I recently spent quite a bit of time setting up an Amazon Elastic Container Service cluster on AWS. Creating all the required resources from scratch was a bit more involved than I’d hope for so it left me wondering if there was a better way for developers who want on-demand containers without having to set up and manage the networking infrastructure and resources required to start working with ECS.

As part of my new job I recently published a detailed guide on connecting a Raspberry Pi to AWS IoT Core. If you’d like to learn more about setting up hardware like a Raspberry Pi and options for securing connections between IoT devices and AWS then check it out!

I’m excited to announce that I have not one but TWO new Pluralsight courses! Both Collecting Data on AWS and Storing Data on AWS are now available on Pluralsight!

Serverless development can speed up your development process a lot by moving infrastructure responsibilities over to cloud providers. However, when testing your application, it can be a challenge to mimic all the cloud services you’re relying on.

One useful tool to help do this when you’re writing Python code is moto. In this post, I’ll show you how to use the moto module in combination with pytest to help test your Python code when it interacts with AWS services like DynamoDB, S3 and others.

I recently created a project aimed at collecting the stories of people impacted by the COVID-19 pandemic called Voices of COVID. This project is designed to collect audio stories from people impacted by the pandemic and make them searchable. For more about the motivation behind it you can review this post. But for now, let’s look at how it’s put together!