Network automation has become a game-changer for businesses that rely on complex networks. By automating repetitive tasks, companies can improve their network efficiency, reduce human errors, and ultimately save time and costs. That's why network automation tools are becoming essential for companies that want to maintain their competitiveness.

Ever need to visualize the data your working with? storejson() to the rescue! Let’s re-visit our example for sys.os_release from Feature Friday: Special variables: So, we saw the value of a single key, but if we don’t know what keys are available it can be useful to render the JSON representation. The with attribute in combination with storejson() provides a convenient way to visualize the JSON representation of structured data in CFEngine.

Automating the monitoring process for a huge amount of servers, virtual machines, applications, services, private and public clouds is a main driver for users when they decide to use Icinga. In fact, monitoring large environments is not a new demand for us at all. We experienced this challenge in tandem with many corporations for many years.

Businesses heavily rely on IT Service Management (ITSM) platforms to ensure the smooth functioning of critical services. While these platforms offer excellent incident management capabilities—tracking, organizing, and reporting incidents—they often fall short when it comes to fast, reliable resolution. Enter incident resolution automation, a game-changer in optimizing ITSM investments.

I promised more Build modules in my previous monthly Monday module blog post: package-method-winget. And here they are: windows-capability and windows-optional-feature.

Ever want a custom CFEngine Agent logo? Check out agentsvg. You can find agentsvg in core/contrib/ it’s a python script that can generate CFEngine agent logos. In addition to customizing the head and body colors you can customize the arm positions to be up, down, out or angled and the legs can be straight or out Happy Friday!

Today, business leaders around the world, especially those in charge of consumer packaged goods (CPG) companies, are using artificial intelligence (AI) in their distribution networks and supply chain as part of their constant evolution in such a competitive market. Their main objective in leveraging AI is to obtain more precise and efficient demand management, leading to correct and optimal management of inventories, cost reductions and revenue growth.

In the ever-evolving IT landscape, new buzzwords and acronyms seem to emerge almost daily, each promising to revolutionize how we manage technology. One such term that’s gaining traction is Service Orchestration and Automation Platforms (SOAPs). You’ve probably seen the news by now: Gartner just released their latest Magic Quadrant for Service Orchestration and Automation Platforms.