Overview

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.

Thanos leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

Concretely the aims of the project are:

Global query view of metrics.
Unlimited retention of metrics.
High availability of components, including Prometheus.

Architecture Overview

Getting Started

Features

Global querying view across all connected Prometheus servers
Deduplication and merging of metrics collected from Prometheus HA pairs
Seamless integration with existing Prometheus setups
Any object storage as its only, optional dependency
Downsampling historical data for massive query speedup
Cross-cluster federation
Fault-tolerant query routing
Simple gRPC "Store API" for unified data access across all metric data
Easy integration points for custom metric providers

Thanos Philosophy

The philosophy of Thanos and our community is borrowing much from UNIX philosophy and the golang programming language.

Each sub command should do one thing and do it well
- eg. thanos query proxies incoming calls to known store API endpoints merging the result
Write components that work together
- e.g. blocks should be stored in native prometheus format
Make it easy to read, write, and, run components
- e.g. reduce complexity in system design and implementation

Contributing

Contributions are very welcome! See our CONTRIBUTING.md for more information.

Community

Thanos is an open source project and we welcome new contributers and members of the community. Here are ways to get in touch with the community:

Slack: #thanos
Issue Tracker: GitHub Issues

License

antonio/thanos

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