Logs for Lunch - All in one page!
Join us at the next Logs for Lunch The May Logs for Lunch "A window into your Windows Logs" webinar will take place on Wednesday, May 14 at 12noon CT (10a PT, 11a MT, 1p ET). More information here! Catch up on past webinars Are you new to logs or haven't been to Logs for Lunch before? Here is a list of all of the previous webinars from 2025 with links to the full recap pages where you can read the full summary and watch the complete webinar, or just the part you need. April 2025 Accelerated Troubleshooting with Logs included a troubleshooting walkthrough that included Log Anomalies, Patterns View, Log Analysis, and the new Reset Anomalies feature. March 2025 Catching Anomalies in the Cloud & Deeper Insights with Logs included two demonstrations covering Troubleshooting Cloud Issues with LM Logs (by Nick Doane) and Advanced Log Querying & Aggregation (by David Femino). February 2025 Network Observability & Wireless Connectivity included two demonstrations covering Network Observability (by Vince Smith) and Troubleshooting Wireless Connectivity (by Patrick Rouse). January 2025 Transforming Log Intelligence included a demonstration of LM Logs showing a Streamlined Alert-to-resolution Workflow (by Patrick Sites).RECAP: April Logs for Lunch - Accelerating Troubleshooting with LM Logs
Watch the replay! In April’s Logs for Lunch webinar, Tom Chavez (Logs Marketing) and Patrick Seitz (Logs Architect) took viewers through a deep dive into LogicMonitor’s LM Logs, highlighting how the platform streamlines troubleshooting by delivering actionable log insights in context with metrics and alerts. Key Takeaways: 🔎 Why LM Logs? Many operations teams struggle to access the logs they need—whether due to silos between departments, log sprawl across multiple tools, or sheer data volume. LM Logs was built to address this, offering a unified, cost-effective solution for operations teams that need quick, contextual access to logs—not a full-blown SIEM. ⚙️ Built for Troubleshooting LM Logs isn’t a standalone logging tool. It’s tightly integrated with the LogicMonitor platform and designed to support the troubleshooting workflow: See an alert → drill into metrics → view correlated log anomalies → pinpoint root cause All without needing to write complex queries or leave the platform 💡 Contextual AI-Powered Insights LM Logs uses layered intelligence and machine learning to: Identify anomalous log patterns in real time Surface only the most relevant logs related to issues Reduce mean time to resolution (MTTR) by up to 80% 🛠️ Demo Highlights Patrick demonstrated how teams can troubleshoot directly from an alert screen using real-time anomaly detection. Key features showcased: Log Anomalies: Automatically flagged unusual logs, visualized alongside metrics Patterns View: Clustered logs into patterns to separate noise from signal Log Analysis: Scored logs based on error severity and frequency using a built-in sentiment engine Reset Anomalies: New feature allowing teams to reset learned behavior and retrain the system after major incidents 📊 From Insight to Optimization For teams monitoring usage and cost: You can run queries to measure log volume by pattern or source Visualize which logs are driving ingestion Use that data to fine-tune filters and reduce ingest costs (e.g., drop noisy but low-value logs) 🧩 Easy Integrations LM Logs supports data from: Windows, Syslog, SNMP traps AWS, Azure, GCP via API Kubernetes via FluentD/Bit, OTEL, and Logstash Third-party integrations like Meraki and Office365 📤 Reporting and Usage Monitoring Users can export log analysis and aggregates to CSV, and use saved queries for scheduled reports. The platform also provides monthly usage dashboards and top talker queries to help teams stay ahead of overage charges. Final Thoughts: Whether you’re a Tier 1 analyst or an experienced engineer, LM Logs equips your team to diagnose issues faster—without needing to be a query expert. And with tools like anomaly detection, log patterns, and real-time analysis, you're empowered to act with confidence and clarity. Be sure to catch the next Logs for Lunch on May 14, focused on Windows log ingestion, and check out Patrick’s upcoming Product Power Hour session for more hands-on insights.March 2025 Logs for Lunch Recap: Catching Anomalies in the Cloud & Deeper Insights with Logs
Overview This month’s Logs for Lunch session brought together IT professionals to explore Catching Anomalies in the Cloud & Deeper Insights with Logs, highlighting how LM Logs can streamline troubleshooting and proactive monitoring. Our experts explored real-world use cases, demonstrating how logs provide deeper visibility into diagnosing an anomaly in your cloud storage permissions before it becomes a major problem! Register to watch the replay! Summary: Overview This webinar, hosted by Tom Chavez, introduces Logs for Lunch, a new webinar series for 2025. The session covers the importance of logs in troubleshooting and monitoring cloud and infrastructure issues, featuring two live demos by Nick Doane (Sr. Sales Engineer) and David Femino (Product Team). The discussion highlights LogicMonitor’s (LM) log analysis tools, their AI-powered anomaly detection, and their ability to streamline IT operations. Key Takeaways 1. Challenges in Log Management Logs are typically owned by security teams, making it difficult for operations teams to access them. Organizations often deal with log overload, multiple tools, and lack of a unified view. Querying logs across different tools requires expertise in various query languages. LM Logs simplifies log access and analysis by integrating with LM Envision. 2. How LM Logs Helps Unifies log data across cloud, on-prem, and network devices. Reduces troubleshooting time by up to 80% through centralized log analysis. AI-powered anomaly detection filters out noise and focuses on unusual patterns. Streamlined access for Ops teams—no need to rely on security teams for logs. Hot storage for all logs, ensuring quick and easy searches. Flexible retention options (7 days to a year) based on business needs. Demo 1: Troubleshooting Cloud Issues with LM Logs (Nick Doane) Nick demonstrates how LM Logs’ anomaly detection can quickly pinpoint and resolve issues: Scenario: A Frontend Application Failure A 404 error surge is detected in an Azure-based app. LM Logs automatically correlates error alerts with related log anomalies. AI filters 20M logs down to 71 anomalies, surfacing the most critical entries. A user, John Johnson, is identified as having made a change in Azure storage. The public network access setting was disabled, causing 404 errors. Resolution: Quick identification of who changed what using log analysis and anomaly detection. No need for query language expertise—LM Logs automates log filtering. Faster root cause identification without escalating to higher-level engineers. Demo 2: Advanced Log Querying & Aggregation (David Femino) David explores how to extract insights from logs using LM Logs’ built-in query features: Log Querying Simplified Type-ahead key-value filtering (e.g., resource:name). Automatic log metadata extraction (log levels, syslog facilities, etc.). Visual filtering—click-to-query without learning complex query languages. Advanced Log Analytics with Operators Count logs by resource to identify "top talkers." Aggregate log sizes, track storage usage over time. Time bucketing: Group log data into 24-hour windows for trends. Parsing log fields dynamically (e.g., extracting Access Keys from AWS logs). AI-powered anomaly detection reduces the need for manual data sifting. Final Notes & Upcoming Events Live Q&A: Attendees ask about log storage, AI filtering, and query best practices. Elevate User Conference: Dallas (April), Sydney (May), London (June) Includes demos, training, and networking. Next Webinar: Patrick Sites (Product Architect) will showcase new LM Logs features. Takeaway: LM Logs is built to simplify log analysis, provide quick insights, and enhance operational efficiency without requiring deep technical expertise in querying logs. Questions: Q: Will any portion of elevate be available online? A: Yes, all Elevate sessions will be recorded for playback for free. Q: Where can I find more info about advanced search operators? A: Advanced search operators are covered here: https://www.logicmonitor.com/support/advanced-search-operators Q: Any other resources? A: I also love this resource, the Logs Search Cheatsheet: https://www.logicmonitor.com/support/lm-logs/logs-query-language/logs-search-cheatsheet Example queries can be imported from our git repo as well. ehttps://github.com/logicmonitor/log-queries What’s Next? Next Logs for Lunch: Accelerating Troubleshooting with Logs April 9, 2025 12noon CT / 10am PT / 11am MT / 1pm ET Register and get more information here Elevate Community Conference: Join us in Dallas, TX (April 30), Sydney, AUS (May 29), and London, UK (June 25), to gain strategic insights, hands-on product experience, and exclusive networking opportunities. Elevate 2025 will showcase the latest innovations in AI-powered observability, empowering enterprises to optimize their modern data centers. Find more details and registration links here! What Came Before? Did you miss the Logs for Lunch presentations and demos from January and February? Catch up on the great topics covered earlier this year, including our opening meeting of 2025 in January with a LM Logs overview and demo of Troubleshooting a Tomcat app, and the second meeting in February focused on Network Observability and Wireless Connectivity.February 2025 Logs for Lunch Recap: Network Observability & Wireless Connectivity
Overview This month’s Logs for Lunch session brought together IT professionals to explore Network Observability & Wireless Connectivity, highlighting how LM Logs can streamline troubleshooting and proactive monitoring. Our experts explored real-world use cases, demonstrating how logs provide deeper visibility into network performance, security events, and infrastructure health. Whether managing a growing wireless network or optimizing log intelligence, this session was packed with actionable insights to elevate your monitoring strategy. The Demo Making Wireless Networks More Predictable: We explored how log intelligence can help identify and resolve connectivity issues before they impact users. Proactive Troubleshooting with LM Logs: Discover how to correlate logs with performance metrics for faster incident resolution and enhanced root cause analysis. Security & Compliance Insights: Learn how to leverage log data for better security monitoring, detecting anomalies in network behavior. Enhancing Network Observability: Unveiling best practices for visualizing wireless connectivity issues with logs and metrics in a single pane of glass. Customer Success Stories: Real-world applications showcasing how teams are using LM Logs to optimize network health and troubleshoot at scale. Q&A Q: How can LM Logs help with wireless troubleshooting? A: LM Logs provide real-time insights into network performance, helping to correlate log data with connectivity metrics, device health, and historical trends. Q: Can LM Logs be used for security monitoring? A: Absolutely! Logs can highlight unexpected login attempts, firewall policy violations, and network anomalies, making them a key tool for security and compliance teams. Q: How do I integrate LM Logs with my current monitoring setup? A: LM Logs work seamlessly with existing dashboards and alerting workflows, allowing you to combine performance metrics, topology maps, and log data in one place. Q: What’s the best way to filter and analyze large volumes of logs? A: Utilize log search, filters, and anomaly detection features to pinpoint the most relevant data, reducing noise and making troubleshooting more efficient. Customer Call-outs “The ability to see connectivity issues correlated with logs in real-time is a game-changer.” “Security monitoring with logs is something we’ve needed, and this session really showed us how to implement it.” “We’ve been struggling with intermittent wireless issues, and now we have a solid strategy to tackle them.” What’s Next? Virtual User Groups: Join us for our first LM Community Virtual User Group series, where you'll hear from fellow LogicMonitor customers about their hybrid observability journey. Register for your preferred region below! LM User Group | AMER East - Mar 20 LM User Group | AMER West - Mar 20 LM User Group | APAC - Mar 27 LM User Group | EMEA - Mar 27 Elevate Community Conference: Join us in Dallas, TX, Sydney, AUS, and London, UK, to gain strategic insights, hands-on product experience, and exclusive networking opportunities. Elevate 2025 will showcase the latest innovations in AI-powered observability, empowering enterprises to optimize their modern data centers. Find more details and registration links here! Stay tuned for more insights and opportunities to enhance your monitoring capabilities with LM Logs. Missed this session? Watch the full recording below ⤵️January 2025 Logs for Lunch Recap: Transforming Log Intelligence
We launched our 2025 Logs for Lunch series with a bang, diving deep into how LM Logs is transforming how teams tackle troubleshooting. If you missed it, don't worry - here's a quick recap. Making Log Troubleshooting Less Painful Most of us don't exactly jump for joy when we have to dig through logs. But LogicMonitor is changing that game. The standout feature? An AI-powered system that spots unusual patterns automatically - no complex queries needed. This innovative approach has helped organizations reduce their troubleshooting time by up to 80%, significantly improving operational efficiency. The Demo The technical demonstration showcased real-world applications, featuring: Streamlined alert-to-resolution workflow "Show Patterns" feature for identifying recurring issues Automated alert creation based on log patterns Seamless integration between metrics and logs The demo walked through diagnosing a web server issue, illustrating how complex problems can be resolved with minimal clicks and without extensive logging expertise. Q&A People had questions, and we got answers! Here are the ones that got everyone's attention: Q: I'm new to this - where should I start? A: Start with what you know - if you're already monitoring network devices or Windows servers in LogicMonitor, that's your sweet spot. These are usually the easiest to set up and start getting value from right away. Q: How does pricing work? A: LM Logs is an add-on to LM Envision, and it's pretty straightforward: you pay based on how much data you're logging and how long you want to keep it. Whether you need 7 days or a full year of retention, they've got you covered. Q: How do I keep track of usage? A: There's a neat dashboard that shows your monthly usage, trends, and even which systems are your "top talkers" - super helpful for keeping things under control. What's Next? Mark your calendar for the next Logs for Lunch session on February 12th, 2025, at 12 pm CT, where we're tackling troubleshooting wireless networks. Save your spot by registering today. Keep an eye out in the Community for upcoming exciting product launches! Check out our official LM Logs page here for a deeper dive into logs.
