Grafana Labs
Grafana Labs at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Applying proven reliability metrics to measure whether AI agents truly perform”, “Grafana Tempo 3.1 Empowers Operators to Redact Traces with Simple Queries”, and “Explore how AI now connects insights across 30+ data sources”. Measuring AI agent reliability doesn't require new theory, just proven metrics. Grafana Tempo 3.1 gives operators something they have needed for a long time: the ability to redact traces using a simple TraceQL query instead of manually listing trace IDs. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Grafana Labs story on Beyond Market Intelligence, newest first.
Applying proven reliability metrics to measure whether AI agents truly perform
Measuring AI agent reliability doesn't require new theory, just proven metrics. Grafana Labs proposes applying familiar reliability engineering principles to the unfamiliar challenge of determining whether an AI agent actually behaves well. It's a pragmatic move that treats AI agents like any other production system: test them, measure them, and hold them accountable. For teams already using Grafana Tempo 3.1 to redact traces with simple queries, this approach extends observability into AI performance.
Grafana Tempo 3.1 Empowers Operators to Redact Traces with Simple Queries
Grafana Tempo 3.1 gives operators something they have needed for a long time: the ability to redact traces using a simple TraceQL query instead of manually listing trace IDs. This small change makes data management far more practical. The update also adds TLS support to the Kafka client and introduces an experimental hint for correcting sampled metrics. For a deeper look at how sampling affects observability data, see our related story on how EVE Online tames 20 years of telemetry.
Explore how AI now connects insights across 30+ data sources
Grafana Assistant now reaches across more than 30 data sources, letting users query and correlate information through plain language. That is a meaningful step for anyone juggling multiple monitoring tools. The expansion removes friction from observability, turning complex troubleshooting into a conversation rather than a chore. For those already exploring how AI reshapes workflows, this feels like a natural progression.