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prom/prometheus

自动构建
prom

Prometheus(简称Prom)是一款开源的监控与告警系统,由SoundCloud发起,现为云原生计算基金会(CNCF)毕业项目,采用时序数据库存储监控指标,支持多维度数据模型和PromQL查询语言,可通过静态配置或动态服务发现机制采集数据,并能基于自定义规则触发告警,广泛集成于Kubernetes等云原生环境,为分布式系统提供可靠的性能监控与问题诊断能力。

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Prometheus

Visit prometheus.io for the full documentation, examples and guides.

https://github.com/prometheus/prometheus/actions/workflows/ci.yml/badge.svg](https://github.com/prometheus/prometheus/actions/workflows/ci.yml) https://goreportcard.com/badge/github.com/prometheus/prometheus](https://goreportcard.com/report/github.com/prometheus/prometheus) ![CII Best Practices]([] https://github.com/prometheus/prometheus/actions/workflows/govulncheck.yml/badge.svg?event=schedule](https://github.com/prometheus/prometheus/actions/workflows/govulncheck.yml) https://api.securityscorecards.dev/projects/github.com/prometheus/prometheus/badge](https://securityscorecards.dev/viewer/?uri=github.com/prometheus/prometheus) ![CLOMonitor]([] ![Fuzzing Status]([***]

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 when specified conditions are observed.

The features that distinguish Prometheus from other metrics and monitoring systems are:

  • A multi-dimensional data model (time series defined by metric name and set of key/value dimensions)
  • PromQL, a powerful and flexible query language to leverage this dimensionality
  • No dependency on distributed storage; single server nodes are autonomous
  • An HTTP pull model for time series collection
  • Pushing time series is supported via an intermediary gateway for batch jobs
  • Targets are discovered via service discovery or static configuration
  • Multiple modes of graphing and dashboarding support
  • Support for hierarchical and horizontal federation

Architecture overview

!Architecture overview

Install

There are various ways to install 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 to install Prometheus. See the Installing chapter in the documentation for all the details.

Docker images

Docker images are available on Quay.io or https://hub.docker.com/r/prom/prometheus/.

You can launch a Prometheus container for trying it out with

bash
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 source code, you need:

  • Go: Version specified in go.mod or greater.
  • NodeJS: Version specified in .nvmrc or greater.
  • npm: Version 10 or greater (check with npm --version and here).

Start by cloning the repository:

bash
git clone https://github.com/prometheus/prometheus.git
cd prometheus

You can use the go tool to build and install the prometheus and promtool binaries into your GOPATH:

bash
go install github.com/prometheus/prometheus/cmd/...
prometheus --config.file=your_config.yml

However, when using go install to build Prometheus, Prometheus will expect to be able to read its web assets from local filesystem directories under web/ui/static. In order for these assets to be found, you will have to run Prometheus from the root of the cloned repository. Note also that this directory does not include the React UI unless it has been built explicitly using make assets or make build.

An example of the above configuration file can be found https://github.com/prometheus/prometheus/blob/main/documentation/examples/prometheus.yml

You can also build using make build, which will compile in the web assets so that Prometheus can be run from anywhere:

bash
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
  • assets: build the React UI

Service discovery plugins

Prometheus is bundled with many service discovery plugins. You can customize which service discoveries are included in your build using Go build tags.

To exclude service discoveries when building with make build, add the desired tags to the .promu.yml file under build.tags.all:

yaml
build:
    tags:
        all:
            - netgo
            - builtinassets
            - remove_all_sd           # Exclude all optional SDs
            - enable_kubernetes_sd    # Re-enable only kubernetes

Then run make build as usual. Alternatively, when using go build directly:

bash
go build -tags "remove_all_sd,enable_kubernetes_sd" ./cmd/prometheus

Available build tags:

  • remove_all_sd - Exclude all optional service discoveries (keeps file_sd, static_sd, and http_sd)
  • enable_<name>_sd - Re-enable a specific SD when using remove_all_sd

If you add out-of-tree plugins, which we do not endorse at the moment, additional steps might be needed to adjust the go.mod and go.sum files. As always, be extra careful when loading third party code.

Building the Docker image

You can build a docker image locally with the following commands:

bash
make promu
promu crossbuild -p linux/amd64
make npm_licenses
make common-docker-amd64

The make docker target is intended only for use in our CI system and will not produce a fully working image when run locally.

Using Prometheus as a Go Library

Within the Prometheus project, repositories such as https://github.com/prometheus/common and https://github.com/prometheus/client-golang are designed as re-usable libraries.

The https://github.com/prometheus/prometheus repository builds a stand-alone program and is not designed for use as a library. We are aware that people do use parts as such, and we do not put any deliberate inconvenience in the way, but we want you to be aware that no care has been taken to make it work well as a library. For instance, you may encounter errors that only surface when used as a library.

Remote Write

We are publishing our Remote Write protobuf independently at buf.build.

You can use that as a library:

shell
go get buf.build/gen/go/prometheus/prometheus/protocolbuffers/go@latest

This is experimental.

Prometheus code base

In order to comply with go mod rules, Prometheus release number do not exactly match Go module releases.

For the Prometheus v3.y.z releases, we are publishing equivalent v0.3y.z tags. The y in v0.3y.z is always padded to two digits, with a leading zero if needed.

Therefore, a user that would want to use Prometheus v3.0.0 as a library could do:

shell
go get github.com/prometheus/prometheus@v0.300.0

For the Prometheus v2.y.z releases, we published the equivalent v0.y.z tags.

Therefore, a user that would want to use Prometheus v2.35.0 as a library could do:

shell
go get github.com/prometheus/prometheus@v0.35.0

This solution makes it clear that we might break our internal Go APIs between minor user-facing releases, as breaking changes are allowed in major version zero.

React UI Development

For more information on building, running, and developing on the React-based UI, see the React app's README.md.

More information

  • Godoc documentation is available via https://pkg.go.dev/github.com/prometheus/prometheus. Due to peculiarities of Go Modules, v3.y.z will be displayed as v0.3y.z (the y in v0.3y.z is always padded to two digits, with a leading zero if needed), while v2.y.z will be displayed as v0.y.z.
  • See the Community page for how to reach the Prometheus developers and users on various communication channels.

Contributing

Refer to https://github.com/prometheus/prometheus/blob/main/CONTRIBUTING.md

License

Apache License 2.0, see https://github.com/prometheus/prometheus/blob/main/LICENSE.

更多相关 Docker 镜像与资源

以下是 prom/prometheus 相关的常用 Docker 镜像,适用于 不同场景 等不同场景:

  • ubuntu/prometheus Docker 镜像说明(Prometheus 监控系统,基于 Ubuntu,适合生产环境)
  • bitnami/prometheus Docker 镜像说明(Prometheus 监控系统,Bitnami 企业级配置)
  • bitnamicharts/prometheus Docker 镜像说明(Prometheus 监控系统,Bitnami Charts 版本)
  • grafana/grafana Docker 镜像说明(Grafana 监控和可视化平台,支持多种数据源和仪表板)
  • bitnami/cadvisor Docker 镜像说明(cAdvisor 容器监控工具,Bitnami 企业级配置)

Deployment & Usage Documentation

Prometheus Docker 容器化部署指南

Prometheus是由Cloud Native Computing Foundation(CNCF)托管的开源系统监控和警报工具包,采用时序数据库存储监控数据,通过多维度数据模型和灵活的查询语言PromQL提供强大的指标分析能力。

Read More

镜像拉取方式

您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。

轩辕镜像加速拉取命令点我查看更多 prometheus 镜像标签

docker pull docker.xuanyuan.run/prom/prometheus:<标签>

使用方法:

  • 登录认证方式
  • 免认证方式

DockerHub 原生拉取命令

docker pull prom/prometheus:<标签>

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bitnamicharts
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Ubuntu 官方镜像
普罗米修斯是一款广泛应用于IT领域的系统与服务监控系统,它通过部署在目标环境中的组件对计算机系统、网络服务、应用程序等各类系统及服务的运行状态、资源使用情况、性能表现、故障信息等进行全天候实时监测、数据采集、指标分析与告警通知,为系统运维和管理提供可靠的数据支持,其中长期支持版本由Canonical公司负责持续维护与更新。
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CleanStart Prometheus镜像是为企业环境优化的生产就绪、安全加固容器,基于最小化基础OS构建,提供可靠的应用执行和高级安全特性。
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