This is archived documentation for v1.5.1. Go to the latest version.
Commonly used terms and abbreviations within Grafana Enterprise Metrics documentation are as follows:
|Access policy||An access policy is a resource that contains a granular set of permissions which specify what actions a request to GEM is allowed to do. In GEM, access policies are created with the desired set of permissions. Then API tokens can be generated that are associated with a particular access policy. You can also configure GEM to integrate with an OAuth backend to externally generate tokens associated with a particular access policy.|
|Cluster||A cluster is a licensed deployment of Grafana Metric Enterprise. Clusters are uniquely named and must have a corresponding license.|
|Instance||An instance represents a tenant that is scoped to a particular cluster. New samples can be written to a instance and queries can be issued to a particular instance. Each instance will store its metrics in a separate set of TSDB blocks that are stored in the configured storage bucket. The blocks themselves will be stored in the bucket with the name of the instance as a prefix. This means once an instance is created, its name cannot be changed. However, the display_name for an instance can be changed.|
|Token||A token is a randomly generated string that can be used as an API key when making requests to GEM.|
Related Metrics Enterprise resources
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How Robinhood scaled from 100M to 700M time series with Grafana Enterprise Metrics
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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.