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--- | ||
title: M3 Documentation | ||
weight: 1 | ||
--- | ||
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||
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## About | ||
|
||
After using open-source metrics solutions and finding issues with them at scale – such as reliability, cost, and | ||
operational complexity – [M3](https://github.com/m3db/m3) was created from the ground up to provide Uber with a | ||
native, distributed time series database, a highly-dynamic and performant aggregation service, a query engine, and | ||
other supporting infrastructure. | ||
|
||
## Key Features | ||
|
||
M3 has several features, provided as discrete components, which make it an ideal platform for time series data at scale: | ||
|
||
- A distributed time series database, [M3DB](/docs/m3db/), that provides scalable storage for time series data and a reverse index. | ||
- A sidecar process, [M3Coordinator](/docs/integrations/prometheus), that allows M3DB to act as the long-term storage for Prometheus. | ||
- A distributed query engine, [M3Query](/docs/m3query), with native support for PromQL and Graphite (M3QL coming soon). | ||
<!-- Add M3Aggregator link --> | ||
- An aggregation tier, M3Aggregator, that runs as a dedicated metrics aggregator/downsampler allowing metrics to be stored at various retentions at different resolutions. | ||
|
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## Getting Started | ||
|
||
**Note:** Make sure to read our [Operational Guides](/docs/operational_guide) before running in production! | ||
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Getting started with M3 is as easy as following one of the How-To guides. | ||
|
||
- [Single M3DB node deployment](/docs/quickstart) | ||
- [Clustered M3DB deployment](/docs/how_to/cluster_hard_way) | ||
- [M3DB on Kubernetes](/docs/operator) | ||
- [Isolated M3Query on deployment](/docs/how_to/query) | ||
|
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## Support | ||
|
||
For support with any issues, questions about M3 or its operation, or to leave any comments, the team can be | ||
reached in a variety of ways: | ||
|
||
- [Slack (main chat channel)](http://bit.ly/m3slack) | ||
- [Email](https://groups.google.com/forum/#!forum/m3db) | ||
- [Github issues](https://github.com/m3db/m3/issues) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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--- | ||
title: M3 Introduction | ||
weight: 1 | ||
permalink: /docs/ | ||
--- | ||
|
||
|
||
## About | ||
|
||
After using open-source metrics solutions and finding issues with them at scale – such as reliability, cost, and | ||
operational complexity – [M3](https://github.com/m3db/m3) was created from the ground up to provide Uber with a | ||
native, distributed time series database, a highly-dynamic and performant aggregation service, a query engine, and | ||
other supporting infrastructure. | ||
|
||
## Key Features | ||
|
||
M3 has several features, provided as discrete components, which make it an ideal platform for time series data at scale: | ||
|
||
- A distributed time series database, [M3DB](/docs/m3db/), that provides scalable storage for time series data and a reverse index. | ||
- A sidecar process, [M3Coordinator](/docs/integrations/prometheus), that allows M3DB to act as the long-term storage for Prometheus. | ||
- A distributed query engine, [M3Query](/docs/m3query), with native support for PromQL and Graphite (M3QL coming soon). | ||
<!-- Add M3Aggregator link --> | ||
- An aggregation tier, M3Aggregator, that runs as a dedicated metrics aggregator/downsampler allowing metrics to be stored at various retentions at different resolutions. | ||
|
||
## Getting Started | ||
|
||
**Note:** Make sure to read our [Operational Guides](/docs/operational_guide) before running in production! | ||
|
||
Getting started with M3 is as easy as following one of the How-To guides. | ||
|
||
- [Single M3DB node deployment](/docs/quickstart) | ||
- [Clustered M3DB deployment](/docs/how_to/cluster_hard_way) | ||
- [M3DB on Kubernetes](/docs/operator) | ||
- [Isolated M3Query on deployment](/docs/how_to/query) | ||
|
||
## Support | ||
|
||
For support with any issues, questions about M3 or its operation, or to leave any comments, the team can be | ||
reached in a variety of ways: | ||
|
||
- [Slack (main chat channel)](http://bit.ly/m3slack) | ||
- [Email](https://groups.google.com/forum/#!forum/m3db) | ||
- [Github issues](https://github.com/m3db/m3/issues) |
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