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User Group

LM News
From Campus Conversations to Community Connections: Join Our Upcoming User Group Sessions

Our Q3 User Group events bring the LogicMonitor Community together across industries, cities, and shared experiences. We’re kicking things off with our inaugural Higher Education virtual session, followed by the return of our in-person User Group dinners—and wrapping up the series with a special gathering during Elevate Community Conference in Chicago. Whether you’re managing campus infrastructure, looking to exchange ideas with peers in your region, or attending Elevate, there’s a User Group event for you. Inaugural Higher Education Virtual User Group We’re excited to host our first Higher Education Virtual User Group on September 9. This customer-led session will feature Devon Biancarelli-Milano, Network Engineer at a leading university, who will share how his team uses LogicMonitor to maintain critical campus infrastructure and streamline IT operations. The presentation will be followed by an open discussion where higher education peers can share challenges, questions, and best practices. When: September 9, 2026, at 3:00 p.m. ET Where: Virtual Register for the Higher Education Virtual User Group User Group Dinners Are Back on the Road After our virtual kickoff, we’re getting back on the road with two informal User Group dinners in the AMER East region. These gatherings are a great opportunity to connect with fellow LogicMonitor customers, exchange practical insights, and enjoy dinner hosted by the LM Community. Nashville User Group Dinner Join us in Nashville on September 22 for an evening of peer networking, real-world use cases, and best-practice sharing. The agenda is intentionally flexible, giving attendees plenty of room to ask questions, compare experiences, and connect with other LM Community members. When: September 22, 2026 Where: Nashville, TN — restaurant details to come Register for the Nashville User Group Dinner Atlanta User Group Dinner On September 24, we’ll continue the User Group tour in Atlanta with an evening gathering in partnership with Topgolf. Come connect with other LogicMonitor users, share what’s working in your environment, and enjoy dinner and time together outside the office. When: September 24, 2026 Where: Topgolf ATL Midtown, 1600 Ellsworth Industrial Blvd NW, Atlanta, GA 30318 Register for the Atlanta User Group Dinner Wrap Up the Quarter at Elevate in Chicago Attending Elevate Community Conference? Join us the night before the conference begins for a special Chicago User Group Dinner on October 13. This gathering at Pizano’s South Loop is designed for LogicMonitor customers to meet in person, swap insights and best practices, and build connections before the Elevate experience gets underway. Bring your questions, your latest use cases, and your appetite for a great community conversation. When: October 13, 2026 Where: Pizano’s Pizza & Pasta, 2106 South Indiana Avenue, Chicago, IL 60616 Register for the Chicago User Group Dinner at Elevate Save Your Seat From a focused conversation for higher education technology teams to regional dinners and our Elevate kickoff gathering, these events are built around the same idea: the best insights often come from people solving similar challenges every day. Register today to join the conversation!
Sky DonnellAdminPosted 1 month ago
0
User Group
We’re Hitting the Road Again! Join Our User Group Dinners in the Bay Area and Chicago

We’re back on the road and kicking off our next round of User Group Dinners with the first two stops in the Bay Area on April 28 and Chicago on May 27 . If you’ve been looking for a chance to connect with fellow users in person, swap ideas, share wins, and have real conversations with peers in your area, this is it. These dinners are all about bringing the community together. You’ll have the chance to meet other local professionals, hear how teams are tackling similar challenges, exchange best practices, and build new relationships in a relaxed, welcoming setting. Whether you’re a longtime member of the community or joining us for the first time, we’d love to see you there. We’re excited to get back out and reconnect face-to-face, and these first two dinners are just the beginning. Upcoming User Group Dinners Bay Area on April 28 Chicago on May 27 Save your spot and join us for an evening of conversation, connection, and community.
Sky DonnellAdminPosted 6 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 DonnellAdminPosted 6 months ago
0
Discussion
MSP Connection

Sky DonnellAdmin
User Group Virtual Recap March 2026 | MSP

Overview In our first MSP User Group included managed service providers from across the globe, including the US and South Africa, for a highly candid and tactical discussion on scaling monitoring operations, automating service management, and preparing for AI-driven event correlation. This session spotlighted a real-world MSP journey from Emerge IT Solutions, sharing how they transformed LogicMonitor from a lightly used monitoring tool into a core operational engine , reducing ticket volume by 25 percent in nine months. The conversation centered on operational maturity, API-driven automation, and aligning the monitoring strategy with executive visibility and the customer experience. For MSP leaders navigating margin pressure, tool consolidation, and service differentiation, this was a practical deep dive into how to evolve from reactive monitoring to structured, proactive service intelligence. Key Highlights From Reactive to Proactive Ops : Split technical operations into reactive and proactive teams to identify trends instead of just resolving tickets. 25% Ticket Reduction : Leveraged LogicMonitor API and Power Automate workflows to reduce overall service desk tickets by approximately 25 percent over nine months. API Driven Automation : Queried open alerts, acknowledgment status, and ticket state via API to auto-create, reopen, or notify engineers based on defined rules. Trend Detection Framework : Defined repeat alert thresholds, such as eight occurrences in fourteen days, to automatically trigger investigation tickets instead of repetitive reactive fixes. Standardization Over Custom Sprawl : Consolidated alert rules and escalation chains across customers to maintain scalable service delivery while allowing controlled deviations. Executive Reporting Challenges : MSPs shared practical strategies for delivering simplified SLA and uptime dashboards that focus on green checkmarks rather than raw alert data. Q&A Q: How are you automating ticket validation and alert management across customers? A: “We’re using primarily the LogicMonitor API, our ticketing system ConnectWise, and Microsoft Power Automate. We’ll get all open critical and error alerts, check SDT and acknowledgment status, compare against tickets, and automatically create, reopen, or notify engineers based on those conditions.” Q: How are you identifying recurring issues or trends instead of repeatedly resolving the same alerts? A: “If something’s been eight times or more within fourteen days, that’s our definition of a trend. We create a ticket for investigation, not resolution. That shifts the mindset from reactive to proactive.” Q: What licensing tier supports this type of MSP automation strategy? A: “We’re primarily using the resource-based licensing. Basic access to the resource tree is enough to retrieve the API data we need.” Q: How are MSPs approaching executive-level reporting? A: “Services dashboard [widget] has been useful. Being able to show green, yellow, or red indicators at a service level really drills it down for executives. As long as it’s green, that’s what they want to see.” Q: How are you approaching Edwin AI adoption as an MSP? A: “Our goal is to use Edwin AI to replace MookSoft as an aggregator. We want Edwin to consolidate LogicMonitor alerts and eventually external vendor alerts before sending appropriate events into ConnectWise.” Customer Call-outs ⭐ “We’ve been able to reduce about 25 percent of the number of tickets overall that have come into our service desk over the last nine months.” ⭐ “Let computers compute so people can be personal.” What’s Next 🎿 LogicMonitor Ski School March 9 – April 5 Our 4-week digital enablement program is designed to accelerate adoption and build confidence with AI-powered observability. Participants will: Fast-track LogicMonitor and Edwin AI skills Join weekly live expert demos and open Q&A Earn 4 badges, including the new Edwin AI badge Apply AIOps best practices in real-world use cases If your team is working toward operationalizing AIOps with structure and governance, this is a strong starting point. ➡️ Join today Logs for Lunch Insight from Logs with Edwin AI March 11 Leverage log data in LM Envision to gain smarter, faster insights with Edwin AI. This session focuses on practical techniques for using logs to support investigations, reduce noise, and accelerate root cause analysis. ➡️ Register here Product Power Hour Performance Without Blind Spots: End-to-End Internet Performance Monitoring March 12 Digital service performance depends on systems outside your direct control, including cloud providers, SaaS platforms, APIs, and third-party infrastructure. This session explores how Catchpoint extends visibility across the full internet stack to help close that visibility gap. ➡️ Register here AI Investigation Enhancements for Faster Resolution March 17 Learn how AI-assisted investigations help teams move from alert to insight faster. See how contextual intelligence reduces time spent manually querying data while services are under pressure. ➡️ Register here
7 months ago
0
Discussion
Virtual User Group | EMEA

Sky DonnellAdmin
User Group Virtual Recap March 2026 | EMEA

Overview The March EMEA User Group brought together MSPs, enterprise network teams, and global service owners for a candid and highly practical discussion around monitoring consolidation, automation, and future-proofing infrastructure observability. This session featured a deep dive into a customer's journey from a fragmented, aging monitoring stack to a consolidated LogicMonitor platform supporting over 5,000 network devices and 6,500+ access points globally. What stood out most was not just tool consolidation, but how automation, API driven integrations, and structured alert tuning reduced operational overhead while improving visibility. The conversation also surfaced honest feedback around reporting limitations, topology mapping expectations, Windows monitoring strategy, and readiness for Edwin AI adoption. For technical practitioners and service owners, this was a grounded, real world look at monitoring modernization inside a global enterprise environment. Key Highlights Toolset Consolidation : Replaced multiple legacy Java based tools with a single LogicMonitor deployment supporting network, NetFlow, and syslog collectors. Rapid Onboarding Success : Migrated devices under aggressive timelines, completing onboarding in days instead of months. API Driven Automation : Integrated internal asset databases and Catalyst Centers via API to fully automate device lifecycle management. Alert Noise Reduction : Reduced alert volume by more than 60 percent through classification, threshold tuning, and dynamic threshold adoption. Automated Diagnostics in Action : Leveraged automated diagnostics and scripted remediation to restart services on legacy systems without manual intervention. Custom Compliance Visibility : Built software compliance dashboards using property sources and custom attributes to dynamically categorize devices as Gold, Silver, or Non-Compliant. Q&A Q: Are you planning to use Edwin AI to consolidate alerts into incidents? A: “Yes, Edwin AI is definitely on the plate to be tested.” Q: Why prioritize other initiatives before Edwin AI? A: “We still have to clean up our alerts. Before that, it doesn’t make sense to hop on Edwin AI because it will just throw tons of alerts at us.” Q: How did you automate device onboarding and lifecycle management? A: “We integrated Catalyst Centers and our internal asset database with the LogicMonitor API. Nobody has to manually add or delete devices anymore.” Q: What challenges remain? A: “Topology maps are evolving, but deeper visibility such as VLAN assignment and interface details directly within the map would help troubleshooting.” Q: Where does LogicMonitor still need improvement? A: “Reports are often limited. For large data sets, we are forced to export CSV and process externally.” Customer Call-outs ⭐ “The default setup already identified infrastructure issues that the former solution wasn’t even aware of.” ⭐ “We reduced alert noise more than 60 percent.” What’s Next 🎿 LogicMonitor Ski School March 9 – April 5 Our 4-week digital enablement program is designed to accelerate adoption and build confidence with AI-powered observability. Participants will: Fast-track LogicMonitor and Edwin AI skills Join weekly live expert demos and open Q&A Earn 4 badges, including the new Edwin AI badge Apply AIOps best practices in real-world use cases If your team is working toward operationalizing AIOps with structure and governance, this is a strong starting point. ➡️ Join today Logs for Lunch Insight from Logs with Edwin AI March 11 Leverage log data in LM Envision to gain smarter, faster insights with Edwin AI. This session focuses on practical techniques for using logs to support investigations, reduce noise, and accelerate root cause analysis. ➡️ Register here Product Power Hour Performance Without Blind Spots: End-to-End Internet Performance Monitoring March 12 Digital service performance depends on systems outside your direct control, including cloud providers, SaaS platforms, APIs, and third-party infrastructure. This session explores how Catchpoint extends visibility across the full internet stack to help close that visibility gap. ➡️ Register here AI Investigation Enhancements for Faster Resolution March 17 Learn how AI-assisted investigations help teams move from alert to insight faster. See how contextual intelligence reduces time spent manually querying data while services are under pressure. ➡️ Register here
7 months ago
0
Discussion
Virtual User Group | APAC

Sky DonnellAdmin
User Group Virtual Recap March 2026 | APAC

Overview The March APAC User Group delivered a deep technical dive into how Origin Energy’s Integrated Gas division is using LogicMonitor beyond traditional infrastructure monitoring. Rather than focusing solely on network devices and hardware health, the team has evolved their deployment into a functional observability layer that supports safety and critical operations, regulatory reporting, and automated remediation across a geographically vast asset footprint. Operating across thousands of gas wells spanning hundreds of kilometers in Queensland, the team leverages LogicMonitor to monitor AWS infrastructure, serverless applications, SQL data integrity, GIS systems, and orchestration workflows. The result is a unified operational view that reduces manual intervention, improves response times, and, in some cases, fully automates incident resolution. This session showcased how LogicMonitor can be extended from infrastructure visibility into business-critical process validation and operational resilience . Key Highlights Functional Monitoring at Scale : Monitors AWS resources, EC2 instances, serverless applications, and web services across a distributed energy production environment. GIS Platform Health Checks : Implemented layered web checks to validate not only URL availability but map layer content integrity for safety and critical systems. SQL Data Validation Alerts : Built custom SQL-based checks to validate daily production data completeness across thousands of wells before regulatory reporting deadlines. Serverless Log Intelligence : Routed filtered CloudWatch logs through Logstash before ingestion to control log volume costs while improving Lambda troubleshooting. Ansible Auto-Remediation : Integrated LogicMonitor alerts with Ansible playbooks to automatically rebuild failing load balancer target groups without human intervention. PagerDuty + ServiceNow Integration : Established shared escalation paths to ensure alerts trigger structured response workflows across teams. Q&A Q: How is ServiceNow integrated into your escalation workflows? A: “It was pretty much out of the box. The only complication was that we use ServiceNow in a specific way internally, but the integration with LogicMonitor itself was straightforward.” Q: How long did it take to tune alerts to avoid noise? A: “It’s a never ending story. You’re always tuning alerts. If someone gets woken up at three in the morning for something that isn’t important, you know about it quickly.” Q: What drove the move to automated remediation with Ansible? A: “We had recurring load balancer failures where a target group would freeze. Once we detect the alert in LogicMonitor, it triggers an Ansible playbook that tears down the failing target group and rebuilds it automatically.” Q: Why introduce Logstash before ingesting logs into LogicMonitor? A: “Alerts are expensive in LogicMonitor, but they are everywhere else as well. We learned quickly to filter logs before they go into LogicMonitor rather than using it as a full log consolidation platform.” Q: How critical are these monitoring workflows to operations? A: “If SCADA systems aren’t available, the plant’s down. Availability of line of business applications isn’t just business continuity. It’s safety critical.” Customer Call-outs ⭐ “Serverless applications are a nightmare to debug. The more information you have in one place, the better.” ⭐ “If someone gets woken up at three o’clock in the morning for something that isn’t important, you know about it quickly.” ⭐ “Once we detect the alert, it fixes the problem without any intervention.” What’s Next 🎿 LogicMonitor Ski School March 9 – April 5 Our 4-week digital enablement program is designed to accelerate adoption and build confidence with AI-powered observability. Participants will: Fast-track LogicMonitor and Edwin AI skills Join weekly live expert demos and open Q&A Earn 4 badges, including the new Edwin AI badge Apply AIOps best practices in real-world use cases If your team is working toward operationalizing AIOps with structure and governance, this is a strong starting point. ➡️ Join today Logs for Lunch Insight from Logs with Edwin AI March 11 Leverage log data in LM Envision to gain smarter, faster insights with Edwin AI. This session focuses on practical techniques for using logs to support investigations, reduce noise, and accelerate root cause analysis. ➡️ Register here Product Power Hour Performance Without Blind Spots: End-to-End Internet Performance Monitoring March 12 Digital service performance depends on systems outside your direct control, including cloud providers, SaaS platforms, APIs, and third-party infrastructure. This session explores how Catchpoint extends visibility across the full internet stack to help close that visibility gap. ➡️ Register here AI Investigation Enhancements for Faster Resolution March 17 Learn how AI-assisted investigations help teams move from alert to insight faster. See how contextual intelligence reduces time spent manually querying data while services are under pressure. ➡️ Register here
7 months ago
0
Discussion
Virtual User Group | AMER West

Sky DonnellAdmin
User Group Virtual Recap March 2026 | AMER West

Overview The March AMER West User Group brought together network engineers, DevOps leaders, and IT operations teams for a highly engaging session centered on automation at scale. The discussion focused on eliminating manual remediation work, reducing SLA penalties, and using LogicMonitor as the foundation for intelligent, API-driven automation. In this session, Debasish Bahinipati shared a real-world automation journey at NICE, walking through how his team evolved from reactive tunnel-outage response to fully automated remediation. By combining LogicMonitor alerts with dynamic Python scripting and API orchestration, the team reduced customer downtime from 20 to 30 minutes to under one minute, without human intervention. The result was measurable impact. Over 4.25 million alerts have been automatically processed and remediated, dramatically improving uptime, operational efficiency, and customer satisfaction. Key Highlights Automation at Scale: Built a custom orchestration layer that reads active alerts via LogicMonitor API and dynamically generates remediation scripts. From 30 Minutes to 60 Seconds: Reduced SLA impacting tunnel outages from manual troubleshooting to near real-time automated resolution. 4.25 Million Alerts Processed: Successfully automated millions of remediation actions, saving significant operational time and penalty costs. Dynamic Script Generation: Used parameters driven by Python templates to generate runtime scripts based on alert metadata. Logging and Safeguards: Implemented full logging, output validation, encrypted variable handling, and retry logic to prevent misfires. Edwin and AIOps Discussion: Community members shared candid insights on early Edwin AI adoption, alert correlation challenges, and practical expectations for AI-assisted operations. Q&A Q: Have you run into any problems using LogicMonitor as the initial trigger for automation at scale? A: “When we went to production scale, we realized it wasn’t sixty seconds anymore. It was taking three or four minutes. We had to optimize our scripts, process from a queue, log unique alert IDs, add retries, and build exclusions to make it near real-time.” Q: Do you log when scripts run and whether they successfully fix the issue? A: “Whenever we run a script, we log everything. We log the alert ID, the full output of the commands, and whether it was successful or not. We even built an analyzer to validate whether the script output matches what we expect.” Q: Are logs and metrics stored natively in LogicMonitor? A: “We are pulling alerts from LogicMonitor through the API, but we built logging and time series tracking behind the scenes. We can see how many alerts we process per day, per hour, even in ten minute intervals.” Q: Have you evaluated Edwin AI for alert correlation and reduction? A: Community feedback highlighted strong out-of-the-box deduplication improvements, but also noted that AI-driven correlation still requires tuning and real-world validation before relying on it for full automation workflows. Customer Call-outs ⭐ “It’s a great presentation. The flexibility of the platform is amazing, especially when you get into scripts.” What’s Next 🎿 LogicMonitor Ski School March 9 – April 5 Our 4-week digital enablement program is designed to accelerate adoption and build confidence with AI-powered observability. Participants will: Fast-track LogicMonitor and Edwin AI skills Join weekly live expert demos and open Q&A Earn 4 badges, including the new Edwin AI badge Apply AIOps best practices in real-world use cases If your team is working toward operationalizing AIOps with structure and governance, this is a strong starting point. ➡️ Join today Logs for Lunch Insight from Logs with Edwin AI March 11 Leverage log data in LM Envision to gain smarter, faster insights with Edwin AI. This session focuses on practical techniques for using logs to support investigations, reduce noise, and accelerate root cause analysis. ➡️ Register here Product Power Hour Performance Without Blind Spots: End-to-End Internet Performance Monitoring March 12 Digital service performance depends on systems outside your direct control, including cloud providers, SaaS platforms, APIs, and third-party infrastructure. This session explores how Catchpoint extends visibility across the full internet stack to help close that visibility gap. ➡️ Register here AI Investigation Enhancements for Faster Resolution March 17 Learn how AI-assisted investigations help teams move from alert to insight faster. See how contextual intelligence reduces time spent manually querying data while services are under pressure. ➡️ Register here
7 months ago
0
Discussion
Virtual User Group | AMER East

Sky DonnellAdmin
User Group Virtual Recap March 2026 | AMER East

Overview The March AMER East User Group brought together network engineers, system administrators, and IT leaders for a highly tactical session focused on one mission: eliminating tool sprawl and operational noise . From API-driven dashboard customization to AI-powered alert deduplication, the conversation centered on how teams are building a true single pane of glass within LogicMonitor. Attendees walked away with practical examples of consolidating Cisco Catalyst Center, ISE, ServiceNow, and other platforms into unified, role-based dashboards that reduce context switching and improve time to resolution. A featured community presentation demonstrated how combining out-of-the-box monitoring with targeted API integrations enables teams to surface the metrics that actually matter, from P1 and P2 issue tracking to license utilization and endpoint visibility. Key Highlights API Driven Dashboards : Leveraged developer toolkits and APIs to pull data from Catalyst Center, ServiceNow, and other platforms directly into LogicMonitor widgets. Custom KPI Tracking : Built custom P1 and P2 issue metrics to trend incident severity and operational impact over time. ISE Optimization : Used mostly out of the box monitoring, with targeted customization for license usage and total endpoint visibility. ServiceNow Visibility : Created ticket volume dashboards by filtering ServiceNow tables and translating API outputs into LogicMonitor visualizations. 86 to 88% Noise Reduction : Achieved immediate alert deduplication improvements using Edwin, significantly reducing operational fatigue. Sandbox First Testing : Validated custom scripts and module updates in a lab environment before production deployment to maintain stability. Q&A Q: How much of this is out of box vs. custom module/API work for Cisco ISE? A: “A lot of the metrics that came in were out of the box. I would say the only two things that I made custom were the license status and I believe the total endpoints.” Q: How do you typically provision Resources (Devices) in LM? For example, NetScans? LM API calls? Do you have an external “source of truth” for your inventory that feeds LM provisioning? A: “Right now, we’re working on possibly getting ServiceNow CMDB set up for inventory. As it goes for NetScans, we don’t really rely heavily on NetScans… we relied just on manually adding those IPs rather than relying on NetScans.” Q: For ServiceNow integration, alerts are sent to ServiceNow. What are you doing to get ticket-related data into LM Envision? Any specific api call? Any ServiceNow module requirement to get that ticket data? A: We had to access ServiceNow, make these API calls that filter specific tables. Then, we get an overview of the tickets created in ServiceNow, first by making the API call for that particular graph and then translating it to LogicMonitor. Q: I’m curious, do you have a process for the team to assess whether the custom module needs to be updated following LogicMonitor or vendor platform updates? A: “For the most part, there is no workflow for that. LogicMonitor updates them as they come through. For ones that include more altering the script, I normally give that a few runs in our sandbox environment to test in our lab beforehand.” Customer Call-outs ⭐ “Nice job, Devon. I got a lot out of your usage to take back to my teams!” ⭐ “Right out of the box, we saw an 86 to 88% reduction in alert noise. That almost made it worth the initial purchase [of Edwin AI] by itself.” What’s Next 🎿 LogicMonitor Ski School March 9 – April 5 Our 4-week digital enablement program is designed to accelerate adoption and build confidence with AI-powered observability. Participants will: Fast-track LogicMonitor and Edwin AI skills Join weekly live expert demos and open Q&A Earn 4 badges, including the new Edwin AI badge Apply AIOps best practices in real-world use cases If your team is working toward operationalizing AIOps with structure and governance, this is a strong starting point. ➡️ Join today Logs for Lunch Insight from Logs with Edwin AI March 11 Leverage log data in LM Envision to gain smarter, faster insights with Edwin AI. This session focuses on practical techniques for using logs to support investigations, reduce noise, and accelerate root cause analysis. ➡️ Register here Product Power Hour Performance Without Blind Spots: End-to-End Internet Performance Monitoring March 12 Digital service performance depends on systems outside your direct control, including cloud providers, SaaS platforms, APIs, and third-party infrastructure. This session explores how Catchpoint extends visibility across the full internet stack to help close that visibility gap. ➡️ Register here AI Investigation Enhancements for Faster Resolution March 17 Learn how AI-assisted investigations help teams move from alert to insight faster. See how contextual intelligence reduces time spent manually querying data while services are under pressure. ➡️ Register here
7 months ago
0
Healthcare User Group
Healthcare Virtual User Group Recap: January 2026

Our healthcare community came together for a practical, customer-led conversation on what observability looks like in real hospital environments. Our pilot healthcare-specific session featured a walkthrough from Matt Whitney , followed by open discussion and peer sharing. Session highlights How NYP approaches application, server, and network observability today Where healthcare environments hit unique monitoring gaps (especially clinical and vendor-owned devices) What teams are doing to reduce alert noise and speed up incident routing A new Healthcare User Group space launching in the LogicMonitor Community for continued collaboration Customer spotlight: NYP’s observability journey Matt shared how NYP is using LogicMonitor across core infrastructure and applications, including: Discovery-driven monitoring and environment organization (with grouping to support operational ownership) Event and log-based visibility for Windows application servers Selective use of synthetic monitoring and URL checks, typically applied case-by-case The key takeaway: teams can build strong coverage, but standardizing application monitoring across many app types and owners remains a consistent challenge. What the group leaned into 1) Standardizing application monitoring (without overengineering) Participants compared approaches for getting beyond “server-only” monitoring. Common themes: Start with repeatable baselines (availability, key Windows events, core service checks) Expand with app-specific signals where teams can reliably source logs or metrics Use synthetic checks strategically, especially where login flows and workflow complexity increase effort 2) Monitoring clinical and vendor-owned equipment The most healthcare-specific pain point: radiology and other clinical devices, where vendors expose limited telemetry. The group discussed the reality that many teams are stuck with basic up/down status and the need for shared patterns to support deeper health indicators. 3) Alert management, correlation, and change awareness The discussion shifted from “more alerts” to “better alerts”: Interest in correlation approaches that reduce downstream noise during upstream failures Aligning monitoring and incident workflows with change activity, so teams can suppress or de-emphasize expected noise during approved work Where LogicMonitor capabilities help today, and where teams are still stitching together processes across tools 4) Incident routing and on-call execution with ServiceNow plus external tooling Several attendees noted that ServiceNow handles assignment and escalation, while paging and on-call execution may be handled by a dedicated alerting tool. The common goal: ensure the right responder is notified quickly, with clear rules when an on-call does not acknowledge. What’s next: keep the conversation going To carry the momentum forward, we’re launching a dedicated Healthcare User Group space in the LogicMonitor Community. This will be the place to: Share healthcare-specific monitoring patterns (especially for clinical devices) Compare ServiceNow and alerting integrations Post example data sources, dashboards, and escalation strategies Collect “what works” playbooks that others can adopt Thanks again for joining us and contributing to a valuable discussion. We’re looking forward to continuing the conversation in the Healthcare User Group.
Sky DonnellAdminPosted 8 months ago
0
User Group
Virtual User Group Recap: Q4 2025

A huge thank-you to everyone across AMER, APAC, and EMEA who joined us this quarter! Each region brought strong engagement, deep technical insights, and incredible community energy. Below are some highlights from each session. 🌎 AMER East User Group 🌟 MVP Spotlight: Devon Biancarelli-Milano Devon delivered highly practical insights during the session, guiding discussions on custom datasource development, scripting patterns, and scaling LM across complex environments. His experience as a hands-on engineer helped contextualize best practices for the entire group. Session Highlights ⭐ Expanded Sensor & Device Monitoring - users shared creative implementations, from water sensors to cameras, to discuss when ping checks make sense versus datasource-driven workflows. ⭐ Scripting & Custom Datasources PowerShell timeouts vs. Groovy flexibility Structuring reusable logic Building scalable checks for larger environments ⭐ Webhook Workflows - attendees discussed using webhooks to reduce polling overhead by triggering updates only when changes occur. ⭐ Dynamic Group Automation - participants shared how they automate AD credential assignments, SDT-aligned patch groups, and large-scale governance through dynamic logic. ⭐ Outage Detection - exploring how LM surfaces external service disruptions (like Cloudflare outages) through probes and service-level checks. 🌍 EMEA User Group 🌟 MVP Spotlight: Ed Jackson Ed delivered a standout customer story detailing how his company leverages LogicMonitor to run large-scale MSP operations with thousands of monitored devices, rich CMDB integration, and customer-facing insights. Session Highlights ⭐ Observability Blueprint - Ed outlined how his team monitors thousands of devices, enriches their CMDB with clean metadata, and uses LM to power services like One Insight and Service Insights. His structured workflows and governance practices strongly resonated with attendees. ⭐ Data Governance & CMDB Accuracy - expanded on maintaining consistent, automation-ready data—covering taxonomy standards, reconciliation workflows, metadata alignment, and how AI-assisted correlation supports (but doesn’t replace) human oversight. ⭐ Operational Best Practices - the group shared techniques for standardized tagging, reducing alert noise, streamlining onboarding for new business units, and using metadata-rich dashboards to accelerate troubleshooting. 🌏 APAC User Group 🌟 MVP Spotlight: Kyle Hartigan Kyle’s live demo dove into event-driven automation using LogicMonitor, N8N, and AWS Systems Manager (SSM), offering practical, copy-ready workflows that APAC attendees found immediately valuable. Session Highlights ⭐ Automation-First Mindset - attendees discussed: Remediation automation Enrichment workflows Multi-system orchestration Governance patterns (tagging, SDTs, opt-in/opt-out models) ⭐ Kyle’s AWS Automation Demo EC2 Recovery Workflow LM → N8N → AWS SSM for diagnostics + remediation Disk Cleanup Automation Automated cleanup triggered by disk-space alerts, with built-in agent checks and escalation paths. Handling Client Variability Kyle showed how tags, conditions, and LM’s AI insights prevent automation “flapping.” 🌎 AMER | Catchpoint AMA A Deep Dive Into LM + Catchpoint This AMA featured some of the most engaging Q&A of the quarter. Attendees came prepared with forward-thinking questions about how LogicMonitor and Catchpoint will work together, what the roadmap looks like, and how these capabilities can supercharge observability. ⭐ Community Callout: Outstanding Questions! The questions during this AMA were so thoughtful and wide-ranging that we compiled all Catchpoint-related questions into a dedicated FAQ blog for easy reference and ongoing learning. 👉 Read the full Catchpoint AMA FAQ Blog Key Discussion Themes ⭐ The Power of LM + Catchpoint Together - a unified view of infrastructure, applications, and the global internet, giving teams faster, more accurate diagnostics. ⭐ Monitoring Evolving Environments - strong interest in more complete coverage for: Hyper-V System Center VMM Foundry Synthetic testing ⭐ AI, Agents & Edwin AI - discussions centered on monitoring AI-driven systems, benchmarking GenAI tools, and leveraging 365 agents alongside Catchpoint intelligence. ⭐ Dashboards & Visualization - excitement around modernized dashboards and unified performance views across the internet and internal systems. ⭐ Internet Visibility Expansion - the Internet Stack Map and Internet Outages Map resonated strongly as customers explored how global internet telemetry can inform internal troubleshooting. Thanks again to everyone who joined us across AMER, APAC, and EMEA for our final virtual User Group sessions for 2025. Your engagement, questions, and shared expertise continue to strengthen the LM Community. We can’t wait to bring you even more opportunities to learn, connect, and collaborate in the new year ahead.
Sky DonnellAdminPosted 10 months ago
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