Operations | Monitoring | ITSM | DevOps | Cloud

Observability for GenAI Applications (Grafana OpenTelemetry Community Call)

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.

Grafana Tempo: vParquet5 is coming soon (January 2026 Community Call)

vParquet5 is coming soon, learn about all the improvements and how to use them Have questions? Please bring them! Can't comment in the chat? You may need to create a channel -- you can do this by clicking your photo in the top right corner. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, traces, and profiles. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more.

How Grafana Mimir Cut Costs 25%: Kafka and WarpStream at Massive Scale | Big Tent S3E3

Big Tent hosts Mat Ryer and Tom Wilkie talk with Marco Pracucci (Grafana Labs), Cyril Tovena (Grafana Labs), and Ryan Worl (WarpStream/Confluent) about building Sigyn (the internal code name for Mimir’s next-gen architecture), public, open source, and designed for lower TCO and stronger reliability. They cover gapless consumption, predictable partitioning, new “block builder” components, and the practical realities of migrating “mid-flight.”

Get started with Grafana Alerting: Link alerts to visualizations

In this tutorial you will learn how to link alert rules to time series panels for better visualization. Don't miss the rest of the "Get started with Grafana Alerting" series! Each part dives into a different feature to help you get the most out of alerting in Grafana.

Tail sampling vs. head sampling in distributed tracing

In this video, Grafana Labs' Robin Gustafsson (CEO for K6 + VP, Product) and Sean Porter (Distinguished Engineer) discuss the differences between head sampling and tail sampling approaches in distributed tracing. They explore why head sampling often amounts to sampling randomly and hoping for the best, while tail sampling — the approach used by Adaptive Traces in Grafana Cloud — allows you to intelligently capture the traces that actually matter to you.