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Agentic AIOps

Infrastructure Observability

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WebPageTest Web Performance

Test, compare, and optimize website speed, Core Web Vitals, and performance across real devices and global locations.

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2026 The Year of Autonomous IT

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About LogicMonitor

Our observability platform proactively delivers the insights and automation CIOs need to accelerate innovation.

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Meet the leaders building the future of observability and AI.

Careers

Find job openings and learn about our employee benefits.

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NEW

Join a collaborative, values-driven culture built on innovation and growth.

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Agentic AIOps

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Autonomously detect, diagnose, and resolve issues across your environment.

Meet Edwin AI

Turn fragmented cross-domain event noise into explainable, guided action.

AI Agent

Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

Compress raw alert storms into high-fidelity, prioritized insights.

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

NEW

Unify topology, telemetry, and changes into an AI-ready context layer.

MCP

NEW

Establish traceable, secure governance boundaries for AI tool integrations.

Infrastructure Observability

Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

Network Monitoring

Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Cloud Cost Optimization

Optimize cloud spend, maintain performance, and control budgets.

Internet Performance Monitoring

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points for independent validation of internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time to innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

Logs

Log Management Overview

Centralize and correlate log data to resolve incidents before they escalate.

Log Analytics & Intelligence

Correlate contextual log data with metrics to speed up root-cause analysis.

By Business Outcome

Autonomous IT

Predictive, autonomous IT built for resilience.

Automation

Eliminate repetitive operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and data silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-room by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

By Role

CIO

Maximize enterprise resilience and align AI investments to measurable business ROI.

AIOps

Compress cross-domain event noise into explainable, automated ops leverage.

DevOps

Speed up releases by protecting engineering roadmaps from toil.

ITOps

Standardize incident response to reduce alert fatigue and after-hours work.

CloudOps

Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

By Industry

Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

Financial Services

Secure transaction trust and meet strict operational resilience compliance requirements.

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Insights and advice from the experts on all things observability and AI.

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Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky

CONFERENCE

Digital X Cologne

September 8, 2026

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LOGICMONITOR BLOG

Welcome to LogicMonitor, Prabhu: A Conversation About Engineering, AI, and What’s Next

Prabhu Nakkeeran brings more than two decades of engineering leadership experience from organizations including New Relic, AWS, F5, and CA Technologies.

4–6 minutes
July 20, 2026
Garth Fort

IN THIS ARTICLE

NEWSLETTER

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When we began looking for our next Chief Technology Officer, we weren’t simply filling a leadership role. We were looking for someone who could help us build the next chapter of LogicMonitor.

Prabhu Nakkeeran brings more than two decades of engineering leadership experience from organizations including New Relic, AWS, F5, and CA Technologies. Throughout that time, he’s built cloud platforms, observability products, and high-performing engineering organizations that serve customers at global scale.

What stood out to me throughout the interview process wasn’t just Prabhu’s technical expertise. It was the way he thinks about customers, leadership, and engineering. As we continue building the future of AI-powered observability and Autonomous IT, I wanted our employees, customers, and partners to hear directly from him.

You’ve held engineering leadership roles at AWS, New Relic, and other industry leaders. What convinced you that LogicMonitor was the right place for your next chapter?

I’ve spent much of my career building observability platforms, and it feels like our industry is entering an entirely new chapter.

AI is fundamentally changing how infrastructure is built, operated, and managed, creating an opportunity to rethink what observability can become. LogicMonitor stood out because it combines a strong foundation with a clear ambition to lead that next phase of the industry.

Just as importantly, every conversation reinforced that this is a company focused on solving real customer problems. The team is ambitious, pragmatic, and deeply customer-centric. That combination made it clear this was the right place for my next chapter.

As you got to know LogicMonitor during the interview process, what stood out to you most about the company, its technology, or its opportunity?

Two things stood out.

First, the opportunity ahead. LogicMonitor has built a strong foundation, but there’s tremendous opportunity as customer environments become more complex and AI reshapes how infrastructure and applications are built and operated. That evolution creates an entirely new set of challenges for observability platforms to solve while continuing to operate at enterprise scale.

Second, the customer focus. It came through consistently during the interview process that LogicMonitor is committed to solving real operational challenges, not simply adding more features. Customers aren’t looking for more dashboards. They’re looking for better outcomes, and that mindset really resonated with me.

Throughout your career, what principles have shaped how you build and lead engineering organizations? What do you believe great engineering teams have in common?

Three principles have guided me throughout my career.

Start with the customer. Great engineering teams stay grounded in customer problems and work backward from the outcomes they want to achieve.

Create clarity and ownership. Teams do their best work when priorities are clear, responsibilities are well-defined, and people understand both what they’re accountable for and why it matters.

Build systems, not heroics. Sustainable engineering excellence comes from strong architecture, thoughtful operating models, and making the right way the easy way. Great organizations don’t rely on individual heroics. They create environments where talented teams can consistently do their best work.

Looking at the industry more broadly, what technology shifts are you most excited about over the next three to five years? Where do you think observability and enterprise operations are headed?

We’re at an important inflection point.

Observability has traditionally focused on helping teams understand what’s happening. Increasingly, it will help them understand why it’s happening and what to do next.

AI won’t simply be layered on top of existing operational workflows. It will become part of how those workflows function every day. As hybrid and multi-cloud environments become more complex, organizations will need platforms that combine observability, automation, and intelligence to help them move faster with greater confidence.

Observability has evolved from a reactive discipline into one that’s increasingly proactive and predictive, connecting technical telemetry more directly to business outcomes.

As you begin meeting customers, partners, and employees, what do you hope they’ll come to know about you as a leader?

I hope people see me as clear, approachable, and focused on outcomes.

I care deeply about connecting strategy to real customer impact and making sure teams understand not just what we’re building, but why it matters.

I also believe the best ideas come from listening. Whether I’m meeting with engineers, customers, or partners, I value honest conversations, thoughtful debate, and creating an environment where talented people can do the best work of their careers—with the right balance of ambition, accountability, and support.

Finally, when customers look back a few years from now, what do you hope they’ll say about the impact LogicMonitor made during this next chapter?

I hope they’ll say LogicMonitor helped simplify complexity.

Not because we gave them more data, but because we helped them operate with greater confidence.

As customers’ environments continue to evolve, I want LogicMonitor to be the platform that brings together observability, automation, and intelligence in a way that delivers meaningful outcomes: faster incident response, more resilient systems, and clearer insight into how technology decisions affect their business.

If we can help customers spend less time managing technology and more time moving their business forward, I’ll consider that a success.

Please join me in welcoming Prabhu to LogicMonitor. I’m excited for our customers, our engineering teams, and our company to benefit from his leadership as we continue building the future of AI-powered observability and Autonomous IT.

Garth Fort profile image
By Garth Fort

Chief Product Officer

Garth Fort is LogicMonitor’s Chief Product Officer, where he leads global product strategy and execution for the company’s AI-powered observability platform, LM Envision. A seasoned technology executive, Garth brings more than 20 years of experience driving product innovation, business growth, and cloud transformation across some of the world’s most respected enterprise software companies.

Disclaimer: The views expressed on this blog are those of the author and do not necessarily reflect the views of LogicMonitor or its affiliates.

© LogicMonitor 2026 | All rights reserved. | All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

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