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We're currently timestamping samples with the time at the end of a scrape iteration. It makes more sense to use a timestamp from the beginning of the scrape for two reasons: a) this time is more relevant to the scraped values than the time at the end of the HTTP-GET + JSON decoding work. b) it reduces sample timestamp jitter if we measure at the beginning, and not at the completion of a scrape.
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:
- Industrial Experimentation / Real-Time Behavioral Validation / Software Release Qualification
- Econometric and Natural Sciences
- 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
- Go 1.0.X. GVM is highly recommended as well.
- LevelDB: (https://code.google.com/p/leveldb/).
- Protocol Buffers Compiler: (http://code.google.com/p/protobuf/).
- goprotobuf: the code generator and runtime library: (http://code.google.com/p/goprotobuf/).
- Levigo, a Go-wrapper around LevelDB's C library: (https://github.com/jmhodges/levigo).
- GoRest, a RESTful style web-services framework: (http://code.google.com/p/gorest/).
- Prometheus Client, Prometheus in Prometheus (https://github.com/prometheus/client_golang).
- Snappy, a compression library for LevelDB and Levigo (http://code.google.com/p/snappy/).
Getting Started
For basic help how to get started:
- The source code is periodically indexed: Prometheus Core.
- For Linux users, please consult the Travis CI configuration in .travis.yml and Makefile.TRAVIS.
- Getting started on Mac OSX
- All of the core developers are accessible via the Prometheus Developers Mailinglist.
Testing
License
Apache License 2.0