Operations | Monitoring | ITSM | DevOps | Cloud

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.

Improving MTTR with AIOps: Myth or Fact?

There was a version of daily life, not long ago, that ran entirely on physical effort. Booking a trip meant a visit to a travel agent. Ordering lunch meant walking to a restaurant or calling and hoping someone picked up. Buying something for the home meant a trip to the store and a checkout queue. Paying a bill meant visiting a bank branch and engaging with a teller. None of it was instant, and nobody expected it to be.

AI Tool Sprawl Is Killing Enterprise ROI | Why Orchestration Matters More Than AI Features

Enterprise AI adoption is accelerating, but are organizations actually solving business problems or just adding more tools? In this episode of Agents of IT, Fran Fernandez (Chief Product Officer at Resolve) and Zach Austin (Director of Product Marketing) explore one of the biggest challenges facing enterprise IT in 2026: AI tool sprawl. They discuss why many organizations struggle to demonstrate ROI from AI investments, how disconnected AI assistants create operational complexity, and why orchestration, automation, and context have become the real differentiators for enterprise AI success.