Version 1.7 release notes
The Grafana Enterprise Metrics (GEM) team is excited to announce the release of GEM 1.7.
Features and enhancements
- GEM’s admin-api is now compatible with Azure Blob storage. Check out the
admin_client_configsection of the global configuration for more details on how to set this up. - Two enhancements have been made to the federation frontend, a service which allows users to query multiple GEM clusters at once and combine the results. Please see Cluster query federation for more information.
- The federation frontend service will now propagate a request’s bearer token, allowing that token to be used for authentication at its downstream targets.
- The federation frontend service now supports TLS configuration to its downstream targets.
Upgrade considerations
Users can upgrade from GEM 1.6.2 to GEM 1.7 with no additional considerations.
Bug fixes
v1.7.1
- 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.
