Git is an open-source version control system that is used to store code and web content in repositories. Git was designed to facilitate collaborative projects between developers. But leveraging the power of Git via the command line can be challenging to master, so many developers choose to use GUI clients to make using Git commands and actions more visual and simple.

Over the past two decades, adoption of open source software (OSS) among enterprises has become commonplace. In fact, because of the many advantages of open source, it is now almost impossible to find a business that does not rely on OSS. And with the proliferation of modern cloud native apps and microservices, this is only more true. Modern applications are built with open source, and you wouldn’t want to do it any other way.

For the last few years, the entire networking industry has focused on analytics and mining more and more information out of the network. This makes sense because of all the changes in networking over the last decade. Changes like network overlays, public cloud, applications delivered as a service, and containers mean we need to pay attention to much more diverse information out there.

When most professionals hear the term “mobile device management,” they generally assume that an MDM can only remote control company-issued phones. Several years ago, this idea may have been accurate. But as the digital devices in our world have exploded in number, so, too, has the umbrella of what an MDM can remotely control. Now the right MDM can remote control practically any device with a screen and an interface.

Welcome to Open Source Matters, where we cover the latest developments in open source technology. In this special edition, we’re covering 5 open source projects you should consider contributing to in 2023. I’m your host, Ben Lloyd Pearson — now, in no particular order, let’s dive in!

Amazon SageMaker makes it easy to prepare data for machine learning (ML) and then train, deploy, and modify ML models. SageMaker is a fully managed service that automates much of the ML lifecycle. So, if you want a single partner to help you through all stages of your Artificial Intelligence (AI) lifecycle, SageMaker might be the answer. Perhaps more important for this post is the promise that Amazon SageMaker can reduce your machine learning model costs. But does SageMaker pricing reflect this?