This deep dive covers widget configuration, filtering, visualization choices, and layout strategies that improve troubleshooting and operational visibility.
This deep dive covers widget configuration, filtering, visualization choices, and layout strategies that improve troubleshooting and operational visibility.
Welcome to Camp! Welcome to Camp LogicMonitor , a 4-week learning program designed to help you prepare for LogicMonitor Certification . Over the course of four weeks, you will follow a structured learning path that combines self-paced LM Academy badges and live Campfire Chats with LogicMonitor trainers and product experts. Weekly learning tracks with short, self-paced certification prep Badges. Weekly Camp Guides to direct your journey. Live Campfire Chats featuring demos, best practices, and Q&A with experts. Throughout Camp, you will develop practical knowledge of key platform capabilities and their implementation alongside peers in a cohort environment. Why should I participate? All campers who complete Camp LogicMonitor will receive a complimentary LogicMonitor Certification exam attempt. In addition, you will: Earn 4 badges to share on LinkedIn. Receive a Camp LogicMonitor Baseball Cap. Be entered into the Grand Prize Drawing for a Solo Stove Mesa Tabletop Fire Pit. Perhaps most valuable of all, you will learn from your peers' use cases for optimizing with LogicMonitor. What's the schedule? 4-weeks. August 24 - September 20. Each week focuses on a core certification topic: Week 1: LogicModules Week 2: Resource Management Week 3: Alerts Week 4: Reports Weekly discussions and live sessions provide an opportunity to reinforce learning and engage with other LogicMonitor users and experts. Monday : Camp Guide released Wednesday : Live Campfire Chat Friday : Recommended badge completion milestone Register today! Join us, and begin your certification journey today. Questions? Reach out to your Customer Success Manager or training@logicmonitor.com .
Autoclustering uses machine learning to automatically group related alerts into actionable insights without requiring manual configuration or deep domain expertise.
Autoclustering uses machine learning to automatically group related alerts into actionable insights without requiring manual configuration or deep domain expertise.
Join our Higher Ed Virtual User Group for a customer-led session with Devon Biancarelli-Milano , Network Engineer at a leading university, as he shares how their team leverages LogicMonitor to maintain critical campus infrastructure and streamline IT operations. Devon will walk through their LogicMonitor journey, detailing the evolution from deploying their very first device to scaling monitoring across the university's network. He will share insights into what higher education institutions deem critical to monitor, their team's specific alerting practices, and how they integrate LogicMonitor with other essential software solutions to keep campus services running smoothly. Following the presentation, we will open the floor for a collaborative discussion with the entire group. What you’ll learn: The university's evolution with LogicMonitor, from initial device deployment to current scale Key infrastructure and campus services deemed critical to monitor in a higher ed environment Best practices for alerting to minimize noise and improve incident response times Strategies for integrating LogicMonitor with other IT service management and software solutions Open group discussion to share challenges, ideas, and best practices with your higher ed peers Bring your questions and join the conversation, especially if you’re exploring ways to optimize monitoring, fine-tune alerting, or expand integrations within your own educational institution.
This deep dive explores how LogicMonitor's Automated Remediation detects issues, executes predefined recovery workflows, and validates successful resolution to reduce manual effort, accelerate incident response, and improve operational reliability.
This deep dive explores how LogicMonitor's Automated Remediation detects issues, executes predefined recovery workflows, and validates successful resolution to reduce manual effort, accelerate incident response, and improve operational reliability.
This deep dive is a focused session that explains how Edwin AI ingests, enriches, and uses metadata to provide contextual insights, accelerate root cause analysis, and improve AI-driven observability. Participants will gain a practical understanding of the metadata architecture, implementation process, and best practices for successful deployment.
This deep dive is a focused session that explains how Edwin AI ingests, enriches, and uses metadata to provide contextual insights, accelerate root cause analysis, and improve AI-driven observability. Participants will gain a practical understanding of the metadata architecture, implementation process, and best practices for successful deployment.