July 22 - Product Power Hour: Monitoring your AI Workloads with LM
Product Power Hour: Monitoring Your AI Workloads with LM Date: Tuesday, July 22 at 10 AM CT 🔗 Register Here Join us for July’s edition of Product Power Hour, your monthly deep dive into the latest and greatest from LogicMonitor! Hosted by the LM Community, Product team, and Training & Enablement, this session will focus on AI Monitoring—how LogicMonitor empowers you to monitor, optimize, and gain insights from your AI workloads with confidence. Featuring Guest Speakers: David Femino, Principal Product Manager Richard Brooke, Technical Trainer What You’ll Learn 🧠Purpose-Built AI Monitoring: Understand how LogicMonitor helps you keep mission-critical AI systems observable, performant, and cost-efficient. 📊 Key Metrics & Dashboards: Explore pre-built dashboards and curated insights tailored for LLMs, inference jobs, GPUs, and more. 🚀 End-to-End Visibility: Learn how to integrate AI monitoring seamlessly into your broader infrastructure monitoring strategy. 🎯 Real-World Use Cases: See how customers are using LogicMonitor to manage and scale their AI initiatives. 🤝 Expert Q&A: Bring your toughest questions—our experts are here to help you make the most of LM’s AI monitoring capabilities.New UI Impact Series - Topology Node Grouping
Next up in our series is Topology Node Grouping. This new feature allows users to dynamically group nodes in saved topology maps based on up to three levels of property metadata. By leveraging tags and labels stored as LogicMonitor properties, you can now organize your complex network maps into intuitive, property-based clusters. The groups are automatically color-coded according to alert status, providing an instant visual indicator of potential issues within specific node groups. So, how does this help you troubleshoot more efficiently? In complex network environments, identifying the severity level and location of issues can be like finding a needle in a haystack. Topology Node Grouping transforms this process, allowing you to quickly assess the 'blast radius' of any network problem. For instance, in a map of virtual machines, grouping by location could instantly reveal that all alerts originate from a specific data center. This level of clarity, which would have required extensive zooming and manual inspection in the past, is now available at a glance. By speeding up the identification of affected areas, Topology Node Grouping enables IT professionals to respond more swiftly and effectively to network issues, potentially reducing downtime and improving overall network performance. Want to know more about Topology Node Grouping? Check out these articles on Node Grouping and Searching for Nodes.
