Operations | Monitoring | ITSM | DevOps | Cloud

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.

Downtime is more than an inconvenience these days, nor is it solely a problem for the ITOps team. Since every organization is a digital business, downtime can cost millions of dollars per hour, stall innovation, and erode customer trust. Yet most IT teams are still trapped in reactive mode, scrambling across fragmented tools and drowning in alert fatigue. That model no longer works. The future of IT is about foresight, not firefighting.

If you’re in IT operations, you’ve likely faced the disconnect firsthand: your dashboards say everything’s green, but your business stakeholders are asking why the website is slow, the customer portal is timing out, or a regional service is underperforming. Your team is usually on top of issues, such as monitoring infrastructure health, resolving alerts, and keeping systems online. But the business isn’t looking at device uptime.

Picture this: Your dashboards are calm. CPU load is steady. Error rates are low. Everything looks fine. That is, until the alarms go off. Now what? Metrics tell you something’s wrong, but not what, where, or why. They reveal symptoms, not root causes, and in high-stakes environments, that’s only half the story. Say your API response times spike. Metrics raise the flag, but they don’t tell you if it’s a code deployment, a database hang, or a traffic surge.

Every system in your environment—cloud, on-prem, or hybrid—generates log files. They capture everything from user actions to system failures, security events, and performance issues. But with so many log types and so much raw data, it’s easy to get buried in noise and miss what matters.

Your infrastructure isn’t confined to a single location anymore. It’s spread across clouds, containers, and on-prem systems, and every layer is spitting out logs: access attempts, performance spikes, error codes, config changes. That data is invaluable if you can find the signal in the noise. But with millions of logs flying by every day, that’s easier said than done.