In this video, Tiffany Jernigan walks through new TraceQL features in Tempo 2.10 that can help you analyze trace structure, identify traces with attributes that don't exist, and more.
Volkov Labs has been a longtime partner to Grafana Labs, with co-founder Mikhail Volkov contributing to Grafana in the early stages of the OSS project. On Sept. 26, the Florida-based company that recently created a suite of business intelligence (BI) plugins for Grafana announced it had been acquired. In light of the news, Grafana Labs committed to taking over the maintenance and development of their popular business intelligence (BI) plugin suite.
From Observability for GenAI Applications (Grafana OpenTelemetry Community Call) We drill into traces to see which agents called which tools, where errors occurred, how long each LLM call took, and how costs and tokens are distributed. The walkthrough also covers using AI assistance to summarize long traces and identify optimization opportunities in real time..
Wilfried Roset is an engineering manager who leads an SRE team and he is a Grafana Champion. Wilfried currently works at OVHcloud where he focuses on prioritizing sustainability, resilience, and industrialization to guarantee customer satisfaction. As an SRE Engineering Manager and a Grafana Champion, I believe a resilient and sustainable cloud experience begins with strong observability.
In the January edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 3.7 release, the upcoming 3.7 and 4.0 releases and features, and we discuss the upcoming deprecation of the 1.x and 2.0 versions.
Context switching isn’t just inefficient—under pressure, it’s exhausting. It slows decision-making, increases the risk of mistakes, and makes even experienced engineers feel like they’re always a step behind the system they’re responsible for. At Grafana Labs, we want to build tools that meet you where you are. That's why we embedded Grafana Assistant, our context-aware AI assistant, directly in Grafana Cloud.
As part of the upcoming Grafana 13 release in April, we will be updating to React 19, the latest major version of the frontend library for building user interfaces. Grafana uses React as the core technology for its frontend UI and its vibrant ecosystem of plugins. This update ensures we stay aligned with the broader React ecosystem, and allows us to take advantage of ongoing performance enhancements and new functionality provided by React APIs.
In this episode, we’re diving into observability for Generative AI apps. AI helps us write code and monitor applications in production - but how do we observe the AI itself? And how do we make sense of complex, non-deterministic AI systems? We’re joined by two great guests: Ishan Jain, working on GenAI observability and Luccas Quadros, working on Grafana Assistant. Together, they bring both platform-level insights and real-world perspectives.
A VP of Engineering (from a company I’m not allowed to name) told me recently: "You helped us find and fix real user-facing issues. Now we need to convince our CTO why that matters more than the standard SLO’s and systems." Here's the thing: your CTO is not wrong in measuring the systems and basic uptime. That’s the baseline though. They’re all trying to watch everything, but they’re seeing nothing as it relates to users.