Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on AIOps, alerting in complex systems and related technologies.

Observability Is Now a Boardroom Priority Even If Nobody Wants to Say It Out Loud

Executives rarely state the full truth publicly, but inside boardrooms the conversation has changed. Observability, once viewed as a technical capability deep within operations, has become a strategic requirement for understanding business performance. Leaders may not always use the term itself, yet they focus intensely on the outcomes it promises. Their environments have grown too fast, too fragmented, and too interdependent for traditional visibility approaches to keep pace.

Why This Fortune 500 Chose Agentic AI Over Traditional AIOps

What does real enterprise-ready Agentic AI look like in production? In this video, we break down how a Fortune 500 enterprise used Fabrix.ai’s Agentic AI platform to detect, diagnose, and resolve a critical application issue in just 5 minutes—without moving their data or replacing existing tools. If you're exploring Agentic AI, AIOps, or enterprise automation, this is a must-watch.

Resolve's Agents of IT podcast - Ep. 15 - Nora Osman, CEO of Norvana

What separates average IT support from truly exceptional service? In this episode of Agents of IT, Ari Stowe sits down with Nora Osman, CEO of Norvana, to unpack how the best organizations are transforming service delivery by combining AI, automation, and human empathy. Nora shares real-world lessons from leading large-scale service transformations, including how a simple shift in perspective turned a struggling service desk into a high-performing customer experience engine. Her approach is clear. Technology alone is not enough. You need context, empathy, and purpose.

Incident correlation: Cross-domain visibility. Smarter triage. Faster L1 teams.

IT incidents are rarely isolated. A network disruption can trigger degradations in infrastructure, which can ripple and cause application errors and end up causing a flood of user complaints. When an L1 operator looks at a single incident, they see only part of the story. Outside their immediate scope, other incidents are actively occurring that are either directly related or impacted by the same underlying cause. Without broader visibility, there is no way to know.

The Hidden Tax of Complexity: Why Modern Environments Cost More Than Leaders Realize

Enterprises rarely notice the moment complexity begins to reshape their environment. Growth initiatives move forward. New cloud services are adopted. Modernization programs introduce new architectures. Business units implement tools that solve immediate problems. Acquisitions add their own ecosystems. Each change is logical in isolation. The cumulative effect becomes something else entirely.
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The AI Readiness Paradox: The Agentic Value Gap And The Agentic Operational Model

The disconnect between enterprise confidence and AI capability is real. MIT reports fewer than 5% of enterprises have achieved measurable ROI from AI, yet Cisco claims 13% feel ready. The gap isn’t about AI technology—it’s about organizational rigidity and change management. More importantly, most studies focus on business intelligence rather than operational use cases, which are far less risky and more measurable.

Resolve's Zero Ticket Minute - Ep. 15 #agenticai #itautomation #aiautomation

Agentic AI can act, decide, and resolve on its own. Powerful, but it comes with real risk. Without the right guardrails, autonomy can lead to data exposure, compliance issues, and unintended actions at scale. This episode shows how to keep control with governed, deterministic automation.

Resolve Reels - Ep. 1 - The Agentic API Caller

What if you could go from request to result, instantly? No workflows to build. No APIs to chain. Just describe what you need. Resolve handles the rest. It selects the APIs, orchestrates the steps, and delivers the outcome in real time. This is agentic automation in action. Welcome to the Autonomous Enterprise. Watch now and see it in action#AgenticAI.

The Cognitive Ceiling: Why Modern Environments Outgrew Human Interpretation

For more than a decade, organizations invested in tools and telemetry with the belief that more visibility would create more control. Monitoring expanded across cloud, application, network, and infrastructure layers. Observability platforms entered the mainstream. Automation tools promised faster detection and improved coordination. Yet despite these advancements, incidents are not easier to understand. War rooms still fill with conflicting interpretations. Signals generate more questions than answers.