Version 2.3 release notes
Grafana Labs is excited to announce the release of Grafana Enterprise Metrics (GEM) 2.3, which is built on top of Grafana Mimir 2.3.
GEM 2.3 inherits all of the features, enhancements, and bugfixes that are in the Grafana Mimir 2.3 release. Given this, it’s best to start with the Grafana Mimir 2.3 release notes.
Features and enhancements
- The Gateway component now exposes TSDB block upload routes to facilitate the experimental backfilling feature introduced in Grafana Mimir 2.3. To learn more about the backfill feature, please see mimirtool backfill and Configure TSDB block upload.
- The new
commonYAML config option key (or
-common.storage.*CLI flags) for setting object storage for multiple components now also apply to the Admin Client.
- It is now possible to enable the Graphite Proxy.
- The gateway service now opens up port 80 as well as 8080. Port 8080 is deprecated and will be removed by default in version 6.0 of the Helm chart.
- The Gateway component’s default dial timeout has been changed to
30s. This is configurable with the new CLI flags of the form
-gateway.proxy.*.dial-timeout(and their respective
This release also inherits the breaking changes made in the Grafana Mimir 2.3 release. See the Upgrade considerations section of the Grafana Mimir 2.3 release notes for details.
After you upgrade to GEM 2.3, upgrade your GEM plugin to the latest version. For more information about the most recent enhancements and bugfixes in the GEM plugin, see the Grafana Enterprise Metrics: Changelog.
- Fixed CVE-2022-44643
Related Enterprise Metrics resources
Running Prometheus-as-a-service with Grafana Enterprise Metrics
Introducing Grafana Enterprise Metrics (GEM), a simple and scalable Prometheus service that is seamless to use, simple to maintain, and supported by Grafana Labs.
How Robinhood scaled from 100M to 700M time series with Grafana Enterprise Metrics
In this GrafanaCONline session, the Robinhood team tells how GME (GameStop) led to GEM (Grafana Enterprise Metrics).
Benchmarking Grafana Enterprise Metrics for horizontally scaling Prometheus up to 500 million active series
We stress-tested GEM to show how it horizontally scaled. One takeaway: Hardware usage scales linearly up to 500 million active series.