Operations | Monitoring | ITSM | DevOps | Cloud

When a fixed data model doesn't fit your environment, you either work around it or go without. NinjaOne custom fields let you define exactly what data gets tracked — and control who can see, edit, or act on it. In this session, you'll learn how to: Set global defaults that apply consistently across devices and automations Configure role-based access so the right people interact with the right fields Use new permissions to lock down core asset fields Whether you're standardizing data collection across clients or tightening up access controls, custom fields are where NinjaOne starts to fit your workflow instead of the other way around.

Connect with N-able: Instagram: @thisisnable.

Search in Catalog used to mean typing an exact name and hoping. Lead Platform Engineer Keith Zeto walks through the rebuild for this Feature Friday.

High-volume manufacturers—spanning food, beverage, cosmetics, and consumer goods—operate under rigorous regulatory and quality requirements, yet many still rely on manual inspections or outdated technologies to validate packaging date and lot codes. They need a faster, more dependable system to ensure every product leaving the facility is correctly marked. Zebra’s AI OCR vision system combines the power of Aurora Focus software with our NS42 and FS42 smart cameras to deliver a fast, accurate solution.

Grafana AI Observability is our new database and platform for observing AI Agents. Over the past year at Grafana Labs, we built Agents and we needed a way to understand how they are performing, what are the costs associated with them, what's the error rate or time to the first token as well as how they are behaving. Grafana Staff Engineer, Ivana Hučková provides a deep dive demo on how Grafana AI Observability connects our experience building Agents with our experience building observability systems.

Senior Developer Advocate Nicole van der Hoeven explains how we're thinking about observability and AI at Grafana Labs. She talks about how you can use AI with observability across the entire SDLC and the different tools you can use for both AI for observability and observability for AI.

Friday, the last day of AI Week, is all about collaboration. Here's what we're announcing today! Check out grafana.ai for more details on everything we announce this week.

An alert tells you what changed. It rarely tells you why. That answer usually lives somewhere else: the pull request that shipped minutes earlier, the incident already open in PagerDuty, the runbook sitting in Confluence. Netdata AI can now reach those systems directly. Through the Model Context Protocol, it connects to the tools your team already runs and reads from them while it investigates. It pulls that context alongside the metrics, logs and anomalies Netdata detects on every node, then reasons across both.

Empower your level-one analysts to resolve endpoint issues on the very first call — no escalation required. Ivanti Neurons Workspace delivers a 360-degree, real-time view of every device, user, application, and service in your IT estate. Learn more at ivanti.com.

Cortex co-founder and CTO Ganesh Datta sits down with Abby Bangser, a platform engineering leader at Syntasso and former lead of the CNCF Platforms Working Group, to talk about why AI agents need real platform APIs, not raw cloud credentials.