Operations | Monitoring | ITSM | DevOps | Cloud

Managing observability costs at scale is no easy task — especially when metrics volume grows fast. In this talk, Paul Givens, Head of Observability at The Trade Desk, shares how they implemented Adaptive Metrics to control costs without sacrificing visibility. How Adaptive Metrics works to reduce cardinality and cost Real-world implementation lessons from a high-scale AdTech environment Key takeaways for teams managing large Prometheus-like metric sets.

Data source variables let you change where Grafana looks for data without having to create duplicate dashboards. So for example, if you have multiple different Prometheus databases, you can have one dashboard and use a data source variable to choose which Prometheus that dashboard uses. We'll look at how to set these up in this video. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

Learn how LBAC for metrics data sources, a feature in Grafana 11.6, allows fine-grained access control to data sources by filtering metrics based on labels.

In this Loki community call, Poyzan (Staff Engineer on the Loki team) returns this time with Paul Rogers (Staff Engineer on the Loki team) to talk all about Loki cache! This topic was heavily discussed in our "How to run Loki at scale on Kubernetes" call.