July Product Power Hour Recap: Monitoring Your AI Workloads with LM

Overview

In this edition of Product Power Hour, the LM team explored how LogicMonitor can be used to effectively monitor AI workloads across modern environments. The session walked through best practices for monitoring key components of AI systems—including GPU metrics, model latency, and infrastructure dependencies—using LogicMonitor’s platform. Attendees gained insights into real-world AI observability challenges and how LogicMonitor enables end-to-end visibility into the health of AI services.

Key Highlights

⭐ AI Workload Dashboards: Demonstrated how to build dashboards tailored to AI-specific metrics, including GPU utilization, job runtimes, and inference latency. 

⭐ Dynamic Thresholds: Discussed using anomaly detection to set smarter thresholds for variable workloads like training jobs and inference endpoints, helping reduce alert fatigue and improve model reliability by adapting to fluctuating usage patterns.

⭐ Unified Monitoring: Emphasized LM’s ability to consolidate data across cloud, on-prem, and edge environments—critical for hybrid AI infrastructure.

⭐ Alert Routing + Suppression: Demonstrated how to avoid alert fatigue by using alert tuning and dynamic suppression during scheduled AI retraining windows.

Q&A

Q: Can LogicMonitor monitor GPU metrics out-of-the-box?
A: Yes, LM has native collectors and integrations to pull in GPU metrics from platforms like NVIDIA and cloud providers.

Q: Is LM useful for model observability?
A: While LM focuses on infrastructure-level monitoring, it provides context crucial to understanding model performance issues (e.g., degraded latency tied to resource constraints).

Q: How does alert suppression work during model retraining?
A: You can set up dynamic suppression rules based on job schedules or metadata to avoid false positives during known high-usage periods.

Q: Does LM integrate with tools like PagerDuty or Slack?
A: Yes. These integrations are supported and were demoed live during the session.

Customer Call-outs

🌟 “I can now see infrastructure issues that were hard to diagnose before.”

🌟 "LM’s GPU monitoring capabilities have been helpful for managing cloud costs and performance.”

What’s Next

📚 Badges and Certifications

We’ve launched our new LogicMonitor Badges and Certifications program in LM Academy. Earn free, on-demand, digital badges that validate your product knowledge and platform skills. 

Available badges:
🛡️Getting Started
🛡️Collectors
🛡️Logs
Launching July 31:
🛡️AI Ops Adoption

🏕️ Camp LogicMonitor: An Observability Adventure

Join us starting August 18th for this 4-week virtual learning experience designed for LogicMonitor users of all levels. Each week features self-paced lessons, community discussions, and live Campfire Chats with product experts. Earn badges, grow your skills, and score exclusive LogicMonitor swag!

👉 Register now to reserve your spot!

🪵 Logs for Lunch 

August 12 – Network Troubleshooting & Getting Started with Logs

⚡ Product Power Hour

August 19 - Edwin AI In Action
Want to check out previous Product Power Hours? Explore the Product Power Hour Hub in LM Community!

👥 User Groups

Connect in person with other LM users in your city over dinner and real talk. Share wins, swap stories, and grow your network. RSVP today:

Salt Lake City - September 9
Denver - September 10

Stay tuned in our LM Community User Group Hub for upcoming virtual sessions. 

Note: As we finalize our speakers, these dates and times may change, but be sure to register for your respective regions above so we can keep you informed!

Review

If you missed any part of the session or want to revisit the content, we’ve got you covered:

Review the slide deck here

Want to see the full session? Watch the recording below ⬇️