By breaking down the silos between observability, IT operations, and service management, teams can improve service delivery and enhance IT incident management. However, this is more easily said than done. The average BigPanda customer uses more than 20 observability and monitoring data sources. Combining mountains of alert data with legacy event management systems can make it almost impossible to sift through the noise to find the most important alerts.

There is immense pressure on IT. Now more than ever, IT teams bear the brunt of the seismic shift in how people live and work. Delivering service quality while driving innovation is imperative. Yet, IT teams are continually fighting outage fires, managing day-to-day events, updating legacy systems, and navigating IT complexity – while trying to innovate. AIOps and cloud computing sought to address these challenges.

AIOps and Observability Market is set to catapult with the advent of Generative AI and as per the recent Cisco article Observability is soon set-to-be a $34 billion market opportunity and CloudFabrix plays a vital role in this evolving landscape as it seamlessly integrates AIOps, Observability, and GenAI to offer a comprehensive solution that enhances IT Operations and drives industry-specific innovations.

Advances in generative AI are rapidly transforming the IT operations landscape. According to Enterprise Strategy Group, 85% of organizations use or plan to deploy AI across many functional areas, including ITOps. AIOps platforms can apply advanced GenAI to quickly identify an incident’s root cause, impact, and recommend steps to resolution. When fed the correct information, AIOps gives IT teams immediate access to context-rich insights.

When service outages happen, the clock starts ticking, not only to restore that service, but also to identify and fix the root cause so the problem doesn’t recur again and again. However, root cause analysis (RCA) can be exceptionally time-consuming for IT teams tasked with combing through massive log files for clues about the underlying problem.

The term “unknown unknowns” refers to problems or vulnerabilities that have not yet been identified or anticipated. Unlike known issues, which can be addressed with existing knowledge and tools, unknown unknowns require a different approach to detection and resolution. These hidden issues are often beneath the surface, only becoming apparent when they cause significant disruption.

You might have noticed that we released a series of AI-supported features last year. Intelligent alert grouping, developed to reduce alert fatigue, is the icing on the cake. ‍ With it, we combined all ilert AI features in a new powerful add-on that aims to reduce stress and give more clarity during IT incidents.

Global organizations are having increasingly critical discussions around the importance of cyber resiliency, an organization’s ability to withstand, respond to, and recover from cyber incidents. With the frequency of cyberattacks growing 30% since last year and the total estimated fallout of cyber 2024 cyberattacks charted to surpass $9.5 trillion, ensuring effective cyber hygiene and resiliency strategies is more important than ever.