Welcome to the 7th edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.

This article predominantly talks about testing as a distinct career option in data science and machine learning (ML). It gives a brief on testing workflows and process. It also depicts the expertise and top-level skills a tester needs to possess in order to test a ML application.

Mattermost v6.4 is generally available today and includes the following new features (see changelog for more details).

The right tools enable your team to ship amazing code quickly. But between building, deploying, testing, monitoring, and maintaining software, all those great tools can create a lot of stuff to keep track of. Luckily, there’s a solution to this problem: ChatOps. ChatOps is a collective approach to running DevOps workflows and building a collaborative team culture.

Plugins can help teams unlock the full potential of Mattermost, but they aren’t always ready to go out of the box. Learn how Chimera streamlines plugin configuration via an OAuth2 Proxy. One of the best aspects of any software offered in the Cloud is the ability to start using it in just a matter of minutes. The same is true for the Mattermost Cloud offering.

According to research by Connecting Software, Fortune 1000 firms spend 40% of their IT budget on their Integration Infrastructure.

Today, I would like to simplify the technical advantage that Nastel Technologies offers its clients. In a nutshell, Nastel is the leader in i2M (Integration Infrastructure Management) by managing a multi-middleware-platform infrastructure (MQ, Tibco, Kafka, Solace, …) from one interface.

It’s 2022: You’re good at your job, you’re maintaining modern systems, now you want to level up your team based on a solid foundation of their collective expertise. You want to standardize and centralize process documentation and make execution as easy and effective as possible so that everything runs smoothly, every time.