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Operating GEM
The following sections document some different aspects of running GEM:
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Related resources from Grafana Labs
Additional helpful documentation, links, and articles:
![How Robinhood scaled from 100M to 700M time series with Grafana Enterprise Metrics](/static/assets/img/blog/recap_-wednesday-9-session-9.jpg?w=200 200w, /static/assets/img/blog/recap_-wednesday-9-session-9.jpg?w=400 400w)
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).
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Benchmarking Grafana Enterprise Metrics for horizontally scaling Prometheus up to 500 million active series
![Scaling and securing your Prometheus metrics in Grafana Cloud](/static/assets/featured/scaling-and-securing-your-prometheus-metrics-amer-featured.png?w=200 200w, /static/assets/featured/scaling-and-securing-your-prometheus-metrics-amer-featured.png?w=400 400w)
Scaling and securing your Prometheus metrics in Grafana Cloud
In this webinar, we’ll go over Grafana Enterprise Metrics (GEM), a simple and scalable Prometheus service that is seamless to use, and simple to maintain