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Co-authored-by: Ivan Yatskevich <ivan@yatskevich.com>
40 lines
1.9 KiB
Markdown
40 lines
1.9 KiB
Markdown
---
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sort: 1
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weight: 1
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title: Overview of Managed VictoriaMetrics
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menu:
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docs:
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parent: "managed"
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weight: 1
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aliases:
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- /managed-victoriametrics/overview.html
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---
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# Overview of Managed VictoriaMetrics
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VictoriaMetrics is a fast and easy-to-use monitoring solution and time series database.
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It integrates well with existing monitoring systems such as Grafana, Prometheus, Graphite,
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InfluxDB, OpenTSDB and DataDog - see [these docs](https://docs.victoriametrics.com/#how-to-import-time-series-data) for details.
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The most common use cases for VictoriaMetrics are:
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* Long-term remote storage for Prometheus;
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* More efficient drop-in replacement for Prometheus and Graphite
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* Replacement for InfluxDB and OpenTSDB, which uses lower amounts of RAM, CPU and disk;
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* Cost-efficient alternative for DataDog.
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Managed VictoriaMetrics allows users to run Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical
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DevOps tasks such as proper configuration, monitoring, logs collection, access protection, software updates,
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backups, etc. [Try it right now](https://cloud.victoriametrics.com/signUp?utm_source=website&utm_campaign=docs_overview)
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We run Managed VictoriaMetrics instances in our environment on AWS and provide easy-to-use endpoints
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for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software
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maintenance.
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Managed VictoriaMetrics comes with the following features:
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* It can be used as a Managed Prometheus - just configure Prometheus or vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus datasource in Grafana;
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* Every Managed VictoriaMetrics instance runs in an isolated environment, so instances cannot interfere with each other;
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* Managed VictoriaMetrics instance can be scaled up or scaled down in a few clicks;
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* Automated backups;
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* Pay only for the actually used resources - compute, storage, traffic.
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