ec08c9a391
This gives up on the idea to communicate throuh the Append() call (by either not returning as it is now or returning an error as suggested/explored elsewhere). Here I have added a Throttled() call, which has the advantage that it can be called before a whole _batch_ of Append()'s. Scrapes will happen completely or not at all. Same for rule group evaluations. That's a highly desired behavior (as discussed elsewhere). The code is even simpler now as the whole ingestion buffer could be removed. Logging of throttled mode has been streamlined and will create at most one message per minute. |
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|---|---|---|
| cmd | ||
| config | ||
| console_libraries | ||
| consoles | ||
| documentation | ||
| notification | ||
| promql | ||
| retrieval | ||
| rules | ||
| scripts | ||
| storage | ||
| template | ||
| util | ||
| vendor | ||
| version | ||
| web | ||
| .dockerignore | ||
| .gitignore | ||
| .travis.yml | ||
| AUTHORS.md | ||
| CHANGELOG.md | ||
| circle.yml | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| LICENSE | ||
| Makefile | ||
| NOTICE | ||
| README.md | ||
Prometheus 
Prometheus 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 releases section of the GitHub repository. Using the latest production release binary is the recommended way of installing Prometheus.
Debian and RPM packages are being worked on.
Building from source
To build Prometheus from the source code yourself you need to have a working Go environment with version 1.5 or greater installed.
You can directly use the go tool to download and install the prometheus
and promtool binaries into your GOPATH. We use Go 1.5's experimental
vendoring feature, so you will also need to set the GO15VENDOREXPERIMENT=1
environment variable in this case:
$ GO15VENDOREXPERIMENT=1 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
$ ./prometheus -config.file=your_config.yml
The Makefile provides several targets:
- build: build the
prometheusandpromtoolbinaries - test: run the 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. - All of the core developers are accessible via the Prometheus Developers Mailinglist and the
#prometheuschannel onirc.freenode.net.
Contributing
Refer to CONTRIBUTING.md
License
Apache License 2.0, see LICENSE.