Take your LogicMonitor skills further with a special hands-on training experience led by our LM Community team and expert trainers. During this interactive session, you’ll learn how data flows through LogicMonitor—from collection to actionable insights—while building skills in dashboards, alerts, monitoring workflows, and incident investigation. The training also focuses on reducing MTTR, improving visibility and cost efficiency, and tying platform performance to real business impact. Come prepared to learn, collaborate, and put your LogicMonitor skills into practice.

As IT environments grow more complex, the bottleneck is no longer visibility — it is the volume of decisions engineers face every day. This session maps the path from reactive, alert-driven workflows to scalable, AI-assisted decision-making and automated action. Drawing on real-world examples from enterprise and MSP customers, we examine how teams are reducing manual triage, accelerating root cause analysis, and automating common remediation tasks. We unpack what “Autonomous IT” actually looks like today — where it delivers value, where human-in-the-loop remains essential, and how to take pragmatic next steps regardless of where you are on the journey.

Top 3 Takeaways:

• A working definition of Autonomous IT and the assisted/augmented/autonomous ladder.
• Customer-validated patterns for reducing manual decisions in real environments.
• A pragmatic next-step plan calibrated to your team’s current maturity.

Session Type: Vision

Themes: Agentic AI & Autonomous IT

Products: Edwin AI, Automated Diagnostics & Remediation

Audience: IT Executive & Leader

The MSPs winning today are not the ones with the most tools. They are the ones turning observability into margin, growth, and stickier customer relationships. In this panel, some of LogicMonitor’s most successful MSP partners share how they have built world-class GTM organizations with LogicMonitor as a core pillar: standardizing service offerings, scaling Edwin AI across customer environments, expanding service catalogs, and driving renewals. Hear directly from the leaders making the calls about packaging, pricing, scaling NOCs, and competing in a crowded market and walk away with patterns you can adapt to your own MSP.

Top 3 Takeaways:

• How three top MSPs structure service offerings around LogicMonitor.
• Hard-won lessons on scaling Edwin AI across customer environments.
• Pricing, packaging, and renewal patterns that are working today.

Session Type: Panel

Themes: IT Service Delivery, MSP GTM Strategy

Products: Edwin AI, LM Envision, Logs, Cost Optimization

Audience: Managed Service Providers

Alert noise reduction has always been the default headline metric for AIOps and it dramatically understates the business case. This session reframes how IT leaders should measure AI’s impact in operations, drawing on Forrester’s Total Economic Impact methodology to connect operational gains to executive-level outcomes: time recaptured, faster incident resolution, business continuity, and engineering productivity. Attendees leave with a defensible measurement framework for evaluating AI initiatives, communicating value to the CFO, and prioritizing where to invest next.

Top 3 Takeaways:

• The four operational metrics that change CFO conversations.
• A TEI-style framework for evaluating any AI initiative.
• Templates for internal value reporting and renewal justification.

Session Type: Vision

Themes: AI Value & ROI

Products: Edwin AI, LM Envision

Audience: IT Executive & Leader

For most MSPs, monitoring coverage is not the problem — decision scalability is. Tier-1 engineers act as human routers, working through millions of alerts every month, and the only way to grow is to hire. This session walks through how MSP customers used Edwin AI to flip that model. You’ll hear how MSPs have achieved results like correlating over 1.18M raw events into roughly 300 ticket-worthy insights, compressing 4,000 alerts into approximately 550 decisions, and cutting early-stage noise by over 50 percent. We unpack the specific capabilities that made this work (e.g. cross-domain correlation, AI-generated RCA, and emerging agentic action) and what to put in place if you want to follow the same path.

Top 3 Takeaways:

• The metrics MSPs are using to replace ‘alert reduction percent.’
• The capabilities required to scale decisions, not just suppress alerts.
• A 90-day plan to deploy Edwin AI inside your NOC.

Session Type: Customer story

Themes: Agentic AIOps, AI Agents

Products: Edwin AI

Audience: Managed Service Providers

Enterprise observability strategies are increasingly built around open standards and data flows with many organizations leveraging Open Telemetry. This session covers how LogicMonitor ingests OTLP data directly, why numerous organizations in all market segments are bringing existing OTel pipelines to the platform without re-instrumenting, and the practical implications for Kubernetes and infrastructure monitoring. We unpack what is supported today, what is coming, and how to design a vendor-agnostic telemetry pipeline that still gets you the operational outcomes you need on day one.

Top 3 Takeaways:

• How OTLP ingestion works inside LogicMonitor today.
• Reference architectures from real customer deployments.
• A migration path that does not require ripping out collectors.

Session Type: Technical deep-dive

Themes: Open Standards & Extensibility; OTEL

Products: LM Envision, OpenTelemetry ingestion

Audience: IT Practitioner & User

The LogicMonitor platform is more extensible than most customers realize — and once teams see how quickly a custom LogicModule or API integration can be built, the way they monitor changes. This hands-on workshop walks through building a scripted LogicModule live, then plugging the LogicMonitor API into a real workflow. Bring a laptop. By the end of the session, attendees have a working module you built yourself, a clear reference architecture for API-driven workflows, and the confidence to build the next one without help.

Top 3 Takeaways:

• A working scripted LogicModule built during the session.
• A reference pattern for API-driven automation.
• A roadmap of documentation, examples, and community resources to keep building.

Session Type: Hands-on lab

Themes: Open Standards & Extensibility

Products: LM Envision, LogicModules, API

Audience: IT Practitioner & User