Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence (AI) infrastructure requires four pillars working in tandem as a system (compute, storage, networking, and orchestration) tailored to your actual workload needs, not hype. Artificial intelligence (AI) infrastructure isn’t just more hardware. It’s a new class of system—highly distributed, resource-intensive, and tightly coupled across compute, storage, and network layers.

In today’s digital landscape, application performance isn’t just about monitoring several key apps and “keeping the lights on,” it’s about understanding the full breadth of your interconnected business services and ensuring you’re delivering seamless, reliable experiences to customers and teams alike. But as applications grow increasingly distributed across cloud, on-prem, and hybrid environments, monitoring them holistically can become a serious challenge.

Edge computing has been the buzzword of the decade. Everyone is talking about pushing intelligence closer to the edge, but most of that intelligence still needs a map and a flashlight. This week, CRN named LogicMonitor to its 2025 Edge Computing 100, recognizing companies that are actually doing something useful at the edge instead of just hyping it. We are honored. We are also a little amused.

At LogicMonitor’s Senior Leadership Team Offsite in July, I sat down for a candid conversation with Kyle Hill, CTO of ANS Group. As a longtime LogicMonitor customer and leader of a 700+ person tech powerhouse, Kyle offered sharp insights into scaling infrastructure, unlocking AI-driven value, and what true partnership looks like in today’s MSP world. Here’s an edited and condensed version of our conversation.

Recommendation: Focus your next AI initiative on one high-impact workflow. Measure, iterate, and scale. Agentic AI has quickly become the next frontier of enterprise automation. Instead of static AI tools that wait for human prompts, agents act on behalf of users by autonomously reasoning, sequencing steps, and taking action within defined guardrails.

Federal agencies need observability that doesn’t create new compliance problems. Today, that’s possible. LogicMonitor Envision is now FedRAMP Moderate Authorized with a formal Authorization to Operate (ATO). That means unified, AI-powered visibility across your hybrid infrastructure—on-prem, AWS GovCloud, Azure Government, and edge—without starting your security review from scratch.

The recent AWS outage exposed how fragile the internet remains. Amazon traced the hours-long disruption to a DNS error—a small failure with massive reach. For most organizations, DNS operates quietly in the background. When it fails, every digital service connected to it stops. One of LogicMonitor’s valued customers, IG Group, faced a similar event less than ten hours after enabling Edwin AI.

Agentic AI has entered day-to-day operations. Systems with the ability to act, learn, and adjust are already cutting noise, speeding remediation, and giving engineers time back for work that moves the business. In a recent webinar, Karthik SJ, General Manager, AI at LogicMonitor, and Mike Cervasio, Global Practice Manager, AIOps at World Wide Technology, explored what makes this new phase of AIOps actionable.

Your most skilled engineers shouldn’t be spending nights and weekends piecing together root causes of outages. Yet many organizations still rely on manual incident response across sprawling hybrid and multi-cloud environments. The result: slower resolution times, frustrated customers and lost revenue that can reach up to $1 million per hour according to IDC. At LogicMonitor, we believe the answer isn’t just better monitoring. It is systems that can heal themselves.

The role of the healthcare CIO looks nothing like it did a decade ago. Running the EHR, keeping infrastructure online, and managing vendor contracts are still table stakes, but they’re no longer the whole story. Today’s healthcare CIOs are being asked to do something far bigger: lead enterprise-wide transformation.