Operations | Monitoring | ITSM | DevOps | Cloud

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

How Agentic AIOps & Autonomous IT Are Revolutionizing IT Operations | LogicMonitor + IBM

Discover how LogicMonitor and IBM, alongside Edwin AI, are transforming modern IT operations. In this panel discussion, Garth Fort (Chief Product Officer at LogicMonitor) and industry experts break down how businesses are moving past basic observability to embrace self-healing automation and autonomous IT across complex hybrid environments.

Why AI agents need a job description | The future of agentic AI in IT

An AI agent is only as useful as the job you can safely hand it. In this Zero Ticket Minute, Ian Coppock, Resolve Customer & Partner Marketing Manager, breaks down why enterprise AI is moving toward purpose-built agents with defined roles, scoped permissions, and real guardrails. That is the foundation for autonomous IT operations and Zero Ticket IT. Subscribe for weekly insights on AI, IT automation, and where enterprise operations are heading.

Skylar Advisor Guided Walkthrough

Learn how Skylar Advisor helps IT operations teams move beyond monitoring to AI-driven operational intelligence. In this walkthrough, you'll see how Skylar Advisor helps operators investigate issues, identify meaningful operational risks, collaborate more effectively, and predict potential problems before they impact services. In this video you'll discover Skylar Advisors key features like: By combining Ask Skylar, investigations, advisories, and predictions, Skylar Advisor helps IT teams reduce noise, focus on what matters most, and proactively improve service reliability.

Build an SRE Agent Harness for AIOps Without Context Blowout

An agent harness for AIOps is the runtime layer that coding agents like Claude Code were never built to provide: context isolation, decision traceability, and gated execution for tools that touch production. Aura is Mezmo's open-source (Apache 2.0) agent harness, purpose-built for operations work rather than software development.

How to Build Enterprise AI Agents with Natural Language | Agent Lab Demo, Guardrails & AI Skills

Most enterprise AI agents take weeks to build. This one takes minutes. Watch how Agent Lab creates purpose-built agents with natural language, adds reusable skills, and sets guardrails before anything ships. From idea to production-ready in a single sitting.

From Alerting to Assurance: Why Proactive Operations Define Trust at Scale

There’s a difference between seeing a problem and preventing one is not a question of tooling. It is a question of operational posture. Across eleven operator interviews at Nexus Live, a consistent pattern emerged. Teams are not struggling because they lack visibility. They are struggling because visibility alone does not produce confidence. Alert floods, late root cause discovery, and 3am escalations have become normalized in hybrid environments. The result is not just fatigue.

Introducing the BigPanda AI Incident Assistant

AI incident assistant from BigPanda gives L2, L3, and SRE teams instant answers to resolve incidents faster without manual triage or tool-switching. IT teams lose critical minutes during incidents because context is scattered across Slack threads, bridge calls, monitoring tools, and historical tickets. The BigPanda AI Incident Assistant fixes that by surfacing relevant knowledge exactly when and where responders need it. It gives responders evidence-based resolution paths drawn from historical incidents and live system data, without leaving your workflows.

Introducing AI Incident Prevention from BigPanda

AI Incident Prevention from BigPanda stops change-related outages before they occur by leveraging risk scores, trend analysis, and guided remediation steps. Manual IT changes are still a leading cause of IT outages and disruptions. BigPanda AI Incident Prevention addresses this by automatically scoring change requests against historical data, flagging high-risk changes before they go live, and surfacing the recurring problems that cause service degradation.

New in Skylar One - Kyoto: Better Context for Faster, More Confident IT Operations

Modern IT environments do not fail in neat, isolated ways. A network issue in one location can affect a business service somewhere else. A device alert may be the first sign of a larger dependency problem. And when teams are managing infrastructure across data centers, cloud, branches, campuses, and edge environments, the first challenge is often knowing where to look first. The issue is not alert volume alone. It is the missing context between telemetry, service impact, probable cause, and action.

When One Agent Plans and Another Executes, the Planner's View Decides Everything

Split network operations into a planning agent and an executing agent and you have an elegant design on paper. One agent reasons about what should change and validates it. The other carries it out. The elegance is real, and so is the structural consequence: the split puts the entire weight of judgment on the planner. A plan built on a partial view, then executed precisely and at machine speed, is more dangerous than a cautious human who would have hesitated at the part that did not add up.