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Take Grafana Labs' 5th annual Observability Survey
Over the past year, "agentic" has gone from an emerging buzzword to an integral part of worklife for many engineers—and that's just scratching the surface on all that's changed. With so much upheaval, there's never been a better time to capture the pulse of the industry, which is why we want you to take Grafana Labs' fifth annual Observability Survey.
Manage your OpenTelemetry Collectors with Fleet Management in Grafana Cloud
If you’ve built your telemetry pipelines around OpenTelemetry Collectors, you’ve already invested in a collector distribution, YAML configuration, and a deployment model that fits your infrastructure. As that deployment grows, managing it means keeping shared configuration consistent, accommodating different workloads, and understanding whether your collectors are healthy.
Manage synthetic checks at scale: Introducing folders in Grafana Cloud Synthetic Monitoring
As your use of Grafana Cloud Synthetic Monitoring grows, so does the number of checks you need to manage across services, environments, and teams. Eventually, a single flat list of checks becomes difficult to navigate, and even simple questions get harder to answer: Which checks belong to the payments team? Can I disable everything in staging during a maintenance window? Who should be able to edit the checks for this service?
Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more
Building on the major release of Tempo 3.0, Tempo 3.1 is here, delivering community-contributed Kafka client improvements, query-based trace redaction, sampling-aware TraceQL metrics, and more.
What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior
At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for.
Grafana Alerting: Scale alert routing without scaling complexity using multiple notification policies
Alert routing often starts simple. A team creates a few contact points, adds some label matchers, and builds a notification policy tree that sends each alert to the right destination.