Operations | Monitoring | ITSM | DevOps | Cloud

AI Observability is a Critical Priority for ITOps Teams See how LogicMonitor helps ITOps teams monitor AI workloads, reduce blind spots, and move toward Autonomous IT. Schedule a meeting AI has shifted from experimental pilots to everyday business operations. Customers are interacting with AI-powered applications. Engineering teams are building with LLMs, GPUs, APIs, and automation at a much faster pace. That adds to the visibility strain on already overburdened ITOps teams.

Investigation is the most time-consuming and cognitively demanding phase of incident response, and it’s the phase least served by existing tooling. Modern ITOps teams have spent years investing in better detection and alerting. The tools are faster, the dashboards are richer, and anomaly detection keeps improving.

The quick download: Most observability strategies overlook the internet layer that underpins every user’s digital experience, leaving it almost entirely unmonitored. Most IT teams monitor servers, networks, and applications, yet the infrastructure layer that carries traffic to users remains largely unmonitored.

There’s a lot happening across Asia Pacific right now. Enterprises are moving quickly to modernize operations, adopt AI, and manage growing complexity across increasingly distributed environments, and the opportunity ahead for LogicMonitor in the region continues to grow alongside it. That’s why I’m especially excited to welcome Dave Patnaik to LogicMonitor as our new Vice President of APAC.

MSPs already have plenty of tools. The harder problem is getting a clear read on what’s happening across each customer environment, which alerts point to the same issue, and where engineers should start. Choosing the right MSP software is really about choosing the right operating layer for service delivery. MSPs are supporting more customers, more environments, and more alerts, but adding another tool doesn’t always make the work easier.

Internet Performance Monitoring (IPM) provides end-to-end visibility into what happens between your infrastructure and your users, across networks and services you don’t own or control. The internet is your network now. Your apps live in the cloud, your users are everywhere, and the systems that deliver your applications and services to them use hundreds of providers, ISPs, and networks beyond your control. In practice, that means infrastructure monitoring is the foundation.

This blog helps IT leaders use the Forrester Consulting TEI study as a practical framework for evaluating Edwin AI in their own environments. A Total Economic Impact study is useful for one, critical reason: it takes a broad technology claim and turns it into a financial and operational framework. That matters in AI for IT operations because the market is crowded with claims. Every platform says it reduces noise. Every platform says it improves efficiency. Every platform says it helps teams move faster.

Visibility without control is just expensive awareness. Most IT teams can see when something’s wrong, but can’t easily tell who’s affected, why, or what to do next. In other words, they lack real control. In this in‑depth session, LogicMonitor’s Callum Brown and Brandon Delap showed how to move past that.

Internet Performance Monitoring (IPM) is essential for MSPs to move from reactive support to proactive experience assurance. Green lights on your internal dashboard don’t mean users are having a good experience. That was the central tension in this conversation between LogicMonitor RVP of Managed Services, Daniel Gad, and Catchpoint Field CTO, Gerardo Dada, and it’s a problem most MSPs haven’t fully solved.

Internal visibility isn’t enough for modern incident response. Your app team has three dashboards open and everything looks fine. CPU is healthy, memory is stable, the application servers are responding normally. But users are still complaining. The checkout page is slow. Logins are timing out. Support tickets are piling up. And your monitoring tools have nothing useful to say about why.