Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

I built a small software factory: I file a Linear ticket, and a coding agent spins up in its own cloud sandbox, fixes the bug, pushes a branch and reports back. I can watch it work or take over from my laptop using my normal dev setup. In this video I walk through every piece of it in plain terms, from ticket to pushed branch, and explain why I made each decision so you can build your own.

AI agents just changed the speed of cyberattacks. Are security teams ready? In a massive AI-orchestrated cyberattack, hundreds of autonomous AI agents exploited vulnerabilities in PaperCut software, compromising 440 servers across 395 organizations in 48 countries. But the bigger question isn't how these attacks happened. It's how human security teams are supposed to respond when attacks move faster than they can react.

For IT leaders, managing AI costs isn't simply about cutting usage. It's about understanding what's driving consumption in the first place, from tokens and context to system prompts and generated output. As organizations move from experimenting with AI to deploying it at scale, AI cost optimization is becoming an IT governance problem, not just a developer problem.

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Redgate Monitor is a multi-platform database monitoring tool, not a SQL Server only tool. It monitors SQL Server, PostgreSQL, Oracle, MySQL and MongoDB from a single dashboard, on premises or in the cloud. This demo shows SQL Server, PostgreSQL and Oracle instances in the Redgate Monitor live demo environment.

Equip your frontline team for success with the Zebra TC201 mobile computer. This rugged device combines enterprise-grade power, built-in security, and exceptional value to boost productivity and efficiency across your entire operation. From the sales floor to the warehouse and out on the road, the TC201 is the tool your team can count on.