Organizations are constantly faced with the need to adapt and change to stay competitive. AI change management has emerged as a powerful tool to help companies navigate these challenges. By leveraging artificial intelligence (AI) technologies, organizations can streamline their change management processes, improve communication, and drive successful outcomes.

In IT, one metric stands out for its importance in assessing operational efficiency: Mean Time to Repair (MTTR). Why? Because every second counts, and when systems fail, the ability to quickly identify and resolve issues is critical to maintaining business continuity and customer satisfaction.But what exactly is MTTR? How do you calculate it? This article will explore the significance of MTTR, its various definitions, and the challenges and strategies involved in optimizing it.

Accidentally deleting an application is bad, but accidentally deleting all of them is a lot worse. In this post, I show you how to avoid issues like the following: Argo CD finalizers is a built-in Argo CD feature that confuses many new users and can even result in accidental deletion if you’re not careful. If you see a resource managed by Argo CD that was supposed to be deleted but isn’t, then you can almost certainly blame a finalizer.

Apple Business Manager (ABM) is a comprehensive web-based portal designed by Apple to empower organizations in managing their Apple devices, apps, and employee access. With features like Apple automated device enrollment, ABM streamlines device deployment and management, making it easier for IT administrators to configure and secure devices remotely. It serves as a centralized platform where IT administrators can efficiently oversee and control various aspects of their Apple ecosystem.

The Apache Kafka community is pleased to announce the release of Apache Kafka 3.8.0. As a release manager for this version, I want to personally thank all users and the team of 200+ contributors for the release of Apache Kafka 3.8.0. This was truly a community effort to bring new features and improvements to an open source streaming platform used by thousands of organizations worldwide.

As enterprises advance on their cloud/modernization journeys, many teams struggle to achieve full stack observability. These teams are finding that mainframe systems are a ”critical path” for applications that deliver business-critical digital services to customers, partners, and employees.

Every day, employees and leaders of enterprise IT organizations make multiple decisions that affect their company’s success or failure. To stay ahead of the competition and drive innovation, an increasing number of organizations are turning to decision intelligence (DI), a relatively new field combining data science, decision theory and artificial intelligence, to augment and improve decision-making.