Operations | Monitoring | ITSM | DevOps | Cloud

As part of our best practices Kelverion always recommends having a test automation platform. There are several reasons explained below why Kelverion recommends customers have a test environment. We know it takes a little bit of time and resources, but it truly can be a safe zone that allows you to test and grow your IT automation processes. Let’s explore some of the most common reasons.

Did you know bundles can have tags too? That’s right! You can tag a bundle by defining tags as a meta promise on a bundle. For example: You’ve likely encountered bundles tagged with autorun. These tags trigger automatic execution of bundles in lexical order whenever the services_autorun class is defined. However, you’re not limited to autorun. You can create custom tags to suite your specific needs.

For any company to achieve a successful with automation project, it is more than just identifying the right automation tooling. This article discusses key areas that should be considered before embarking on an automation journey.

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

Computing environments are more dynamic, distributed, and complex than ever. Observability tools help collect, monitor, and interpret the data they generate — like logs, metrics, and traces — to give IT teams and leaders real-time insights that can help detect issues, troubleshoot solutions, and improve the reliability of their IT systems. But observability tools can’t do their job without a strong infrastructure foundation and the right tools to manage it.

End-of-day (EOD) processing is a vital routine for retail businesses, encompassing a series of essential tasks that ensure seamless store operations. At the close of each business day, various systems must reconcile transactions, update inventory, process sales data, and generate reports. These activities are crucial for maintaining accurate financial records, optimizing stock levels, and preparing for the next business day.

Did you know you can find variables by name and tag? Like the ability to find currently defined classes (as described in Feature Friday #13: classesmatching()) that match a name or tag, you can find variables by name and tag. It’s a nifty capability. variablesmatching() returns a list of variable names that match the name and tag criteria.1 variablesmatching_as_data() returns a data container of the matching variables along with their values2.