The consequences of not patching are everywhere: remember the Log4j vulnerability that grants hackers complete access to your devices? The best way to prevent this from happening is to use a patched version of Log4j — so why did this become a catastrophic and prolific security vulnerability event? A: Because people hate, forget, or simply dismiss patching as a labor-intensive part of managing their infrastructure.

Ah, RPA—the new-wave miracle cure for mundane tasks, cost-cutting, and boosting efficiency. Robotic Process Automation (RPA) is hailed as a game changer for businesses looking to streamline operations and improve efficiency. By automating repetitive and mundane tasks, RPA allows employees to focus on more strategic, value-added activities. Yet, as anyone who’s ventured into its world knows, implementing RPA isn’t all sunshine and rainbows.

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.

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.