Operations | Monitoring | ITSM | DevOps | Cloud

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.

How does Uber use continuous profiling to improve performance and resource efficiency across several million CPU cores? In this Grafana Cloud case study, Senior Researcher Chris Zhang from Uber’s Frontier Tech Labs explains how the team uses Grafana Cloud Profiles and Grafana Assistant to identify expensive code and scale code optimization across its production systems.

How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.

We asked some members of the Grafana AI team what AI tool they use every day, and here are the results. This was taken in June 2026, at the AI offsite in Amsterdam, the Netherlands.

In the October edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 4.6 release and the upcoming 4.7 feature release, and the next 5.0 major release.