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docs/Single-server-VictoriaMetrics.md: put contact us email to the top of the page

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README.md
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@ -10,13 +10,17 @@
## VictoriaMetrics
VictoriaMetrics is fast, cost-effective and scalable time-series database. It can be used as long-term remote storage for Prometheus.
VictoriaMetrics is fast, cost-effective and scalable time-series database.
It is available in [binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases),
[docker images](https://hub.docker.com/r/victoriametrics/victoria-metrics/) and
in [source code](https://github.com/VictoriaMetrics/VictoriaMetrics). Just download VictoriaMetrics and see [how to start it](#how-to-start-victoriametrics).
Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
[Contact us](mailto:info@victoriametrics.com) if you need paid enterprise support for VictoriaMetrics.
## Case studies and talks
* [Adidas](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#adidas)
@ -34,6 +38,8 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
## Prominent features
* VictoriaMetrics can be used as long-term storage for Prometheus or for [vmagent](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmagent/README.md).
See [these docs](#prometheus-setup) for details.
* Supports [Prometheus querying API](https://prometheus.io/docs/prometheus/latest/querying/api/), so it can be used as Prometheus drop-in replacement in Grafana.
VictoriaMetrics implements [MetricsQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) query language, which is inspired by PromQL.
* Supports global query view. Multiple Prometheus instances may write data into VictoriaMetrics. Later this data may be used in a single query.

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docs/Single-server-VictoriaMetrics.md
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@ -10,13 +10,17 @@
## VictoriaMetrics
VictoriaMetrics is fast, cost-effective and scalable time-series database. It can be used as long-term remote storage for Prometheus.
VictoriaMetrics is fast, cost-effective and scalable time-series database.
It is available in [binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases),
[docker images](https://hub.docker.com/r/victoriametrics/victoria-metrics/) and
in [source code](https://github.com/VictoriaMetrics/VictoriaMetrics). Just download VictoriaMetrics and see [how to start it](#how-to-start-victoriametrics).
Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
[Contact us](mailto:info@victoriametrics.com) if you need paid enterprise support for VictoriaMetrics.
## Case studies and talks
* [Adidas](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#adidas)
@ -34,6 +38,8 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
## Prominent features
* VictoriaMetrics can be used as long-term storage for Prometheus or for [vmagent](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmagent/README.md).
See [these docs](#prometheus-setup) for details.
* Supports [Prometheus querying API](https://prometheus.io/docs/prometheus/latest/querying/api/), so it can be used as Prometheus drop-in replacement in Grafana.
VictoriaMetrics implements [MetricsQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) query language, which is inspired by PromQL.
* Supports global query view. Multiple Prometheus instances may write data into VictoriaMetrics. Later this data may be used in a single query.