LogicMonitor Elevate 2026 to Focus on Autonomous IT as theCUBE Livestreams Oct. 14

The event comes as enterprise IT teams deploy applications faster than ever but struggle to detect and resolve production problems at the same pace. Nashawaty, practice lead and principal analyst at theCUBE Research, said its AppDev research shows 63.7% of organizations deploy applications daily or multiple times per day, while 46.5% report that required deployment speeds have increased by 50–100% over the past three years. Yet 32.3% still take hours to become aware of production issues. "These findings highlight the growing disconnect between accelerated software delivery and the ability to maintain real-time operational visibility," Nashawaty said.

Elevate brings together IT leaders, practitioners and technology experts to discuss Autonomous IT. The livestream interviews with LogicMonitor executives and industry experts will focus on how agentic AIOps, full-stack observability and intelligent automation are changing enterprise operations, along with the practical challenges of implementing self-healing infrastructure while maintaining governance and human oversight.

LogicMonitor, an enterprise IT monitoring and observability company, has been expanding its strategy beyond infrastructure monitoring toward an AI-centered operating model that connects telemetry, incident investigation and automated remediation. In May, it announced its Autonomous IT Innovation Program, a private preview initiative designed to validate new workflows with selected customers. The program focuses on guided incident investigation, user-in-the-loop response, remediation and governance controls. "The future of IT operations is not dashboard-centric. It is AI-centric," said Garth Fort, LogicMonitor's chief product and technology officer. "This is our commitment to redesigning how teams work around AI-native workflows so they can act earlier, operate more intelligently, and ultimately automate more of the work required to keep modern digital businesses running."

Central to the strategy is Edwin AI, LogicMonitor's agentic AIOps technology, which uses operational data to correlate events, prioritize incidents and assist with root-cause analysis. The LM Envision platform provides visibility across hybrid infrastructure and cloud environments, supplying telemetry needed to support AI-driven operational decisions. LogicMonitor also expanded its reach through its acquisition of Catchpoint, announced in December 2025. By adding internet performance and digital experience monitoring to its infrastructure observability capabilities, the company aims to connect internal system health with the performance that customers and employees experience.

The integration addresses a persistent challenge: determining whether an application problem originates in the software itself, the underlying infrastructure or external dependencies beyond an organization's direct control. In a July update, LogicMonitor detailed work to connect Catchpoint alert data with Edwin AI for incident correlation across these environments. "For LogicMonitor Elevate, the opportunity is to bridge that gap by connecting full-stack observability with actionable AppDev insights and intelligent operations," Nashawaty said. "By helping development and operations teams correlate telemetry, identify root causes and automate responses, observability can become an enabler of faster releases, greater application resilience and more efficient IT operations."

The next challenge for Autonomous IT is moving beyond AI-assisted incident detection and diagnosis toward systems capable of taking corrective action. Traditional IT operations typically depend on engineers to interpret alerts, investigate dependencies and execute recovery procedures. Agentic AIOps introduces the possibility of automating portions of that process, allowing systems to correlate signals, recommend corrective steps and execute approved remediation workflows.