Though organizations are projected to pump $4.4 trillion into IT spending this year, the supply of developer talent has struggled to keep pace, and many companies are having a hard time hiring workers. This is due to the fact that today’s top-performing developers understand their value and are increasingly asking for more money and better benefits when considering job offers.

Your release management process is one of the most critical processes in your organization’s toolkit. An excellent release management process can accelerate software release workflows, allowing your team to deliver software consistently and predictably and ensuring that your customers have an optimal brand experience. But release processes can have weaknesses that slow your team down and can even introduce risk to every release.

Welcome to the November 2022 edition of Open Source Matters where we cover the latest news in open source technology. I’m your host, Ben Lloyd Pearson, let’s dive in.

Playbooks aim to be a super-powered checklist for repetitive tasks. Before you can get to the “super-powered checklist,” though, you need to identify the process that you’ll use to build your first playbook and create a structured process as a Playbook checklist. Let’s go on that journey today.

Do you have an application built with Django and PostgreSQL that you’d like to run on Kubernetes? If so, you’re in luck! In this tutorial, you’ll learn how to orchestrate your Django application with Kubernetes. Since we’re working with multiple microservices, it can be difficult to ensure all parts work together. This tutorial will demystify all that.

Mattermost v7.4 is generally available today. The following new features are included (see changelog for more details).

Digital data is everywhere, and its sheer volume and ambiguity often make it challenging for us humans to analyze. That’s why we use a special branch of AI called artificial intelligence for IT operations (AIOps) to reveal the deeper structure of copious data. AIOps sits at the intersection of big data and machine learning to improve the efficiency of IT operations.