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The Prometheus monitoring system and time series database.
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Matt T. Proud d79c932a8e Merge pull request #120 from prometheus/feature/storage/compaction 
Spin up curator run in the tests.
2013-04-05 04:55:59 -07:00
appstate Use AST query analyzer and views with tiered storage. 2013-03-21 18:16:52 +01:00
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rules Allow single-letter identifiers (metric and label names). 2013-03-28 18:37:54 +01:00
storage Merge pull request #120 from prometheus/feature/storage/compaction 2013-04-05 04:55:59 -07:00
utility Include LevelDB fixture generators for curator. 2013-03-27 15:13:40 +01:00
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README.md

Prometheus

Bedecke deinen Himmel, Zeus! A new kid is in town.

Prometheus is a generic time series collection and computation server that is useful in the following fields:

  1. Industrial Experimentation / Real-Time Behavioral Validation / Software Release Qualification
  2. Econometric and Natural Sciences
  3. Operational Concerns and Monitoring

The system is designed to collect telemetry from named targets on given intervals, evaluate rule expressions, display the results, and trigger an action if some condition is observed to be true.

Prerequisites

  1. Go 1.0.X. GVM is highly recommended as well.
  2. LevelDB: (https://code.google.com/p/leveldb/).
  3. Protocol Buffers Compiler: (http://code.google.com/p/protobuf/).
  4. goprotobuf: the code generator and runtime library: (http://code.google.com/p/goprotobuf/).
  5. Levigo, a Go-wrapper around LevelDB's C library: (https://github.com/jmhodges/levigo).
  6. GoRest, a RESTful style web-services framework: (http://code.google.com/p/gorest/).
  7. Prometheus Client, Prometheus in Prometheus (https://github.com/prometheus/client_golang).
  8. Snappy, a compression library for LevelDB and Levigo (http://code.google.com/p/snappy/).

Getting Started

For basic help how to get started:

Testing

Build Status

License

Apache License 2.0