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Bartlomiej Plotka 34426766d8 Unify Iterator interfaces. All point to storage now.
This is part of https://github.com/prometheus/prometheus/pull/5882 that can be done to simplify things.
All todos I added will be fixed in follow up PRs.

* querier.Querier, querier.Appender, querier.SeriesSet, and querier.Series interfaces merged
with storage interface.go. All imports that.
* querier.SeriesIterator replaced by chunkenc.Iterator
* Added chunkenc.Iterator.Seek method and tests for xor implementation (?)
* Since we properly handle SelectParams for Select methods I adjusted min max
based on that. This should help in terms of performance for queries with functions like offset.
* added Seek to deletedIterator and test.
* storage/tsdb was removed as it was only a unnecessary glue with incompatible structs.

No logic was changed, only different source of abstractions, so no need for benchmarks.

Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
2020-02-17 18:03:54 +00:00
.circleci Add windows tests for query logger (#6653) 2020-01-20 13:17:11 +00:00
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config discovery/kubernetes: expose label_selector and field_selector 2020-02-15 14:57:56 +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 discovery/kubernetes: expose label_selector and field_selector 2020-02-15 14:57:56 +01:00
docs discovery/kubernetes: expose label_selector and field_selector 2020-02-15 14:57:56 +01:00
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scripts React UI: Serve React UI under /new (#6229) 2019-10-28 10:45:53 +01:00
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CHANGELOG.md Release 2.16.0 (#6817) 2020-02-13 15:33:53 -08:00
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README.md

Prometheus

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

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 (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 1.13 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

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

  • The source code is periodically indexed: Prometheus Core.
  • You will find a CircleCI configuration in .circleci/config.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.