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The Prometheus monitoring system and time series database.
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Julius Volz 42bdf921d1
Fetch integrated memory/disk data for simple Get* functions. 		12 years ago
appstate Use AST query analyzer and views with tiered storage. 12 years ago
coding Checkpoint. 12 years ago
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documentation Remove/replace last references to github.com/matttproud/... 12 years ago
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retrieval Include humanized target state strings. 12 years ago
rules In case of empty query results, return an empty matrix. 12 years ago
storage Fetch integrated memory/disk data for simple Get* functions. 12 years ago
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main.go Use AST query analyzer and views with tiered storage. 12 years ago

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:

License

Apache License 2.0