In an era defined by rapid technological advancements and complex digital infrastructures, implementing advanced capabilities is how IT leaders stay ahead of the curve. We are at the forefront of this revolution, continuously evolving to meet and exceed the demands of modern IT landscapes. Today, we are thrilled to announce a series of innovative features and capabilities designed to transform how organizations manage and optimize their digital environments.

Imagine a world where IT systems hum along, proactively detecting and resolving issues before they turn into full-blown outages. No frantic fire drills, no late-night heroics, just seamless self-healing powered by automation. It’s the siren song of self-healing IT systems, beckoning every enterprise ITOps team. Despite the allure of streamlined incident response workflows, many attempts at IT automation sink before they can swim.

In digital transactions, even the slightest hiccup can ripple through the system, causing significant disruptions. Our recent encounter with an unexpected system slowdown and a noticeable drop in transaction success rates is a testament to the intricate balance required to maintain seamless operations. This post aims to shed light on the incident, our findings, and the measures we’ve taken to fortify our system against future disturbances.

The main challenges in IT operations are ever-increasing complexity, diverse technologies, the relentless pace of change, and the need for a skilled team that can keep in step with the never-ending evolution of technology. Traditional approaches to IT operations struggled to keep up with the sheer volume of data, incidents, and the dynamic nature of modern IT environments.

Are you trying to streamline your sluggish ITIL incident management? Maybe you’re facing challenges with incident routing, lengthy resolution times, or inconsistent team communication. If so, the IT Infrastructure Library (ITIL) can help you improve IT reliability and incident resolution. This blog unveils the secrets to optimizing your ITIL incident management processes to take your incident response from slow to stellar.

Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, “Data-centric AI is the discipline of systematically engineering data to build an AI system.”

Zenoss Chief Product Officer Trent Fitz was recently featured on the “Future Tech and Foresight” podcast with host Marc Verbenkov. On the podcast, Trent unraveled the complexities and indispensable role of AI in modern IT operations, which is reshaping the landscape of technology across industries.

In the dynamic environment of core banking systems, maintaining seamless operations is crucial. However, unforeseen complications can arise, leading to critical incidents that demand immediate and effective resolution. A recent incident involving an application patch malfunction presents a compelling study on the intricacies of managing and resolving system anomalies in real-time.

IT downtime is no doubt a costly business. As soon as service starts to degrade, companies start to lose money. Studies by Gartner and IBM show that the average cost of unplanned downtime to enterprises ranges between a staggering $5,600 and $9,000 per minute. For ecommerce businesses, like Amazon, the stakes are even higher, potentially resulting in a loss of up to $220,000 for every minute of downtime.