LogicMonitor Community logo
     
    • Product Hub
    • Product Forums
      • LM Envision Forum
      • Catchpoint (IPM) Forum
      • Edwin AI Forum
    • Product Updates
      • All Discussions
      • Blogs
      • Feature Requests
      • Product Power Hour
      • End of Life Updates
    • Advocacy
      • MVP Program
      • MSP Connection
    • Learn
      • Welcome to the LM Community
      • Customer Onboarding
      • LM Community News
      • LM Academy
      • Catchpoint Resource Library
      • Release Notes
      • Technical Documentation
    • Events
    • User Groups
    •      
    Discussions
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
    •                    
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   
    Discussions
    LogicMonitor Community logo

    Prevent disruptions, resolve issues faster, and safeguard critical services with the unified observability platform built for predictive, AI-powered IT operations.

    Quick Links
    • Events
    • User Groups
    Social
    #LogicMonitor
    © 2026 LogicMonitor Community  All Rights Reserved.
    Powered byBevy logo
    • TagsChevronRightIcon
    AIOps
    • Blog banner
      • LM NewsChevronRightIcon

      1H Announcement 2026

                               

      What 1H 2026 Means for the Teams Using LogicMonitor Every Day Watch the full video here or directly on our Product Hub page for a deeper look at what’s coming in 1H 2026. If you use LogicMonitor every day, whether you are troubleshooting alerts, tracking service health, digging through logs, or trying to move faster during incidents, our 1H 2026 product announcement is built with your work in mind. This announcement is centered on three ideas: Autonomous Operations without Blind Spots Intelligence Grounded in Context From Insight to Action Those themes may sound big-picture, but for day-to-day users, they point to something very practical: helping you see more, understand more, and act faster. Autonomous Operations without Blind Spots The first theme is about visibility. In real environments, issues do not stay neatly in one place. What starts as an infrastructure problem can surface in logs, affect user experience, or be tied to an Internet dependency outside your immediate control. That is why this part of the 1H 2026 story matters. It is about expanding visibility across the parts of the platform that technical teams rely on most, including core observability, cloud and logs, and digital experience and Internet performance. For daily users, the value is straightforward: fewer blind spots when you are trying to understand what is happening and where to look first. Intelligence Grounded in Context The second theme is about making AI more useful in real operational work. Signals on their own are helpful, but context is what makes them actionable. Metrics, logs, topology, service relationships, and other operational contexts all play a role in understanding what is actually going on. That is where Edwin AI comes in. As the platform continues to bring more context together, the goal is not just to show you more data. It is to make the intelligence you see more relevant, more practical, and more trustworthy. For teams working in the platform every day, that can mean faster triage, less manual correlation, and a clearer starting point when something breaks. From Insight to Action The third theme is about response. Seeing an issue is important. Understanding it is even better. But what really matters in the moment is being able to take the next step quickly and confidently. That is why this part of the announcement focuses on moving from insight to action through automation and AI-driven response. For practitioners, this is where the platform becomes even more useful under pressure. It helps shorten the path from noticing a problem to understanding it to acting on it. And when you are managing incidents, supporting services, or trying to keep teams aligned, that speed matters. Why this matters for the community For our community, this announcement is not just about where the platform is going. It is about how that direction supports the work you are already doing. If you are in operations, support, SRE, platform engineering, or another hands-on technical role, these updates map directly to the workflows you care about most: getting broader visibility across your environment understanding issues with better context moving faster from investigation to response That is the real takeaway from 1H 2026. It is about making LogicMonitor more helpful for the people who use it every day. Looking ahead Autonomous IT is a big vision, but it only matters if it improves the experience of real teams doing real work. That is what makes the 1H 2026 announcement exciting. It is about broader visibility. Better context. Faster action. And for the technical users in our community, that means a platform that is increasingly built to support the way you actually work. Want a deeper walkthrough of the themes and product areas behind the announcement? Watch the video here or directly on our Product Hub page for a more in-depth explanation.

      Sky Donnell
      Sky DonnellPosted May 15, 2026 at 7:26 PM
      0
               
    • Blog banner
      • Ski School 2026ChevronRightIcon

      Welcome! Your LogicMonitor Ski School adventure starts here

                       

      Grab your skis and lace up those ski boots, it’s time to hit the slopes! Your LogicMonitor Ski School journey kicks off today. Here’s your Week 1 Ski Guide to help you navigate the path ahead: This week’s expedition: AIOps with LogicMonitor Earn your AIOps Adoption Badge! Dig into the content at your own pace, test your knowledge as you’re ready. Head to the LM Academy and start learning: Customer | Partner Join this week’s Ski Session , Wednesday 10AM CT/4PM GMT for an overview of this week's topic, a demo from our team, and time for questions + discussion. Register here to join. To access your LM Academy account: Log in to your LM Envision portal. Click your profile icon in the top right corner. Select “Training” from the dropdown menu. In LM Academy, navigate to the AIOps Adoption badge, register for the badge, and start learning. Wrap up your Week 1 assignments by Friday, March 13. You can “ski” past that date, but finishing by Friday keeps you on path with your fellow skiers. We’re excited to start this adventure with you, and we will see you on the slopes!

      Sky Donnell
      Sky DonnellPosted 3 months ago
      0
               
    • Blog banner
      • Ski School 2026ChevronRightIcon

      LogicMonitor Ski School Is Here! 4 Weeks to AI-Powered Observability

                               

      If AI-powered observability feels exciting but also a little intimidating, you are in the right place. LogicMonitor Ski School is a free, 4-week enablement program built to help you confidently adopt AIOps and put LogicMonitor’s AI capabilities to work in real operations. Think of it like a guided run with a great instructor: clear steps, practical coaching, and a path that helps you progress fast without getting buried in theory. Ready to clip your boots in? Sign up for LogicMonitor Ski School today ! What you will get Ski School is designed for all experience levels , from first-timers to seasoned pros looking to sharpen their edge. Expect a simple weekly rhythm that fits into real schedules and drives real outcomes: A guided weekly track with short, self-paced lessons you can complete on your time A badge each week that validates what you learned (with a quick assessment to lock it in) Live Ski Sessions with LogicMonitor trainers and product experts for demos and real-time Q&A Practical takeaways you can apply directly in your own environment to reduce noise and surface smarter insights Complete all four weekly badges, and you will earn exclusive Ski School swag , plus qualify for a grand prize . And bonus, you can share your badges on LinkedIn to show off your Ski School progress and highlight your AI-powered observability expertise! Your 4-week ski map Each week, you will tackle a core capability and earn the badge to match: Week 1: AIOps Adoption Get your foundation set and learn how to approach AI-powered observability with confidence. Week 2: Resource Management Build visibility and control where it matters, so your environment stays tuned and ready for whatever comes next. Week 3: Alerts Cut through the chatter by reducing alert noise and focusing attention on what actually needs action. Week 4: Edwin AI Bring it home with Edwin AI and learn how to turn smarter insights into faster decisions. Why join For you Build practical, AI-ready LogicMonitor skills Earn badges that prove real expertise Learn with peers and get direct access to experts For your organization Accelerate AI adoption and time to value Reduce alert noise and improve decision-making Develop internal LogicMonitor champions Ready to hit the slopes? Ski School is flexible, virtual, and focused on real-world outcomes. If you want to turn AI-powered observability into something your team can actually operate with, this is your starting chairlift. Sign up for LogicMonitor Ski School today Questions? Reach out to your CSM or email training@logicmonitor.com .

      Sky Donnell
      Sky DonnellPosted 3 months ago
      0
               
    • Blog banner
      • LM NewsChevronRightIcon

      New Badge Alert: AIOps Adoption Is Now Live!

                               

      We’re excited to introduce the next badge in the LM Badge and Certification Program— AIOps Adoption , now available in LM Academy! This badge is designed to help you build a solid foundation in AI-driven operations and understand how AIOps enhances observability and incident management within LogicMonitor. By earning this badge, you’ll learn how to: Understand the evolution of AI in IT operations, including how it finds meaningful patterns in your data, it reduces incidents, and improves resolution times Identify how the AIOPs within LM Envision help you enhance observability by  proactively preventing issues and troubleshooting faster.  Discover the value Edwin AI delivers by surfacing insights, enhancing workflows, and improving decision-making, all while learning some strategic approaches to adopting Edwin AI. Whether you’re just starting to explore AIOps or looking to level up how you manage incidents, this badge gives you the tools and knowledge to make smarter, faster decisions in your LM environment. As always, the badge is: ✔ Free ✔ On-demand ✔ Self-paced Once you complete the badge exam, you’ll earn a verified digital badge delivered straight to your inbox. Be sure to check your Spam folder if you don’t see it. This third party verified badge is perfect for sharing with your team or showcasing on LinkedIn. 🎉 Don’t forget to tag #logicmonitor when you post—we love cheering on your progress! Note : We’re currently building an integration to sync badges to your LM Community profile. In the meantime, our team will manually upload earned badges on a monthly basis.

      Sky Donnell
      Sky DonnellPosted 10 months ago
      0
               
    • Blog banner
      • Product Power HourChevronRightIcon

      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 here

      Sky Donnell
      Sky DonnellPosted 10 months ago
      0
               
    • Sky Donnell
      • Events
               
      Sky Donnell
      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.

      1 year ago
                                             
      0
               
    • Blog banner
      • Tech TalkChevronRightIcon

      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 .

      Sky Donnell
      Sky DonnellPosted 1 year ago
      0