Operations | Monitoring | ITSM | DevOps | Cloud

Mattermost v7.2 is generally available today. The following new features are included (see changelog for more details).

Implemented well, automation can be a powerful tool for accelerating and scaling DevOps processes to keep your team building and shipping code quickly. But knowing what and how to automate DevOps workflows can be challenging; every organization’s DevOps practices are unique, and there’s no one “right” way to approach automation. Let’s look at a few tips for approaching DevOps workflow automation to help your team move faster.

Welcome to the August 2022 edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.

Your team has worked hard on a software product for months, and it’s finally ready to release to your users! But then the worst-case scenario happens: a wide release soon indicates that the software is plagued with bugs and performance issues, resulting in poor reviews and widespread user dissatisfaction.

In this article, I’ll provide a guide to Git for non-developers. So, if you are reading this as a full experienced Git user, you may disagree with some of my statements. Don’t bother reading on; we recognize you as the expert! If, on the other hand, you’re new to Git, this piece is for you.

Upgrading your Mattermost server involves a bit of research, preparation, and downtime. The pressure to keep your Mattermost instance healthy and reduce downtime for a core system within your organization can be intimidating. Recently, we worked with a handful of customers who were experiencing issues upgrading from Mattermost v5.37 and v5.39 to v6.x. Unfortunately, migration scripts were required to make significant database changes, and there was an issue in product performance.

GitHub is one of the most popular source control platforms available. It relies on Git concepts, and millions of developers use it. GitHub Actions embrace all aspects of what source control needs, such as branching, pull requests, feature flags, and versioning. It also integrates nicely into third-party continuous integration and continuous development (CI/CD) pipelines or deployment tools like Azure DevOps, Jenkins, GitLab, and Octopus Deploy.

Distributed systems open us up to myriad complexities due to their microservices architecture. There are always little problems that arise in the system. Therefore, engineering teams must be able to determine how to prioritize the challenges. Viewing logs and metrics of such systems enables engineers to know the shared state of the system components, thereby informing the decision-making on what challenge needs to be solved most immediately.

Mattermost v7.1 (Extended Support Release) is generally available today. The following new features are included (see changelog for more details).

When the first supporting server-side infrastructure for Collapsed Reply Threads (CRT) shipped with Mattermost v5.29 (November 2020), it included an ominous release note: > This setting is enabled by default and may affect server performance. While performance concerns are possible with any new feature, most features don’t require significant architecture and data model changes. Most features don’t ship incrementally across 20 monthly releases. And most features – to their credit?