LogicMonitor's Elevate Conference Tackles the Speed Gap Between App Deployment and Problem Detection

Organizations are shipping code at unprecedented velocity, yet the speed of detecting and fixing problems in production has not kept pace. Hybrid infrastructure, cloud-native systems and the proliferation of interconnected services are straining conventional monitoring tools. With software delivery cycles quickening and artificial intelligence becoming central to operations, IT teams face mounting pressure to manage sprawling environments without sacrificing application stability or business reliability.

Research from theCUBE underscores this tension. According to Paul Nashawaty, practice lead and principal analyst at theCUBE Research, "Our AppDev research indicates that 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."

LogicMonitor's Elevate conference, scheduled for October 13–14 in Chicago, will examine how organizations can bridge this gap. The gathering will bring together IT leadership, operational staff and industry specialists to explore Autonomous IT—a framework combining AI-driven observability, predictive analytics and automation to enable systems to identify, diagnose and resolve issues with minimal human involvement. On October 14, theCUBE will broadcast live coverage of the event, featuring interviews with LogicMonitor leadership and external experts on agentic AIOps, comprehensive observability and intelligent automation in enterprise operations, alongside the practical hurdles of deploying self-healing systems while preserving governance and human control.

From observability to intelligent operations

LogicMonitor, which specializes in enterprise IT monitoring and observability, is repositioning its platform away from traditional infrastructure-focused monitoring toward an AI-driven operational model that unifies telemetry collection, incident analysis and automated fixes.

In May, the company introduced its Autonomous IT Innovation Program, a closed-access pilot designed to test new operational workflows with a select group of customers. The initiative emphasizes guided incident investigation, operator-in-the-loop response, automated remediation and governance safeguards to help teams move past static dashboards and conventional alerting.

Garth Fort, LogicMonitor's chief product and technology officer, articulated the company's vision: "The future of IT operations is not dashboard-centric. It is AI-centric. 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."

Edwin AI, LogicMonitor's agentic AIOps engine, sits at the core of this strategy. The technology leverages operational telemetry to link related events, rank incident severity and support root-cause identification. The LM Envision platform furnishes visibility into hybrid and cloud infrastructure, delivering the observational data necessary for AI-informed operational choices.

LogicMonitor broadened its capabilities through the acquisition of Catchpoint, which the company announced in December 2025. This move combines internet performance and user experience monitoring with existing infrastructure observability, allowing LogicMonitor to connect internal system performance with the actual experience of customers and staff. The integration addresses a longstanding challenge: determining whether application failures stem from the application code, infrastructure components or external factors beyond organizational control. In a July announcement, LogicMonitor revealed progress linking Catchpoint alerts with Edwin AI to correlate incidents across these layers.

Nashawaty framed the significance of this convergence: "For LogicMonitor Elevate, the opportunity is to bridge that gap by connecting full-stack observability with actionable AppDev insights and intelligent operations. 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 path toward self-healing infrastructure

The next frontier for Autonomous IT extends beyond AI-assisted detection and diagnosis to systems capable of executing corrective measures independently.

Conventional IT operations rely on human engineers to parse alerts, trace dependencies and carry out recovery steps. Agentic AIOps opens the possibility of automating portions of this workflow, enabling systems to synthesize signals, propose fixes and execute pre-approved remediation sequences.

LogicMonitor is pursuing this direction through Edwin AI and complementary automation tools. The company has partnered with IBM and Red Hat to integrate Edwin AI with IBM watsonx and Red Hat Ansible Automation Platform, enabling more autonomous data center management.

Expanding automation, however, raises operational concerns around responsibility, access controls and the fallout from faulty decisions. An automated fix that resolves one problem could harm another critical system if the mechanism lacks adequate context or protective guardrails.

Karthik SJ, LogicMonitor's chief AI officer, reframed the challenge: "This is not about adding another AI assistant to existing workflows. We are fundamentally redesigning how enterprise teams work — moving from systems where humans manually gather and interpret information toward systems where AI empowers teams to understand, decide and act directly in the flow of work."

These considerations become especially critical as IT departments integrate observability systems with service management platforms, automation frameworks and live production systems. Successful execution demands dependable telemetry, explicit rules for automated actions and pathways for human intervention when systems encounter unforeseen situations.

Nashawaty identified the conversion of operational intelligence into action as a crucial success metric: "The strategic differentiator will be how effectively platforms turn operational data into timely decisions across the software lifecycle."

At Elevate 2026, theCUBE will explore how far organizations can realistically progress toward fully closed-loop automation, what concrete gains customers are realizing and where human judgment remains indispensable. Conversations will also address how unified visibility and agentic AI can strengthen IT resilience while avoiding additional operational exposure.

Event coverage and viewing options

TheCUBE will stream its Elevate coverage on October 14, with on-demand access available afterward. Viewers can tune in through theCUBE's website, YouTube channel and SiliconANGLE's event coverage portal.

SiliconANGLE offers additional enterprise technology content through "theCUBE Pod," available on Apple Podcasts, Spotify and YouTube, where hosts John Furrier and Dave Vellante discuss major developments in enterprise tech, including AI, cloud infrastructure, regulation and workplace dynamics. The outlet also produces "Breaking Analysis," a weekly program where Vellante examines top enterprise technology stories using theCUBE insights and spending intelligence from Enterprise Technology Research, also available on Apple Podcasts, Spotify and YouTube.

Confirmed speakers

Nashawaty will conduct interviews with several LogicMonitor executives during the October 14 livestream, including Garth Fort (chief product officer), Karthik SJ (chief AI officer), John Grosshans (president of field operations) and Alyene Schneidewind (chief performance officer). The program will also feature industry specialists representing Bell Techlogix, GlobalFoundries, ANS and SCC.

Discussions will center on how enterprises are deploying agentic AIOps, unifying observability data across intricate infrastructure and application ecosystems, and establishing operational safeguards to transition from reactive incident response to progressively autonomous IT operations.