Operations | Monitoring | ITSM | DevOps | Cloud

See how the new Dynamic MCP Server in Resolve Actions Pro 8.1 lets AI assistants like Claude discover and execute approved Resolve runbooks through the Model Context Protocol (MCP). Watch enterprise automation happen in real time with secure, auditable execution.

The "Patch Apocalypse" is here. With the rise of advanced AI models like Mythos and Project Glasswing, the window for exploiting software vulnerabilities has shrunk from weeks to just days. Are your IT operations and security protocols ready for this new normal?

Code review has always been a time sink. AI just makes the dysfunction undeniable. Luca Rossi, founder of Refactoring.fm and builder of the open source tool Tolaria, has been running one of engineering's most-read newsletters for five years, with over 170,000 subscribers. He's also been doing what a lot of engineering leaders talk about but rarely do: building a real product with AI agents to pressure-test what's actually possible today.

AI agent quality should not depend on manual checks. But for many teams shipping AI in production, agent failures are silent. The agent doesn't crash - it just gives confidently wrong answers, and your monitoring sees nothing wrong. Without automated guardrails, plausible-sounding wrong responses, hallucinations, and quality regressions reach customers before anyone notices.

AI is transforming the workplace, but successful adoption requires more than simply deploying new tools. In this demo, discover how Nexthink’s AI Activation Hub helps organizations discover, govern, guide, and measure enterprise AI adoption, empowering IT to accelerate AI adoption with confidence.

Join us as Sunil teaches how Sumo Logic is advancing observability with OpenTelemetry, AI, and automated investigations to help teams gain insights and resolve issues faster.

AI helped your engineers ship more code. It didn't help your team ship more product. So where did the bottleneck actually go? In this Product Highlights conversation, Patrick—a principal engineer at Upsun with twelve years building back-end APIs in Go—breaks down what changed once AI agents entered the workflow. His take: "The code isn't really a problem anymore. We can write that really fast. Everything else is still a bit behind the code." We get into.

Stop flying blind on unmanaged devices Unmanaged devices don't show up in your dashboard — until something breaks. Missing devices mean missed patches, failed audits, and incidents you never saw coming. If you can't see it, you can't fix it. In this session you'll learn how to: Discover every device on your network using SNMP Deploy the NinjaOne agent on unmanaged Windows devices directly from the dashboard — no manual legwork.

Most backup strategies look solid until someone actually needs to restore a file — and discovers the process is different for every OS. Windows, macOS, and Linux each have their own quirks, and without a consistent policy, recovery becomes a scramble. In this stream, you'll learn how to: Apply consistent file-level backup policies across Windows, macOS, and Linux Restore files and folders without hunting for the right process per device Build a single backup workflow that covers servers and endpoints.

Most monitoring tells you whether a service is up. Network synthetic monitoring tells you what the experience looks like from where your users actually are — and where on the network path a problem lives.