Operations | Monitoring | ITSM | DevOps | Cloud

LM Logs troubleshooting starts at the alert. This Logs for Lunch session shows ITOps teams an alert-to-logs workflow and lesser-known LM Logs tips. Ryan Matuszewski demos a Tomcat application error. From the alert's Logs tab, he moves through log anomaly detection, All Logs, Log Patterns, and Log Analysis sorted by sentiment. He then opens the Logs page with the alert time range, and the same steps work for any alert type.

Autonomous IT requires three things: complete, AI-ready data; connected context; and governed action. In LogicMonitor's 2H announcement, we show enterprise IT and ITOps leaders how each layer works. LogicMonitor is the AI-first platform for Autonomous IT. This update covers the three layers behind autonomous IT operations as the category moves from systems of intelligence to systems of action. Your team decides when Edwin AI moves from recommending an action to taking it.

SNMP traps as logs, AI log anomaly detection, and network troubleshooting are the focus of Logs for Lunch: August 2026, for network and IT ops teams and LogicMonitor users. Tom Chavez introduces LM Logs, which keeps logs and metrics together. Cameron Compton troubleshoots dropped tunnel packets from a network operations dashboard, and Ron Scinta ingests SNMP traps through the Collector. Patrick Sites and Kerry DeVilbiss answer questions on load balancing, OTel and Cribl forwarding, MSP log sources, and search performance.

Cloud log monitoring in LogicMonitor connects a service alert to the log event behind it. This Logs for Lunch July demo is for ITOps, CloudOps, and SRE teams. Tom Chavez hosts Ismath Mohideen (Product Marketing) and Nick Doane (Senior Sales Engineer). They cover cloud observability and multi-cloud monitoring across AWS, Azure, GCP, and OCI in LM Envision, using cloud provider APIs with no extra collectors.

AI investigation for IT operations finds the likely root cause of an incident and shows the evidence behind it. This video covers how deep AI investigation works for ITOps, SRE, and platform engineering teams using LogicMonitor's Edwin AI. Engineers lose time stitching together alerts, logs, and recent changes after an alert fires. Deep AI investigation hands that first pass to AI agents, so your team starts closer to the fix. Edwin AI, LogicMonitor's AI agent for ITOps, correlates alerts, identifies root causes, and recommends remediation.

Incident management fundamentals still apply, even as hybrid cloud and Kubernetes reshape incidents. Garrett Douglas joins LogicMonitor's Coffee and Context on why one failure floods ITOps with alerts and fuels alert fatigue. The bottleneck is incident context: knowing which alerts matter for incident response. Forrester's report Incident Management Has Outgrown Its Playbook frames context as the new competitive advantage.

SCC replaced fragmented tooling, including Nagios, with unified observability the whole team can use. The session covers proactive monitoring, SLA protection, and serving more customers without adding headcount per account. It's made for MSP leaders exploring AIOps for MSPs and observability for MSPs.

Internet performance monitoring (IPM) gives IT leaders, operations teams, and network engineers visibility into the ISPs, carriers, and SaaS services their business depends on but doesn't control. In this LogicMonitor and Catchpoint webinar, Callum Brown (presales, EMEA, LogicMonitor) and Brandon Dunlap (solution engineering, Catchpoint, a LogicMonitor company) show how to operationalize IPM, moving from visibility to control.

Autonomous IT is the focus of this LogicMonitor fireside chat with CMO Brooke Cunningham and CPO Garth Fort, built for enterprise IT leaders, IT operations, and observability and AIOps teams. Brooke and Garth break down the 2026 Observability and AI Outlook for IT Leaders report, based on a survey of 100+ VP-level IT leaders who own observability budgets across North America, EMEA, and Asia Pacific.

AI incident response just got faster. Watch how LogicMonitor Edwin AI brings investigation, root cause analysis, and action directly into Slack for ITOps, SRE, DevOps, NOC, and incident response teams. When an incident hits, responders juggle monitoring tools, ITSM systems, dashboards, and documentation to find what they need. Edwin AI brings that context into Slack, so your team can investigate, decide, and act in one place.