Version 2.1 release notes
Grafana Labs is excited to announce the release of Grafana Enterprise Metrics (GEM) 2.1. GEM 2.1 is built on top of Grafana Mimir 2.1, which means it inherits all its features, enhancements, and bugfixes. Given this, we recommend you start by reading the Grafana Mimir 2.1 release notes.
Below, we highlight the most important features, enhancements, and bugfixes specific to GEM 2.1. For the full list of changes, see the Changelog.
Features and enhancements
The following list highlights the features and enhancements in Grafana Enterprise Metrics 2.1:
Remoteruler mode for improved rule evaluation performance: This experimental feature is inherited from Grafana Mimir 2.1 and is explained in more detail in the Mimir 2.1 release notes. GEM 2.1 adds an additional configuration parameter,
-ruler.query-frontend.auth-token, which is required for configuring the
remoteruler with GEM enterprise authentication. See Remote rule evaluation for more information.
- Page fault metrics for self-monitoring: GEM now collects and stores metrics tracking the number of page faults and out-of-memory kills it experiences, making it easier to debug performance issues.
We’ve released a new version of our Helm chart in tandem with the GEM 2.1 release. The upgrade for users of the Helm chart has no breaking changes.
Once you upgrade to GEM 2.1, we recommend you upgrade your Grafana Enterprise GEM plugin to the latest version. For more information on the most recent enhancements and fixes, see the plugin’s changelog page.
- Fixed a bug where ruler limits (e.g., maximum number of rules in a rule group or maximum number of rule groups per tenant) were not enforced when creating a rule group via GEM’s ruler API. These limits are now enforced.
- GEM now returns a generic error message to clients (e.g., the Grafana Agent) upon internal errors during authentication. The detailed error message is now written to the GEM logs rather than being returned to the client.
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.