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Source: prometheus
Section: net
Priority: extra
Maintainer: Debian Go Packaging Team <pkg-go-maintainers@lists.alioth.debian.org>
Uploaders: Martín Ferrari <tincho@debian.org>
Build-Depends: adduser, debhelper (>= 9.0.0),
golang-go (>= 1.6),
dh-golang (>= 1.17~),
golang-github-asaskevich-govalidator-dev,
golang-github-aws-aws-sdk-go-dev,
golang-github-azure-azure-sdk-for-go-dev,
golang-github-azure-go-autorest-dev,
golang-github-dgrijalva-jwt-go-dev,
golang-github-fsnotify-fsnotify-dev (>= 1.3.0-3),
golang-github-golang-snappy-dev (>= 0.0+git20160529),
golang-github-julienschmidt-httprouter-dev,
golang-github-miekg-dns-dev (>= 0.0~git20161018),
golang-github-prometheus-client-golang-dev,
golang-github-prometheus-client-model-dev,
golang-github-prometheus-common-dev (>= 0+git20161002),
golang-github-samuel-go-zookeeper-dev,
golang-github-sirupsen-logrus-dev,
golang-golang-x-net-dev (>= 1:0.0+git20160518),
golang-golang-x-oauth2-google-dev,
golang-golang-x-sys-dev,
golang-goleveldb-dev,
golang-google-api-dev,
golang-gopkg-yaml.v2-dev,
Standards-Version: 3.9.8
Vcs-Git: https://anonscm.debian.org/git/pkg-go/packages/prometheus.git/
Vcs-Browser: https://anonscm.debian.org/cgit/pkg-go/packages/prometheus.git/
Homepage: https://prometheus.io/
Package: prometheus
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, daemon,
libjs-bootstrap,
libjs-eonasdan-bootstrap-datetimepicker,
libjs-mustache,
libjs-jquery (>= 1.11.3~),
libjs-jquery-hotkeys,
libjs-moment,
libjs-rickshaw,
Recommends: prometheus-node-exporter
Built-Using: ${misc:Built-Using}
Description: Monitoring system and time series database
Prometheus is a systems and services 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.
* Federation support coming soon.
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