Operations | Monitoring | ITSM | DevOps | Cloud

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.

Sentry brings errors, logs, replays, spans, and metrics together to find and fix the worst issues in your application.

Tracing does a lot more than help you monitor performance. It's what ties errors, logs, and session replay together in Sentry, so you, and your agents actually know what happened. It's included in every Sentry plan.

Being honest about what you're struggling with isn't weakness — it's the fastest way to get real help. This IT leader says it's okay to tell your team "I'm struggling with X, can I just vent for 15 minutes" and skip the technical fix for a minute. Most people want to help — you just have to let them. Watch the full IT Leadership Lab session.

"CFEngine: The agent is in" is our monthly webinar series, where we show new features, teach best practices, and keep the community informed about everything CFEngine.

What does "good" actually look like for a fiber-to-the-home network? According to two of the people who build them, it looks like nothing at all. No complaints. No support calls. No coffee-talk the next morning about the stream that buffered. Just a light switch that turns all the way on, every time.

Explore how to leverage observability insights to reduce metric costs with Span Observability. Led by Tomasz Romaniuk and Martyna Karbownik from Cisco, this tech talk covers the significance of metric time series in impacting cardinality and consequently driving metric costs. After a theoretical introduction, the presentation dives into practical real-life use cases demonstrating how to effectively utilize available tools for cost reduction. The session concludes with an overview of future developments and a Q&A segment for audience inquiries.

Thursday is about testing and evaluation. Here's what we're announcing today! Check out grafana.ai for more details on everything we announce this week.