python applications, Zappa makes the deployment process to a serverless environment simple via several built-in CLI utilities and a zappa_settings.json configuration file. Whether you want to deploy small microservices written with a framework like Flask , or large web applications written with a framework like Django , Zappa handles the deployment the same way without any additional framework-specific configuration.

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I'm going to show you how to set up your Django app to respond to S3 events on AWS Lambda. The tool we're using to get Django running on AWS Lambda is Zappa . Follow along to see how responding to events works with this setup. ... When running your Django app on AWS Lambda using Zappa, it's easy to send and receive events from other AWS services . Zappa lets you get events from: