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In a world where AI and automation are redefining enterprise IT, there’s one harsh truth that often gets overlooked: most automation initiatives fail before they begin. Not because the technology isn’t ready, but because the strategy isn’t. Too often, teams fall into well-worn traps—automation anti-patterns—that stall progress, waste resources, and fail to deliver meaningful impact. Let’s call them what they are: automation mistakes.

Disclaimer: This post focuses on Debian-based and Fedora\/RHEL-based distributions and packaging. Everybody using a GNU/Linux distribution most likely knows that packages used by the given distribution are somehow signed and such signatures are somehow verified. Usually, this knowledge comes with the first requirement to import some key when an extra package repository is being added to the system (the standard repositories of a distribution use keys that are present and trusted by default).

Business process automation no longer sits on the sidelines. What was once an emerging technology is now the engine behind modern business operations. In fact, around 60% of companies already use automation tools in their workflows, according to Duke University. This is not just companies — developers are also contributing to this shift by adopting low-code, no-code, and digital process automation platforms. These new tools remove barriers that once slowed innovation.

The software supply chain has become the backbone of modern IT environments. It powers applications, underpins operational processes, and drives innovation within organizations across industries. Securing the software supply chain has moved from a peripheral concern to a central element of cybersecurity: The vast network of code, dependencies, integrations, and third-party tools that comprise the supply chain is increasingly under siege from cyber threats and at risk of exploitation.

Take our maturity quiz today and see where your automation maturity stacks up! Let’s call a spade a spade: Automation isn’t just a “nice to have” anymore. Automation is business-critical for speed, scalability, and resilience. It’s a mechanism of survival in today’s hyper-modern state of business. But the reality is that not every team is on the same page when it comes to automation.

In today’s era of AI-powered transformation, the excitement around automation is palpable. Technology leaders race to deploy AI agents, build self-healing systems, and create digital environments that seem almost magical in their seamlessness. But amid all the buzz about automation and efficiency, it’s crucial we don’t lose sight of the most powerful force behind any successful transformation: people.

Let's face it: no one likes patching. For some IT ops teams, it's such a burden that it's easy to forget why patching is important. Lots of teams put off patching until it's deemed absolutely necessary, like a vital app update or a piece of critical software going EOL. We all know ignoring patches, or letting them pile up, is a bad practice. Read this blog to remind yourself why patching is crucial, what can happen if you don't patch, and how to stop putting it off.

The automation era brought speed. The AI era brings judgment. And now, a new chapter is unfolding—one where infrastructure no longer waits for human instruction but instead governs itself. We’re entering the age of AI-governed infrastructure, the natural evolution of AI operations management. It’s not about replacing people; it’s about eliminating inefficiency, unlocking resilience, and empowering IT systems to heal, respond, and optimize on their own.

In the fast-moving world of IT operations, Gartner’s research provides critical insight into where the market is heading, and which vendors are leading the charge. In the past year, Resolve earned three powerful validations of its innovation and impact: These distinctions reflect more than technical capabilities. They reinforce Resolve’s mission to drive a new era of intelligent, autonomous IT orchestration through agentic automation.