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.

In the quest for a high-velocity development environment, one fundamental question looms large: "How can you ensure an exceptional end-user experience when an array of engineers continually push and deploy code?" The unequivocal answer to this pivotal inquiry lies in the establishment of robust, straightforward, and well-defined monitoring practices.

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.

Fault incidents are inevitable. They occur in any large-scale enterprise IT environment, especially when: In fact, research indicates, more than half (50%) the leaders in tech and business organizations consider the complexity of their data architecture a significant pain point. From an end-user perspective, businesses must overcome complex architecture in order to ensure service delivery and continuity.

Although FireHydrant has spent five years focused on what happens after your team (erg, I mean service 🙄) gets paged, the topic of alerting often comes up in discussions with our community. People are tired of paying big bucks for software that’s expensive, bloated, and hasn’t seen much innovation. Clearly, there’s a problem here – and we’re tackling it head on.