- Sold by Grafana Labs
Easily upgrade to Grafana Enterprise on Amazon Managed Grafana for premium data sources, as well as support and professional services from Grafana Labs, the creators of Grafana.
Grafana Labs is the company behind leading open source projects Grafana and Loki, and the creator of the first open and composable observability platform.
Easily upgrade to Grafana Enterprise on Amazon Managed Grafana for premium data sources, as well as support and professional services from Grafana Labs, the creators of Grafana.
Upgrade open-source Grafana with premium data sources, access control, reporting and other functionality, as well as support and professional services from Grafana Labs, the creators of Grafana. This Grafana Enterprise offering is for customers who want to self-manage Grafana on AWS.
Easily upgrade to Grafana Enterprise on Amazon Managed Grafana for premium data sources, as well as support and professional services from Grafana Labs, the creators of Grafana.
Grafana Enterprise Metrics (GEM) is the simple-to-setup, secure-by-default, batteries-included solution for a unified view into Prometheus and Graphite metrics. It provides all the benefits of the Cortex OSS project, plus the features that enterprises value, such as tenant authentication, usage insights, and fine-grained access controls. GEM enables organizations to centralize their metrics in one store, giving them the global view they need to analyze and understand their systems.
Grafana Enterprise Logs (GEL) is an Enterprise-ready log aggregation and query system built on the open source Loki project. Its unique approach to log indexing, storage, and administration control allows companies to run it efficiently and securely at scale. GEL enables everyone in an organization to retain and query their log data, while providing administrators a way to easily manage permissions and access rights via a built-in Grafana interface. It makes it cost-effective to keep all the logs you want, while adding the ability to absorb large spikes in ingestion and query volume.
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