Tech companies face a daunting challenge: a staggering 90% of their IT teams are stuck doing mundane, repetitive tasks, leaving only 10% to focus on strategic innovation. Companies know that automation is the solution to these repetitive, low-level incident response actions; however, many need support to begin automating.

IT incident management aims to swiftly identify, address, and resolve IT disruptions to restore normal service operations. Tracking IT incident management key performance indicators (KPIs) is a vital step toward minimizing disruptions for customers and users. But there are several different KPI and metrics choices, and it’s not easy to identify the right ones that can drive meaningful improvements in incident management.

The adoption of AIOps monitoring technologies has been somewhat slower in EUC than many other areas of IT. The legacy VDI and DaaS vendor tools set expectations low for many. It is still relatively common for us to come across potential customers who are using legacy tools and manually exporting 6 months of data into an excel spreadsheet to try and work out average and peak usage of resources such as CPU to then manually calculate alert thresholds.

Mean Time to Resolution (MTTR) is a key performance indicator (KPI) that measures the average duration needed to restore normal operation for an application, service or piece of infrastructure component. Your MTTR directly impacts customer satisfaction, so you must have a keen understanding how it influences the reliability and availability of your services and applications to make informed decisions, enable operational efficiency, and ensure a seamless customer experience.

Have you ever wondered about your IT team’s efficiency in detecting incidents? Your Mean Time to Detect (MTTD) is an incident management Key Performance Indicator (KPI) that reveals your productivity during the first stage of incident resolution and enables investigation into opportunities for improvement. ITOps and DevOps teams that can lower their MTTD can more quickly identify issues, minimize potential downtime, and maintain system reliability too.

A wise person once said, “What’s measured is what matters.” This couldn’t be more true than in the high-stakes world of IT operations, where the ability to swiftly measure, analyze, and respond to events is crucial for improving IT operational performance. This blog delves into defining IT event analytics, guiding you on getting started, showcasing real-world examples, and introducing essential methods to transforming your incident response strategy.

Constantly juggling IT incidents can be exhausting as you try to track and resolve them before they escalate into disruptions. With each incident demanding prompt and precise attention, keeping up takes significant work. However, you can manage these challenges more efficiently and with less stress and less risk by optimizing your incident-tracking process.

Your device pings, signaling another tech alert. Before you can address it, two more chime in. We all know the feeling. In today’s digital world, it’s easy to feel overwhelmed by the sheer number of notifications we receive. But what if there was a smarter way to handle them?