aws on Andrés Álvarez

Implementing Rate Limiting in Chalice

Mon, 23 Jan 2023 00:00:00 +0000

Chalice (AWS's Python serverless micro-framework) does not offer built-in support for throttling/rate limiting. In this post I will show you how to implement your own custom rate limiting capabilities for your serverless API.

Troubleshooting Strange AWS Issues

Tue, 07 Aug 2018 00:00:00 +0000

We've all been there. The same things working fine one time but failing other times without any idea why.

This post is a list of troubleshooting strange issues I've encountered when using AWS.

ElasticBeanstalk Failing to Create RDS Security Group

I was having an issue where I couldn't create and attach an RDS database to an ElasticBeanstalk environment because an RDS security group was failing at being created. All this was being done using the AWS console.

Building a Django Continuous Integration and Delivery Pipeline to AWS

Tue, 30 Jan 2018 00:00:00 +0000

Building a CI/CD (Continuous Integration / Continuous Delivery) flow for your web application is a must nowadays. With so many things that can go wrong, and the amount of time and effort the deployment process of an application takes, a flow like this will give you peace of mind that your application is running without (or with less) errors and that your application will be production ready on every new commit to its source code.

In this post I want to talk about building such a pipeline, with emphasis on deploying a Django 1.11 application to AWS ElasticBeanstalk, which is an Amazon service very similar to Heroku. Additionally I will talk about how to include other services to the delivery flow, such as Amazon S3 for storage of static files and Amazon RDS (Relational Database Service) for a relational database that will be connected to our application.

The pipeline will work as follows:

Code will be pushed to source control repository. For this article, I will use Github.
Project will be built and tested in a CI job at TravisCI.
TravisCI will perform a deployment to ElasticBeanstalk once the build passes successfully.

We will be using both the ElasticBeanstalk CLI (ebcli) and the AWS ElasticBeanstalk Console to achieve this.