1dcb7637f5
Add metrics around checkpointing and persistence * Add a metric to say if checkpointing is happening, and another to track total checkpoint time and count. This breaks the existing prometheus_local_storage_checkpoint_duration_seconds by renaming it to prometheus_local_storage_checkpoint_last_duration_seconds as the former name is more appropriate for a summary. * Add metric for last checkpoint size. * Add metric for series/chunks processed by checkpoints. For long checkpoints it'd be useful to see how they're progressing. * Add metric for dirty series * Add metric for number of chunks persisted per series. You can get the number of chunks from chunk_ops, but not the matching number of series. This helps determine the size of the writes being made. * Add metric for chunks queued for persistence Chunks created includes both chunks that'll need persistence and chunks read in for queries. This only includes chunks created for persistence. * Code review comments on new persistence metrics. |
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| discovery | ||
| documentation | ||
| notifier | ||
| promql | ||
| relabel | ||
| retrieval | ||
| rules | ||
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| storage | ||
| template | ||
| util | ||
| vendor | ||
| web | ||
| .dockerignore | ||
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| .travis.yml | ||
| AUTHORS.md | ||
| CHANGELOG.md | ||
| circle.yml | ||
| code-of-conduct.md | ||
| CONTRIBUTING.md | ||
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| LICENSE | ||
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| VERSION | ||
Prometheus 
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.
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 build
$ ./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.