Using CodeArtifact with Poetry
In my last post I discussed how an artifact server is the best way to publish locally-developed Python packages. In this post, I show you how to set up the AWS CodeArtifact service and use it with pip and Poetry.
In my last post I discussed how an artifact server is the best way to publish locally-developed Python packages. In this post, I show you how to set up the AWS CodeArtifact service and use it with pip and Poetry.
Coming from a Java background, I consider the Python development process to be a bit of a mess. The pieces are all there: a central repository for publicly-available packages, a way to install the packages you want, and several ways to run your program with only those packages. But it seems that everybody has a different way to combine those pieces. So when a colleague introduced me to Poetry, my first reaction was “oh great, another tool that solves part of my problem.” But after spending time with it, I don’t want to build Lambdas any other way.
Different numbers of availability zones are appropriate for different workloads. This post helps you pick an appropriate number for your needs.
“Traditional” deployment patterns separate the application from its infrastructure. Lambda deployments turn this model on its head, binding the infrastructure tightly to the running code. This can be a challenge, especially when developing in a team: it is all too easy for one developer to accidentally overwrite another’s work. In this post I look at several deployment options, and how they impact a development team.
In my last post, I looked at how you could package your Lambda as a Docker image. In this post, I show how you can use the base Amazon images to build a “traditional” Lambda and ensure that it has libraries that are appropriate for the Lambda runtime environment.
Lambda Container Images were announced at re:Invent 2020, providing a new way to build and deploy Lambda functions. They arrived just in time to solve an annoying build problem for…
A while back, I wrote a post entitled Using The AWS CDK In Real Life. It was educational, but running Zoneminder on AWS is pretty expensive, and probably isn’t a good idea…
Today, Tracey Welson-Rossman and Sue Spolan chat with Susan Springsteen, the President of H2O Connected, LLC. H2O Connected is an IoT solution that gives property managers immediate insights into their toilet systems to detect leaks, monitor activity, prioritize repairs, get flooding alerts, and more.
In this 45 minute talk, Ken Rimple gives a quick overview of AWS CodeBuild, then dives into a few of the challenges he’s faced, from dealing with build errors properly, configuring CodeBuild to run inside of AWS, testing locally so you don’t go crazy waiting for 15 minutes each time you deploy a new build, how to properly access your build artifacts and reports, running tools like Cypress, to building and deploying Docker containers to ECS, and more.
Amazon Web Services (AWS) is a collection of nearly 200 services. They can be intimidating to the newcomer, and offer many opportunities for mistakes: some expensive, some just inconvenient. In this Lunch and Learn, our panel of AWS experts look at some of the mistakes they made, and how these could have been avoided.
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