代码引自：https://github.com/prometheus/prometheus

在此基础进行2次开发，添加前端管理页面，对监控节点、告警规则等信息进行可视化管理。以及钉钉告警和可视化管控告警方式功能

部署方式：

$ mkdir -p $GOPATH/src/github.com/prometheus
$ cd $GOPATH/src/github.com/prometheus
$ git clone https://github.com/1182640071/prometheus.git
$ cd prometheus
$ make build
$ ./prometheus --config.file=/${your_path}/prometheus.yml \
--basic.config.file=/${your_path}/basic.conf  \
--storage.tsdb.retention=90d \
--storage.tsdb.path=/data  \
--storage.remote.read-sample-limit=5e6 \
--storage.remote.flush-deadline=60s \
--web.read-timeout=2m \
--query.timeout=2m \
--web.enable-admin-api \
--query.max-concurrency=100 \
--alertmanager.timeout=10s

--web.enable-lifecycle 默认为true

prometheus.yml可以创建一个最简单的，后续由prometheus监管平台来管理 basic.conf如下：

basic.conf 内容:
[db]
drivername=postgres
username=postgres
password=postgres
ip=10.36.3.123
port=5432
dbname=prometheus maxIdleConns=10
maxOpenConns=3 [login]
metrics=/login,/userAuthentication,/-/reload,/sendMessages,/api/v1

metrics是开发不登录也可以对外访问的接口 sql语句见：SQL.md

以下内容为原版prometheus文档

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'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.