Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Real-Time Conversations with Netdata AI

Over the past few months, we’ve seen incredible adoption of our AI Investigations and Insights reports. Teams are using them to automate the deep, thoughtful analysis required for complex post-mortems, capacity planning, and performance optimization. These comprehensive reports are fantastic when you need a well-researched, shareable document. But what about the moments during an investigation?

Text-to-Alert: Generating Netdata Alerts from Natural Language

Netdata has an incredibly powerful alerting engine. But this can sometimes be a double-edged sword: the flexibility to build incredibly specific, intelligent alerts is immense, but mastering its syntax can feel like learning a new language. We’ve heard this from so many of you. You tell us that configuring alerts is often the steepest part of the learning curve, a task that falls to the one “Netdata expert” on the team who has spent the time digging through the documentation.

Monitor Everything is an Anti-Pattern!

Bullshit and nonsense. But let’s take it from the beginning. The industry’s story goes something like this: Then, in the same breath: You see the contradiction already, right? The same industry that tells you “collect less, simplify, trust the experts” is also the industry where: This isn’t an observability strategy. It’s observability by hindsight. Right. Good. Now we’re having fun.