Operations | Monitoring | ITSM | DevOps | Cloud

When Grafana Labs CEO and co-founder Raj Dutt announced to the team that the company would be launching Grafana Mimir, we knew that along with the public announcement, we would want to publish a Q&A. We collected questions from Grafanistas and Raj has answered them here.

Today we’re introducing you to Grafana Mimir, the most scalable, most performant open source time series database in the world. Mimir allows you to scale to 1 billion metrics and beyond, with simplified deployment, high availability, multi-tenancy, durable storage, and blazing fast query performance that is up to 40x faster than Cortex. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.

Grafana Labs and New Relic have a long history of working together to drive cross-functionality so joint customers can benefit from using Grafana and New Relic together. The New Relic data source plugin for Grafana — which is available to users with a Grafana Cloud account or with a Grafana Enterprise license — is no exception. In this quick tutorial video, we’ll not only show you how easy it is to configure the New Relic data source plugin in Grafana.

This week we have turned on full trace retention search (beta) in Grafana Cloud Traces. This feature was also introduced in the recent release of Grafana Tempo v1.3. Previously, if you brought up your Grafana Cloud Traces data source, you were greeted with this message: This message simply warned the user that the Grafana Tempo search was calibrated for recent traces only, regardless of the selected time window.

Managing your on-call rotations just got a little less stressful. With Grafana 8.0, we introduced unified alerting, which centralizes alerting information into a single, searchable view. With the introduction of Grafana OnCall, an easy-to-use on-call management tool available in Grafana Cloud, you can now extend the alerting workflow in Grafana to ensure that the right notifications reach the right people at the right time using the right method.

Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. The purpose of this post is to explain the value of Prometheus’ relabel_config block, the different places where it can be found, and its usefulness in taming Prometheus metrics. Much of the content here also applies to Grafana Agent users. For reference, here’s our guide to Reducing Prometheus metrics usage with relabeling.