The Prometheus monitoring system and time series database.
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Bartek Plotka f0863a604e Removed extra tsdb/testutil after merge.
Signed-off-by: Bartek Plotka <bwplotka@gmail.com>
2019-08-14 10:12:32 +01:00
.circleci .circleci/config.yml: limit the number of parallel tasks (#5705) 2019-07-15 11:20:08 +02:00
.github Cleanup after merging tsdb into prometheus 2019-08-13 14:04:14 +05:30
cmd Removed extra tsdb/testutil after merge. 2019-08-14 10:12:32 +01:00
config Removed extra tsdb/testutil after merge. 2019-08-14 10:12:32 +01:00
console_libraries Added humanizePercentage formatting to templates (#5670) 2019-06-15 08:59:57 +01:00
consoles Update console template example metric names. (#5678) 2019-06-17 12:13:29 +01:00
discovery Removed extra tsdb/testutil after merge. 2019-08-14 10:12:32 +01:00
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pkg Removed extra tsdb/testutil after merge. 2019-08-14 10:12:32 +01:00
prompb *: bump gRPC and protobuf dependencies (#5367) 2019-04-04 11:55:32 +02:00
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rules Correctly handle empty labels from alert templates. (#5845) 2019-08-13 11:19:17 +01:00
scrape Correctly handle empty labels from alert templates. (#5845) 2019-08-13 11:19:17 +01:00
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Prometheus

Build Status CircleCI Docker Repository on Quay Docker Pulls Go Report Card CII Best Practices

Visit prometheus.io for the full documentation, examples and guides.

Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Prometheus' main distinguishing features as compared to other monitoring systems are:

  • a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
  • a flexible query language to leverage this dimensionality
  • no dependency on distributed storage; single server nodes are autonomous
  • timeseries collection happens via a pull model over HTTP
  • pushing timeseries is supported via an intermediary gateway
  • targets are discovered via service discovery or static configuration
  • multiple modes of graphing and dashboarding support
  • support for hierarchical and horizontal federation

Architecture overview

Install

There are various ways of installing Prometheus.

Precompiled binaries

Precompiled binaries for released versions are available in the download section on prometheus.io. Using the latest production release binary is the recommended way of installing Prometheus. See the Installing chapter in the documentation for all the details.

Debian packages are available.

Docker images

Docker images are available on Quay.io or Docker Hub.

You can launch a Prometheus container for trying it out with

$ docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus

Prometheus will now be reachable at http://localhost:9090/.

Building from source

To build Prometheus from the source code yourself you need to have a working Go environment with version 1.12 or greater installed.

You can directly use the go tool to download and install the prometheus and promtool binaries into your GOPATH:

$ go get github.com/prometheus/prometheus/cmd/...
$ prometheus --config.file=your_config.yml

You can also clone the repository yourself and build using make:

$ mkdir -p $GOPATH/src/github.com/prometheus
$ cd $GOPATH/src/github.com/prometheus
$ git clone https://github.com/prometheus/prometheus.git
$ cd prometheus
$ make build
$ ./prometheus --config.file=your_config.yml

The Makefile provides several targets:

  • build: build the prometheus and promtool binaries
  • test: run the tests
  • test-short: run the short tests
  • format: format the source code
  • vet: check the source code for common errors
  • assets: rebuild the static assets
  • docker: build a docker container for the current HEAD

More information

  • The source code is periodically indexed: Prometheus Core.
  • You will find a Travis CI configuration in .travis.yml.
  • See the Community page for how to reach the Prometheus developers and users on various communication channels.

Contributing

Refer to CONTRIBUTING.md

License

Apache License 2.0, see LICENSE.