Overview

February’s Product Power Hour focused on Removing Analytics Bottlenecks: From Investigation to Reporting, with practical walkthroughs showing how to move faster from “something’s broken” to “here’s why and here’s the story we can share.” The session connected the investigation workflow to repeatable reporting, enabling teams to avoid rebuilding the same analysis for every incident.

Key Highlights

⭐ Investigation without context switching: Reduce investigation time by pivoting directly from alerts and metrics into logs in context, without jumping across tools.

⭐ Log noise reduction through layered intelligence: Cut through log noise using anomaly signals, pattern detection, and guided analysis workflows to surface the log lines that actually explain the issue.

⭐ LogPilot for natural language queries: Translates natural language questions into queries so more people can troubleshoot effectively without needing deep query expertise.

⭐ Shared Query Library with RBAC: Save and share queries across teams using Public/Shared query groups while staying within role-based access controls.

⭐ From investigation to reporting: Powered by LogicMonitor Query Language (LMQL), the Advanced Metrics Widget and Metrics Explorer Report enable reusable analysis logic across dashboards and scheduled reporting for stakeholders.

Q&A

Q: How do dynamic thresholds work (especially for network interface traffic)?

A: Dynamic thresholds are generally based on a baseline plus standard deviation logic (with configuration options), helping flag behavior that meaningfully deviates from “normal” rather than relying only on static thresholds.

Q: What is LMQL, and where is it available today?
A: LMQL (LogicMonitor Query Language) powers the Advanced Metrics Widget and the Metrics Explorer Report, enabling flexible filtering and aggregation across metrics, instances, and resources.

Q: Is the Metrics Explorer Report available to all customers, and can it be used for SLA reporting?
A: Yes. The Metrics Explorer Report is available broadly. Because it is driven by LMQL, customers can use it to build SLA-focused views, executive rollups, or tightly scoped operational reports without having to recreate analysis logic each time.

Q: How does LogPilot support more advanced log analysis?
A: LogPilot translates natural language prompts into structured queries, including more advanced query patterns. This allows users who may not know the underlying syntax to still perform deep analysis, accelerating time-to-insight during investigations.

What’s Next

👥User Group

In-person:

February 26 - London, UK
February 26 - Denver, CO

Virtual:

March 3 - MSP
March 3 - AMER East
March 3 - AMER West
March 5 - EMEA
March 5 - APAC

⚡Product Power Hours

March 12 - Performance Without Blind Spots: End-to-End Internet Performance Monitoring

March 17 - AI Investigation Enhancements for Faster Resolution

🎿LogicMonitor Ski School

LogicMonitor Ski School is a free, 4-week guided enablement program designed to help teams confidently adopt AI-powered observability and operationalize Edwin AI. Through a structured, cohort-based journey, participants complete weekly LM Academy badges, join live, expert-led Ski Sessions, and apply what they learn directly in their own environments.

Along the way, they earn official badges in AIOps Adoption, Resource Management, Alerts, and Edwin AI while reducing alert noise, accelerating time-to-value, and building internal LogicMonitor champions.

March 9 to April 5

🪵Logs for Lunch

March 11 - Leverage log data in Edwin for even smarter insights

Additional Resources

Review the slide deck here

Watch the recording here or directly on the event page.