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Product Power Hour

Product Power Hour
Detect Digital Experience Issues Earlier with Catchpoint: Product Power Hour Recap

This Product Power Hour gave the community a practical look at how Internet Performance Monitoring, or IPM, is evolving . The session focused on how teams can improve visibility across the full internet stack, from network paths and employee endpoints to customer-facing digital experiences. The call centered on three core IPM lenses: network experience, workforce experience, and customer experience . Attendees saw how synthetic monitoring, real user monitoring, endpoint monitoring, Internet Sonar, Envision, and Edwin AI can work together to help teams answer critical operational questions faster, such as whether an issue is caused by the application, the network, a SaaS provider, a user device, or a broader internet disruption. Key Highlights ⭐IPM brings together synthetic monitoring, real user monitoring, and Internet Sonar to provide visibility across websites, APIs, applications, endpoints, SaaS services, cloud providers, CDNs, and network paths. ⭐In-session traceroute helps improve network troubleshooting by establishing a TCP connection before sending probes, which can result in cleaner, more complete path visibility compared to traditional traceroute approaches. ⭐Node-to-node monitoring enables teams to test connectivity across enterprise, cloud, backbone, last mile, and wireless nodes , with visibility into latency, jitter, packet loss, and path health. ⭐Workforce Experience Monitoring now includes test-level proxy configuration , allowing teams to define proxy behavior per test instead of managing proxy settings only at the individual enterprise agent level. ⭐Endpoint call quality monitoring gives IT teams visibility into Zoom and Microsoft Teams experiences , including application score, jitter, packet loss, packet drop, CPU usage, memory utilization, and geographic trends. ⭐Catchpoint data can be pushed into Envision and correlated in Edwin AI , helping teams connect external experience signals with infrastructure telemetry, identify root cause, and surface suggested remediation steps. Q&A Q: Are shared SmartBoard links dynamic and updated in real time? A: Shared SmartBoard links capture the selected timeframe, so they are static snapshots of the data from that investigation window. However, the shared view is still interactive, meaning users can click through records and explore the captured data. For a live, dynamic view, teams can put these matrixes into a custom dashboard and share that instead. Q: Why do I only see instant tests under Endpoint and not the endpoint features shown in the demo? A: Endpoint is a separate product and requires its own license. If Endpoint is not enabled in your portal, you may only see limited options, such as instant tests. Teams interested in trying Endpoint should reach out to their account executive to discuss access or a POV. Q: Can I add an endpoint to monitor an enterprise Zoom experience throughout the day? A: Yes. With Endpoint enabled, teams can monitor how an endpoint behaves throughout the day, including CPU and memory utilization, what the user accessed, and the quality of their experience while using applications like Zoom. Q: Is Internet Sonar required to drill down on endpoint data? A: No. Endpoint and Internet Sonar are separate products that provide different types of visibility. Endpoint requires an agent to be installed on workforce devices, whereas Internet Sonar provides visibility into broader SaaS and internet service issues without requiring installation. Used together, they can help determine whether an issue is isolated to a user or the workforce, or affects a larger region or service. Q: If call quality issues appear in one location, should I check Internet Sonar to see whether the issue is broader? A: Yes. If call quality issues occur in a specific area, Internet Sonar can help determine whether the issue affects other companies, regions, or services, or is isolated to your own users. Q: What is the best way to monitor end-user experience for custom integrations and microservices? A: A combination of test types is usually needed. For microservices, API monitoring is often the starting point, along with supporting checks such as DNS and network reachability. To get an aggregate view, teams can use custom dashboards and widgets that combine synthetic, endpoint, RUM, and Internet Sonar data. These views can also be pushed into Envision to compare experience data alongside infrastructure data. Q: Are Catchpoint synthetics similar to Selenium synthetics? A: Catchpoint synthetics go beyond traditional Selenium-style transaction testing. The platform breaks monitoring into different protocols and test types, including HTTP checks, full browser tests using Playwright, scripted user flows with Playwright and Puppeteer, API microservice tests, DNS checks, ping, and traceroute. This allows teams to monitor the individual protocols and services that power a user experience. Q: Can the same synthetic tests run from POPs and endpoint agents? A: The full set of synthetic monitors can run from public agents and enterprise agents. Endpoint agents are lighter weight, so they support simpler scheduled tests such as HTTP checks, traceroutes, and pings. They do not run full browser tests because endpoint devices are already running user workloads. Q: When should I use in-session traceroute? A: In-session traceroute is useful when traditional traceroute results show incomplete paths, repeated hops, or packet loss that makes troubleshooting difficult. It helps measure a cleaner path by establishing the connection before probing. Q: Can in-session traceroute be used with enterprise nodes, or is it only for backbone nodes? A: In-session traceroute can be used with any node type, including enterprise nodes and backbone nodes. Q: How do I enable in-session traceroute? A: It is a simple change in the traceroute sub-monitor type. Select in session as the sub-monitor type. Teams can also copy an existing test, run the traditional and in-session versions side by side for a few hours, compare the results, and decide whether to update more tests. Customer Call-outs 🌟“Thank you so much - It's really helpful.” 🌟“Yeah, that's very cool. That's the first time I've seen that [Catchpoint events] done live in there with those, popping that in and using Edwin to pull all that out.” What’s Next 🚀 1H Announcement Webinar Join us for the 1H Announcement webinar, which will serve as the official public presentation of the release themes and product updates previewed during this meeting. This will be the broader launch moment for the autonomous IT story, upcoming innovations, and related release details. May 12 at 12 PM CT 👉 Register here ⚡ Product Power Hour Join the next Product Power Hour sessions to continue exploring product updates, live demos, and practical use cases across the platform. These sessions are built for technical practitioners who want to see what is new, understand how features work in context, and ask questions directly to the teams behind the product. Optimize Cloud Spend with Confidence 📅 May 19 🕙10am CT Automated Remediation for Faster Issue Resolution 📅 June 17 🕛12pm CT 🍽️ User Group Dinner LogicMonitor is continuing to bring customers together through in-person user group dinners and regional sessions. These events are a great way to connect with peers, share monitoring strategies, and discuss real-world operational challenges with other practitioners. Join us in Chicago on May 27th Elevate Community Conference LogicMonitor’s annual conference is coming up in October and will bring the broader community together for product updates, technical enablement, customer stories, and peer networking. This is the best opportunity to go deeper on the platform roadmap and learn how other teams are scaling observability across their organizations. Registration opens mid-May Resources and Review 🏅Want to upskill? Earn your Catchpoint badge! 💻 Review the slide deck here 📹Watch the recording here or directly on the event page
Sky Donnell1 month ago
0
Product Power Hour
Smarter Alerting and Alert Noise Reduction: Product Power Hour Recap

Overview This month’s Product Power Hour focused on a topic that continues to matter for every operations team: how to reduce alert noise without losing visibility into what matters most . The session brought together product and training experts to walk through alert tuning best practices, threshold strategies, routing guidance, topology-driven troubleshooting, and new diagnostic and remediation capabilities . The biggest takeaway was clear: effective alerting starts with tuning before routing . Rather than sending every alert downstream and overwhelming teams, the presenters encouraged customers to use alert reports, review noisy signals regularly, and build a more intentional alerting strategy that evolves with the environment. Key Highlights 🌟 Start with reports before routing alerts. The team recommended using Alert Frequency and recent alert reports to identify what is noisy versus what is actionable. 🌟 Treat alert tuning as an ongoing process. As environments scale and change, thresholds and alert strategies should be reviewed regularly instead of being treated as a one-time setup. 🌟 Use the right threshold model for the workload. Static thresholds work well for predictable resources like disk capacity, while dynamic thresholds are better suited for changing environments such as cloud and autoscaling workloads. 🌟 Combine static and dynamic thresholds for critical systems. A hybrid model can provide both a hard safety net and early anomaly detection for customer-facing applications, APIs, and databases. 🌟 Keep alert routing simple. Strong resource group structure reduces complexity and makes it easier to route alerts to the right team, system, or escalation path. Leverage topology, dependent alert mapping, and new troubleshooting tools. Automated diagnostics, remediation workflows, correlated metrics, and topology edge status can help teams identify root cause faster and reduce alert storms. Q&A Q: Does our LogicMonitor alert policies fully cover our Azure architecture, including dependencies such as load balancers, VNets, SQL MI, application gateways, and managed PAS services? Enhancement planned? A: Yes. LogicMonitor attaches built-in logic modules to those Azure and cloud components. Some of those modules include default alert thresholds, and if they do not, or if the defaults are not right for your environment, you can customize them. Q: Is there a report that lists static threshold modifications below the module level so admins can see where thresholds were changed from default? A: Yes. You can use the alert threshold report for that. If you have a large environment, you may need to filter by resource group or narrow the results. You can also use audit logs to see who changed what. Q: Do we have some real-time use cases as templates or ready-to-go settings that we can utilize for alert thresholds? A: Yes. The default thresholds built into logic modules are the starting point. They are based on LogicMonitor and customer experience, but you should still review and tune them for your own environment. Q: If you update logic modules, will you lose historical data? A: There is potential for that, depending on what changes in the module. That is why it is important to review the impact before updating. LogicMonitor does provide ways to compare the current and new versions before you apply changes. Q: Are automated diagnostics and remediation included in platform pricing, or is there additional pricing? A: It is included in the newer platform packages: Essentials, Advanced, and Signature. For other package types, it may require an add-on. Q: Does LogicMonitor automatically detect GeoIP or geolocation for servers in a hybrid infrastructure? A: Not automatically, based on the discussion in this session. You would typically need to set that location property yourself, usually through CSV upload, APIs, or a custom logic module. Q: How can we restore a module after an update? A: The best practice is to clone before updating. There is also a revert option in the module toolbox that lets you compare versions and roll back changes. Customer Call-outs ⭐️ “I like that [geolocation] custom module option that you mentioned.” What's Next 🚀 1H Announcement Webinar Join us for the 1H Announcement webinar , which will serve as the official public presentation of the release themes and product updates previewed during this meeting. This will be the broader launch moment for the autonomous IT story, upcoming innovations, and related release details. May 12 at 12 PM CT 👉 Register here ⚡️ Product Power Hours Detect Digital Experience Issues Earlier with Catchpoint A Catchpoint-focused Product Power Hour is coming in May on detecting digital experience issues. This session will spotlight how teams can more effectively identify and troubleshoot user experience problems. Tuesday, May 5 at 11 AM CT 👉 Register here Optimize Cloud Spend with Confidence The next cost optimization session is scheduled for May 19 and will cover how practitioners can turn cloud cost visibility into action and explore new cost views in Resource Explorer and Cloud Budget Alerts to help teams stay ahead of spend and act faster across multi-cloud environments. May 19 at 10 AM CT 👉 Register here 🍽️ Chicago User Group The team is heading back on the road with an upcoming Chicago user group, featuring community conversations and field engagement with LogicMonitor experts. May 27 at 6 PM CT 👉 Register here Resources and Review 🏅Want to upskill? Earn your Alerts badge ! 💻 Review the slide deck here 📹Watch the recording here or directly on the event page .
Sky DonnellPosted 2 months ago
0
Tech Talk
What's Happening at LM - April 2026 Edition

Welcome to the April edition of What’s Happening at LM! Each month, we bring you the latest on events, programs, and opportunities to get more involved in the LogicMonitor Community. Whether you’re looking to sharpen your skills, connect with other users, or stay current on product updates, this monthly roundup is your go-to source for staying plugged in. Let’s take a look at what’s ahead this month. Ways to Engage ⚡️ Product Power Hour: Smarter Alerting That Drives Faster Action Join us to explore how to increase signal fidelity, ensure alerts reach the right teams, and accelerate response with a scalable approach to alerting and topology-aware operations. Thursday, April 23 at 1 PM CT ➡️ Register here ⚡️ Product Power Hour: Detect Digital Experience Issues Earlier with Catchpoint See how Catchpoint helps teams detect digital experience issues earlier and gain clearer visibility across web, network, and end-user performance so they can troubleshoot faster and respond before issues become business-impacting incidents. Tuesday, May 5 at 11 AM CT ➡️ Register here 🚀 1H Announcement Webinar: Autonomous IT is Here: What’s New Across the LogicMonitor Platform Join us on for a live look at the latest innovations across the LogicMonitor platform. The webinar will cover how AI-driven automation, contextual intelligence, and end-to-end visibility are coming together to support the journey to Autonomous IT. 📅May 12 at 12 PM CT ➡️ Register here 🍽️ User Group Dinners Connect directly with LM users and LogicMonitor leaders in a casual, small-group setting. Share ideas, hear real-world stories, and grow your network with fellow practitioners. San Francisco/Bay Area: April 28 Chicago: May 27 Build Your Skills Accelerate Edwin AI Teams with Enablement LM Academy’s Edwin AI Training Program is designed to help teams drive successful implementations, speed time to value, and increase adoption through greater confidence and better outcomes. Earn the Edwin AI Badge Start with foundational knowledge and core capabilities through the Edwin AI Badge. This on-demand learning path is a strong first step for new users who want to build confidence with Edwin AI. For all new users 2 hours on-demand Begin with the badge ➡️ Start here Edwin AI Administrator Live Class Designed for admins, key stakeholders, and power users, this one-day instructor-led class helps teams prepare for deployment, optimize implementation, and drive business workflows. 1-day live instructor-led training Hands-on labs in Edwin AI sandbox beginning in Q2 Pre-deployment On-site or virtual delivery $6,000 for up to 12 participants Edwin AI End-User Live Class Built for end users such as Tier 1 engineers, this live session advances users from navigation to confident, effective usage. 3-hour live instructor-led training Hands-on exercises Post-deployment Virtual delivery Included at no cost with the Edwin AI Administrator training package For more information about Edwin AI training packages, please reach out to your account manager. Product Updates April Releases: v237 Highlights - coming soon Enhanced dashboard widgets and reporting Improved query and log usability with bulk actions and property sorting Introduced Cloud Budgets and alerting for cost control Improved platform scalability and tenant-level limits Delivered compliance and data retention enhancements For the latest details, be sure to check the release notes and documentation updates in Community and Support. Platform Lifecycle & Security Updates Apache Groovy 2 to 4 Migration: Key Milestone Update An upcoming patch release will remove support for Apache Groovy 2 on the GD Collector. Targeted for April 13, 2026 End of Sale for On-Demand Legacy Websites Effective April 30, 2026 , non-SKU subscribers using Legacy Websites on an on-demand basis will no longer be able to purchase or use the product. This change does not affect currently subscribed customers. As part of this transition, LogicMonitor is guiding customers toward LM Uptime , our next-generation website and service monitoring solution. End-of-Life for API v1 and v2 for New Customers Only Starting April 30, 2026 , new portals created after the EOL date will support API v3 only . UIv3 Dashboards Deprecation Beginning April 30, 2026 , UIv3 Dashboards will be retired. Customers will continue using UIv4 Dashboards. Deprecation for Legacy Versions 5, 6, 7, and 8 for LM Container and Argus Access to versions 5 through 8 will be removed on July 31, 2026 . Thanks for tuning in to this month’s update! We’re excited about all the ways you can connect, learn, and grow with us, both online and in person. Keep an eye on the Community for more announcements, and look out for next month’s edition of What’s Happening at LM as we continue to share new opportunities and highlight what’s coming next.
Sky DonnellPosted 2 months ago
0
Product Power Hour
AI Investigation Enhancements for Faster Resolution: Product Power Hour Recap

Overview LogicMonitor’s March 31 Product Power Hour highlighted how AI-driven investigations are becoming more precise, explainable, and operationally useful for technical teams working through incidents at speed. The session focused on recent enhancements to Edwin AI, including problem management, topology-based correlation, deeper log-driven root cause analysis, and change-aware investigations that help teams move from alert to action faster. A major theme throughout the conversation was trust. Attendees wanted to understand not just what Edwin recommends, but why it made that recommendation , what evidence it used, and how that information can be pushed into the tools their teams already rely on. The product team addressed that head-on by showing how Edwin surfaces logs, change requests, topology context, and knowledge sources directly inside the investigation experience. Key Highlights 🌟 Edwin AI now provides richer AI investigations with natural language summaries, root cause analysis, and actionable remediation guidance based on alert, log, and change data. 🌟 A new problem management experience helps teams identify recurring issues across the last 90 days so they can focus on deeper root cause resolution instead of repeatedly treating symptoms. 🌟 Topology-based correlation is helping Edwin group alerts more intelligently by understanding device relationships and dependency patterns. 🌟 The team shared that ServiceNow change integration is available today , with Jira planned next. 🌟 Customers showed strong interest in extending Edwin with additional data sources, especially Catchpoint, SOP and knowledge content, and metrics-driven reporting . 🌟 The discussion reinforced that users want Edwin to support both workflows: deep investigation in the Edwin UI and pushing relevant context into ITSM systems. Q&A Q: Is build of the topo maps dependent on monitoring protocols used? For example, SSH versus SNMP to monitor network devices? A: Yes. How we pull information from LogicMonitor depends on their dedicated topology sources, which use a mix of four or five different protocols to build the maps. It depends on the type of devices you are monitoring in LogicMonitor, and that dictates how the maps are built. We also are not limited to only network and network maps in the Element Vision side. If you have VMs, you will still get a map or connections that we can pull through to Edwin soon as well. Q: Can you use topology maps from other products such as NetBrain? A: Not right now. We are currently experimenting with Dynatrace, which has an MCP available that lets us fetch topology information. In theory, if NetBrain or another third party has an equivalent way for us to fetch topology information, then yes, we would be able to layer that into what we have. The key requirement is access to topology information in a format where we can determine how systems are connected. Q: What sources can you tap into for SOP-type material? A: Right now we are connected to ServiceNow, so you can set up the LMDX integration to allow us to read those articles. Next on the list are Confluence articles and SharePoint via MCP. If there is another data source you are interested in, please share it, because we are able to start adding those integrations. We can also do a public knowledge search, so if you want to tap into vendor documentation or other publicly available web content, you can query that from the agent too. Q: Is the change integration available today? A: Yes, it is with ServiceNow. If ServiceNow is your ITSM, that is available today. We are working on Jira next for changes. Q: It seems like there used to be an available Edwin AI Python SDK integration under Settings. I do not see it now. Am I misremembering it being available? A: It is available. We might just have to pass you the files for the SDK, because I do not think it is available to download anywhere. It should include how you send through events if you want to set up a custom integration. The other option is to use the webhook if you want to send events or information into Edwin, and it sends to that same endpoint as long as you include the required fields. Q: Is there an article for the webhook approach too? A: Yes. We do have documentation, although it probably needs to be updated because it does not clearly list the endpoint, which is likely the most helpful part. Right now it mostly covers the required fields, but we can make sure it gets updated so the endpoint is more obvious. Q: Could you tell us what’s behind the AI at LogicMonitor? What technologies, approaches, or architecture are used to build and operate this solution? A: It varies depending on the use case. Forecasting, for example, is best handled with a regression algorithm based on historical data. Edwin AI leverages both ML models and agentic frameworks to correlate alerts and fetch information from third-party sources. We try to match the type of AI we use to the particular use case we are solving for. Q: Why was the AI in LogicMonitor named Edwin? Is there a specific meaning or story behind that name? A: It was named after Edwin Hubble. The idea is that the Hubble telescope helped discover and reveal more of what is out there in space, and Edwin AI is meant to do something similar for your observability systems by combining information and giving you insights into your data. Customer Call-outs ⭐“Pushing the data into ITSM is necessary for sure. The additional functionality added to Edwin makes it compelling for SA's to use the Edwin UI.” What's Next ⚡Product Power Hour Smarter Alerting that Drives Faster Action April 23rd | 1pm CT The next Product Power Hour will focus on alerts, including alert tuning, management, routing, and upcoming alert-related features. This session is a strong follow-up for teams looking to improve signal quality and operational response workflows. 👉 Register here today 🪵Logs for Lunch More Value and Less Worry with Log Partitions April 8 | 12pm CT The next Logs for Lunch session will cover log partitions and will take place at 12:00 p.m. Central Time. This is a useful session for practitioners looking to deepen their log management strategy. 👉 Register here today 🍽️ User Group Dinners Join us as we head back on the road! Connect in person with other LM users in your city over dinner and real talk. Share wins, swap stories, and grow your network. San Francisco/Bay Area - April 28 Chicago - May 27 Resources and Review 🏅Want to upskill? Earn your Edwin AI badge ! 💻 Review the slide deck here 📹Watch the recording here or directly on the event page .
Sky DonnellPosted 3 months ago
0
Product Power Hour
February Product Power Hour Recap: Removing Analytics Bottlenecks: From Investigation to Reporting

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 Register today 🪵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 .
Sky Donnell4 months ago
0
Product Power Hour
December Product Power Hour Recap: Accelerating Troubleshooting with Automated Diagnostics

In our final Product Power Hour of the year, we explored how Automated Diagnostics accelerates troubleshooting by adding real-time, actionable context to alerts. Ed and Patrick walked through configuration, execution models, and future enhancements while showcasing how diagnostics streamline triage and reduce MTTR. The session drew strong engagement, with customers expressing enthusiasm and offering thoughtful questions that helped clarify functionality and roadmap direction. Key Highlights ⭐ Automated context at alert time - diagnostics can run as soon as an alert triggers, giving teams immediate visibility into the issue without waiting for manual investigation. ⭐ Flexible execution workflows - diagnostics can be configured to run automatically, on-demand, or through escalation chains, enabling workflows that validate issues before ticketing. ⭐ Granular RBAC controls - separate roles for diagnostics and remediation ensure teams can restrict execution permissions as needed. ⭐ Service-level and multi-device diagnostics planned - customers highlighted the need to run diagnostics across multiple systems, which is already on the roadmap. ⭐ Community interest in shared modules - attendees expressed excitement for community-built diagnostics and future sharing mechanisms. Q&A Highlights Q: How will Automated Diagnostics integrate with Edwin AI? A: First: getting the output of diagnostics into Edwin AI. Second: using that data to train Edwin AI’s models. Third: Edwin AI being able to execute diagnostics or remediation actions directly. That’s the pathway we’re heading toward. Q: If we already have LM Logs integrations configured, can diagnostics leverage that data? A: Yes. Right now, as far as automation goes, these would be triggered by data source alerts, but the plan is to extend that so they can be triggered by any type of alert, whether that’s from logs, configs, etc. The plan is to make these very extensible for any incoming data. Q: Will Automated Diagnostics eventually run across multiple servers or services? A: Today, Automated Diagnostics is limited to automatically executing against the resource that went into the alert condition. Integrating this closely with our services is definitely part of our plans. Q: Will diagnostics work on GA 39.001? A: They will be able to run on GD 39.001. For more information, visit the release notes for 39.001 as the latest GD collector release. Q: Can SSH-based diagnostic modules run on Linux devices monitored via SNMP? A: Yes, diagnostics can run on devices monitored using SNMP as long as the collector has the correct access (e.g., SSH credentials) to execute the diagnostic. Q: Are REST API calls allowed in diagnostic scripts? A: Yes, and you can get really creative with REST API calls — essentially, you can write a Groovy script to do whatever you want. Q: Are diagnostic permissions all-or-nothing today? A: Yes. Users can either view and manage or see nothing. Q: Will Role-Based Access Control (RBAC) for Automated Diagnostics and Automated Remediation be separate? A: Yes. Diagnostics and remediation permissions are separate, allowing organizations to grant diagnostic execution without allowing remediation actions. Q: What license is required for Automated Diagnostics? A: Today, this feature is available as part of our new Advanced and Signature platform packages. Outside of that, if you're currently on an Enterprise package or something like that, there is an add-on that you could work with your CSM to talk through the details of that. Customer Callouts ⭐ "I'm stupidly excited about these [features]. Can't wait for the demo." ⭐ "Definitely would be interested in any community modules people have made or are looking to make." ⭐ "This was great. Best demo I have had… really appreciate the live demo and answering all the questions so honestly and openly." ⭐ "Dashboarding is what makes LM better than all the other platforms for monitoring." What’s Next 🎁 LogicMonitor 2025 Wrapped: Unified Observability Without Blind Spots Join us for a special year-end event where we’ll unveil how LogicMonitor and Catchpoint joining forces transform LM Envision into the industry's leading AI-first observability platform. This session will cover: A showcase of 2025’s biggest product announcements, platform advancements, and community impact A first look at how LogicMonitor + Catchpoint delivers unified observability without blind spots A preview of how this momentum sets the foundation for innovation in 2026 📅 Wednesday Dec 17, 12 pm CT 👉 Register here 🪵Logs for Lunch Rapid Troubleshooting Using New Saved & Shared Queries 📅 Wednesday, Jan 14, 2026 🕙 10 AM PT / 12 PM CT / 1 PM ET / 6 PM GMT 👉 Register here Additional Resources If you missed any part of the session or want to revisit the content, we’ve got you covered: Watch the recording here
Sky DonnellPosted 6 months ago
0
Product Power Hour
November Product Power Hour Recap: Exploring Agents with Edwin AI

Overview This month’s Product Power Hour explored the evolution of Edwin AI’s Agent Framework , showing how LogicMonitor is building toward a more autonomous, intelligent observability platform. The session highlighted how agents connect across systems, correlate data, and simplify root cause analysis, all while keeping compliance and control top of mind. Attendees saw a live demo of new agent types, learned how AI-powered insights are driving faster triage, and previewed what’s next for 2026. Key Highlights ⭐ Edwin AI’s Agent Architecture took center stage, showcasing how internal and external agents work together to enrich context, automate responses, and reduce manual triage. ⭐ LMDX extensibility is unlocking new customization opportunities, allowing customers to build and deploy their own internal agents without added licensing. ⭐ Security and compliance remain a top priority, with the team sharing a new FAQ resource that details Edwin AI’s privacy, governance, and data protection standards. ⭐ MSP tenant segmentation has arrived, enabling per-client control and safe, isolated deployment options for managed service providers. ⭐ UI integration is on the horizon, with the roadmap confirming plans to embed Edwin AI directly within the LogicMonitor platform for a unified user experience. Q&A Highlights Q: Which LLM model is under the hood, and what is the available context size? A: Edwin AI’s architecture is LLM-agnostic—it can integrate with different large language models based on use case and fit. Q: When searching for an issue related to a device, can it search logs to help find the root cause? A: Yes, Edwin AI can correlate data across alerts, incidents, and logs to identify likely root causes. Q: How does Edwin AI ensure data privacy and compliance with company policies? A: A comprehensive security FAQ covers data privacy and governance best practices and is available through the product team. Q: As an MSP, how would per-client segregation work? A: Edwin AI supports per-tenant isolation, ensuring each client’s data and automation remain securely separated. Q: Can Edwin AI be deployed for one customer and not all customers under a company tenant? A: Yes, deployment can be selective, allowing MSPs to introduce Edwin AI gradually per client. Q: Can Edwin AI create dashboards or reports for SaaS outages (e.g., Cloudflare, Office365)? A: That functionality is part of upcoming workflow enhancements focused on automated incident and outage reporting. Customer Call-outs ⭐ "[This session was] a great look into how far Edwin AI has come." ⭐ "An exciting step forward for observability." ⭐ MSP participants highlighted that the ability to isolate tenants and deploy selectively was “a game changer.” ⭐ "[The demo] made AI practical and actionable!" What’s Next 👥 User Groups Connect with other LM users in your region, share wins, swap stories, and grow your network. 💻 Virtual User Groups: 🌎 AMER East - Dec 2 at 11am EST 🌐 Register here 🌎 AMER West - Dec 2 at 11am PST 🌐 Register here 🌍 EMEA - Dec 3 at 1pm GMT 🌐 Register here 🌏 APAC - Dec 4 at 10am AEDT 🌐 Register here Note: As we finalize our speakers, these dates and times may change. Be sure to register for your respective region above so we can keep you informed! 🪵Logs for Lunch Proactive Log Monitoring Learn how LogicMonitor’s log analytics help identify anomalies, correlate events, and reduce downtime before incidents occur. 📅 Wednesday, December 10, 2025 🕙 10 AM PT / 12 PM CT / 1 PM ET / 6 PM GMT 👉 Register Now ⚡Next Product Power Hour Accelerated Troubleshooting with Automated Diagnostics Discover how Automated Diagnostics speeds up alert triage using real-time data and AI insights. 📅 Tuesday, December 10, 11 AM CT 👥 Featuring product and training leaders from the Edwin AI team 👉 Register Now 🎁LogicMonitor 2025: Wrapped Celebrate this year’s biggest innovations, milestones, and community moments in our end-of-year showcase. 📅 December 17, 12 PM CT 👉 Register Now Review & Resources If you missed any part of the session or want to revisit the content, we’ve got you covered: Review the slide deck Check out the Edwin Before the Action: Are You Edwin AI Ready? blog Want to dive deeper into this session? Watch the recording here
Sky DonnellPosted 7 months ago
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Product Power Hour
October Product Power Hour: App Visibility with ITOps

Overview October’s Product Power Hour took us deep into Application Visibility for ITOps , featuring a hands-on demo of Dynamic Service Insights (DSI) and LM Uptime , the latest innovations designed to simplify service mapping and amplify visibility across complex hybrid environments. The session delivered live demos, customer-driven discussions, and expert insights into how LogicMonitor can dynamically model your business services, link application layers, and accelerate root cause analysis. Attendees walked away ready to bring clarity and efficiency to their service monitoring strategy. Key Highlights ⭐ Dynamic Service Insights in Action : See how DSI automatically builds services from custom properties, saving time and ensuring continuous accuracy. ⭐ End-to-End Service Modeling : Discover how to link technologies like F5, web servers, app tiers, and databases for true end-to-end visibility. ⭐ Contextual Alerting & Visualization : Learn how aggregated, service-level alerts minimize noise while improving MTTR. ⭐ ITSM Alignment : DSI supports immutable IDs and friendly names, making it easy to sync with your ITSM workflows. ⭐ Community Excitement : Customers shared real-world use cases and early wins, from reducing manual setup to improving collaboration across teams. Q&A Q: How does DSI reduce complexity in service setup? A: DSI dynamically builds and updates services based on defined properties. There is no need for manual service configuration as your environment changes. Q: Can I model complete end-to-end services (for example, F5 → web → app → database)? A: Yes. You can create linked service definitions that connect all these components for full-stack visibility. Best practices include defining relationships at each layer using consistent naming conventions and grouping resources under business-critical services for faster troubleshooting. Q: How can Dynamic Service Insights help correlate low MOS call scores with specific network devices causing jitter, latency, or packet loss? Can this mapping be automated? A: DSI enables correlation across network and application layers by mapping related metrics to shared service properties. This allows you to associate low-quality voice or collaboration data (such as MOS scores) with the underlying network devices introducing packet loss or latency, providing actionable insights and automated context. Q: Can alerts roll up to the service level instead of flooding my inbox with device alerts? A: Yes. DSI surfaces a single contextual alert that aggregates underlying data, giving you clarity and less noise. Q: How can I align LogicMonitor services with my ITSM system? A: Use immutable service IDs alongside friendly names. They can coexist to improve reporting and maintain ITSM alignment. Customer Call-outs ⭐ “OMG I am jumping up and down with joy right now!” ⭐ “This really helps with complexity. We can finally create services dynamically!” ⭐ “We’d love to join the Services Beta and integrate this with our dashboards.” ⭐ “Great job, team. Very insightful!” What’s Next 👥 User Groups Connect with other LM users in your region, share wins, swap stories, and grow your network. 💻 Virtual User Groups: 🌎 AMER East - Dec 2 at 11am EST 🌐 Register here 🌎 AMER West - Dec 2 at 11am PST 🌐 Register here 🌍 EMEA - Dec 3 at 1pm GMT 🌐 Register here 🌏 APAC - Dec 4 at 10am AEDT 🌐 Register here 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! Webinars 🪵 Logs for Lunch - Maximizing LM Logs for Faster Troubleshooting Nov 12 - register today ⚡ Product Power Hour - Exploring Agents with Edwin AI Nov 18 - register today Badges & Certifications Earn free, on-demand badges that validate your LogicMonitor skills: 🛡️ Getting Started 🛡️ Collectors 🛡️ Logs 🛡️ AI Ops Adoption 🛡️ Dashboards 🛡️ NEW: Service Insights 🛡️ NEW: Alerts Start learning today on LM Academy Review & Resources If you missed any part of the session or want to revisit the content, we’ve got you covered: Review the slide deck Dynamic Service Insights Solution Brief Want to dive deeper into this session? Watch the recording here
Sky DonnellPosted 8 months ago
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Events

Sky Donnell
December 10 Product Power Hour: Accelerating Troubleshooting with Automated Diagnostics

Product Power Hour: Automated Diagnostics in LogicMonitor Date: Wednesday, Dec 10, at 11am CT Register Here Join us for this edition of Product Power Hour, your monthly deep dive into the latest and greatest from LogicMonitor! Hosted by the LM Community, Product, and Training & Enablement teams, this session will spotlight Automated Diagnostics —LogicMonitor’s new troubleshooting accelerator. Automated Diagnostics allows you to define and run diagnostic scripts that automatically capture key troubleshooting data when alerts occur (e.g., top CPU or memory processes). This reduces manual steps, speeds root cause analysis, and enriches alerts with actionable diagnostic context directly in the LogicMonitor portal. Featuring Guest Speakers: Ed McGowan , Sr Product Manager Barry Ballard, Sr. Manager, Global Training Delivery What You’ll Learn: ⚡ Accelerated Troubleshooting: See how Automated Diagnostics enriches alerts with context and eliminates repetitive first-line triage steps. 🧠 Faster Root Cause Analysis: Learn how capturing key metrics at the moment of alert helps reduce MTTR. 📊 Seamless LM Integration: Stay in the LM portal with diagnostics tied directly to alerts, resources, and historical data. 🔐 Customizable & Secure: Explore granular RBAC, usage tiers, and how to adapt diagnostics to your unique environment. 🎬 Live Demo + Q&A: Watch Automated Diagnostics in action and bring your questions for our product experts. This session is perfect for ITOps and NetworkOps practitioners, Application Engineers, Service Owners, and anyone troubleshooting alerts in LogicMonitor .
9 months ago
0
Events

Sky Donnell
November 18 Product Power Hour: Exploring Agents with Edwin AI

Product Power Hour: Exploring Agents with Edwin AI Date: Tuesday, November 18, at 10am CT Register Here Join us for this edition of Product Power Hour, your monthly deep dive into the latest and greatest from LogicMonitor! Hosted by the LM Community, Product, and Training & Enablement teams, this session will spotlight Edwin AI’s new Agent Ecosystem: specialized AI agents designed to accelerate every stage of the incident lifecycle. See how Edwin AI evolves beyond a single agent into a network of specialists—from event intelligence and ITSM, to telemetry, on-call, automation, and more—all orchestrated to take you from alert to resolution faster, with fewer silos and manual bottlenecks. Featuring Guest Speakers: Sarah Luna, Principal Product Manager, AI Max Bradley , Sr Sales Engineer, AI What You’ll Learn: 🤖 Meet the Agents: Discover how event intelligence, ITSM, telemetry, and automation agents each master a critical stage of incident response. 🧠 Orchestration in Action: Learn how the Orchestrator Agent coordinates specialists to triage, diagnose, and remediate seamlessly. ⚡ End-to-End Workflow Demo: Watch Edwin AI resolve a critical alert - from AI summaries and anomaly detection to automated rollback and post-mortem generation. 📈 Best Practices: Practical guidance to pilot agent-assisted incident response in your own environment. 🎬 Live Demo + Q&A: See Edwin AI in action and bring your questions for our product experts. This session is perfect for ITOps, SRE, and platform teams looking to scale operations and reduce MTTR with the power of AI-driven agents.
9 months ago
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