Operations | Monitoring | ITSM | DevOps | Cloud

Did you know that observability has been around for more than six decades? It all goes back to a Hungarian-American inventor named Rudolf Kálmán who thought about how external outputs could measure the internal state of a machine. Kálmán wrote about monitoring single-input single-output systems, but our demands are very different today. We need to observe monoliths, microservices, clusters, pods, regions, and many more.

Grafana puts a powerful set of observability capabilities right at your fingertips, but onboarding entire teams to the sophisticated platform is often a nontrivial exercise—one that can slow adoption and prevent organizations from getting immediate value. We want to make the process as frictionless as possible, which is why we’re excited to tell you that Grafana Assistant is now available in public preview to all Grafana Cloud users.

I joined incident.io about ten weeks ago, having been in my previous role for four and a half years. Being a new starter was an unusual feeling for me, and there's been a huge amount to learn; but by lunch on my second day (!) I had started shipping value to our customers. A large part of hitting the ground running has been having a colleague alongside me, who I can pester with questions, who doesn’t get offended when I write in all capitals, and often praises me for being absolutely right!

Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.

Efficiency has never been so vital for IT departments and MSPs—it’s a necessity. Endpoints need constant patching, security threats evolve daily, and service requests never stop coming. For many IT teams, the biggest challenge isn’t solving complex problems—it’s finding the time to do it all. That’s why Pulseway’s new AI-powered workflow generator is a breakthrough for IT operations.

Distributed tracing data is a unique and powerful observability signal, allowing you to understand how your services interact and the relationships between them. Sometimes it can be difficult, however, to turn raw tracing data into actionable insights. This is exactly why we introduced Grafana Traces Drilldown, an application that lets you quickly investigate and visualize your tracing data through a simplified, queryless experience.