Operations | Monitoring | ITSM | DevOps | Cloud

AI Observability in Grafana Cloud: A complete solution for monitoring your agentic workloads

The observability industry has developed great tools for using metrics, logs, traces, and profiles to monitor the cloud native applications that have dominated the last decade of software development. But when it comes to understanding what an AI system is actually doing, we’re often left reading raw conversations, guessing at quality, and reacting too late. And that’s a problem.

Introducing o11y-bench: an open benchmark for AI agents running observability workflows

Evaluating agents is hard. Verifying observability tasks is harder. Yes, AI agents have gotten dramatically and quantifiably better at coding and tool use, but observability presents a different kind of challenge. In a real incident, the hard part is rarely just writing a query. It's deciding which signal matters, figuring out whether a spike is noise or symptom, correlating metrics with logs and traces, and sometimes making a change in Grafana without breaking the dashboard another engineer depends on.

Why Mid-Market IT Teams Are Drowning in Tickets - And How AI Concierges Are Finally Fixing It

Every IT leader I've spoken to at a mid-market company (50-500 employees) tells me some version of the same story. Their team is good. Their tools - usually ServiceNow, Jira Service Management, or Freshservice - are solid. But the volume of inbound requests is relentless. Password resets at 9am. VPN issues at 2pm. "My Zoom isn't working" at the worst possible moment before a client call. The tickets never stop, and the IT team never has enough bandwidth to focus on the work that actually moves the business forward.

Stop Fighting Your Mouse: How I Traded "Drafting Slavery" for Real Restaurant Design

I've spent the better part of twelve years in the hospitality design trenches. If there's one truth I've brought back from the front lines, it's this: the soul of a restaurant is decided long before the chef ever steps into the kitchen. It's won or lost in your Restaurant Floor Plan.

Building the AI Stack for Modern Network Operations - Surya Nimmagadda

AI is rapidly transforming network operations — but what does it actually take to build an AI stack that works in production? In this session from AI for Network Leaders – Powered by Selector, Surya Nimmagadda breaks down how modern AI systems for network operations are designed, deployed, and used today. He covers: This session is designed for network engineers, architects, and operators looking to move beyond theory and understand how AI is being applied in real production environments.

Inside the AI Agents Transforming Network Operations - Joby Rudolph & James Schnebly | Selector

AI agents are becoming a core part of modern network operations — but what does it actually take to build and deploy them effectively? In this session from AI for Network Leaders – Powered by Selector, Joby Rudolph and James Schnebly break down how AI agents are designed, implemented, and applied in real-world network environments. They cover: This session provides a practical look at how AI agents are moving from concept to production — and what it takes to make them work at scale.

Uptrace MCP Server: Auto-Generate Dashboards with AI in Minutes

Tired of clicking through menus to build observability dashboards? In this video I walk through how to configure the Uptrace MCP (Model Context Protocol) server and connect it to an AI assistant so your dashboards get created automatically from natural-language prompts. You'll learn how to: By the end you'll have a working setup where describing what you want to monitor is enough to get a real, shareable dashboard in Uptrace.

Ivanti Launches Agentic AI on the System of Record You Trust

Investors and enterprises are finally asking the question they'd been avoiding: which software companies will survive the AI revolution, and which will be made obsolete by it? The answer is becoming clear. Companies that serve as the system of record, the authoritative source of truth that AI itself depends on, are essential.