prometheus

by prometheus

prometheus / prometheus

The Prometheus monitoring system and time series database.

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Prometheus

CircleCI Docker Repository on Quay Docker Pulls Go Report Card CII Best Practices fuzzit Gitpod ready-to-code

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

  • a multi-dimensional data model (time series defined by metric name and set of key/value dimensions)
  • PromQL, a powerful and flexible query language to leverage this dimensionality
  • no dependency on distributed storage; single server nodes are autonomous
  • time series collection happens via a pull model over HTTP
  • pushing time series 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.

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 1.13 or greater installed. You will also need to have Node.js and Yarn installed in order to build the frontend assets.

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

However, when using

go get
to build Prometheus, Prometheus will expect to be able to read its web assets from local filesystem directories under
web/ui/static
and
web/ui/templates
. In order for these assets to be found, you will have to run Prometheus from the root of the cloned repository. Note also that these directories do not include the new experimental React UI unless it has been built explicitly using
make assets
or
make build
.

An example of the above configuration file can be found here.

You can also clone the repository yourself and build using

make build
, which will compile in the web assets so that Prometheus can be run from anywhere:
$ 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 (includes building and compiling in web assets)
  • test: run the tests
  • test-short: run the short tests
  • format: format the source code
  • vet: check the source code for common errors
  • docker: build a docker container for the current
    HEAD
  • assets: build the new experimental React UI

React UI Development

For more information on building, running, and developing on the new React-based UI, see the React app's README.md.

More information

Contributing

Refer to CONTRIBUTING.md

License

Apache License 2.0, see LICENSE.

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