搜索

开源云原生CI/CD框架Tekton国内部署方式

k8s技术圈

共 11755字，需浏览 24分钟

 ·

2021-10-26 19:41

Tekton 是一款功能非常强大而灵活的 CI/CD 开源的云原生框架。致力于提供全功能、标准化的云原生 CI/CD 解决方案。【本文主要是通过流水线自动化的将tekton镜像同步到腾讯云仓库，并部署tekton】

应用镜像

阿里云镜像仓库居然有限制...这次转到腾讯云镜像仓库了；ccr.ccs.tencentyun.com/tektons/dashboard

Pipeline

借助GitHub Actions:

  1. 同步镜像并生成镜像映射文件（json）:
  2. 收集镜像映射文件为制品；
 This is a basic workflow to help you get started with Actions

name: Get Tekton Images
env:
  VERSION: v0.29.0

on:
  push:
    paths:
      - '.github/workflows/tekton.yaml'
      - 'tekton/**'

jobs:
  build:
    runs-on: ubuntu-18.04
    steps:
    - uses: actions/checkout@v2
    - name: build
      run: |
      
        curl https://storage.googleapis.com/tekton-releases/pipeline/previous/${{ env.VERSION }}/release.yaml -o release.yaml
        grep  -v "#" release.yaml | grep -v "^$"  > release1.yaml  ; sed -i 's/\-\-\-/###/g' release1.yaml
        python3  tekton/get_tekton_images.py ${{ secrets.DOCKER_USER}} ${{ secrets.DOCKER_PASSWD}}
    - uses: actions/upload-artifact@v2
      with: 
        name: ${{ env.VERSION }}-tekton-images
        path: tekton_images.json


部署文件解析

  1. 下载release部署yaml;
  2. 解析Deployments对象中的images；
    1. tekton-pipelines-controller
    2. tekton-pipelines-webhook
    3. tekton-dashboard（最新tag）
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller:v0.29.0@sha256:72f79471f06d096cc53e51385017c9f0f7edbc87379bf415f99d4bd11cf7bc2b
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/kubeconfigwriter:v0.29.0@sha256:6d058f2203b9ab66f538cb586c7dc3b7cc31ae958a4135dd99e51799f24b06c9
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/git-init:v0.29.0@sha256:c0b0ed1cd81090ce8eecf60b936e9345089d9dfdb6ebdd2fd7b4a0341ef4f2b9
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/entrypoint:v0.29.0@sha256:66958b78766741c25e31954f47bc9fd53eaa28263506b262bf2cc6df04f18561
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/nop:v0.29.0@sha256:6a037d5ba27d9c6be32a9038bfe676fb67d2e4145b4f53e9c61fb3e69f06e816
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/imagedigestexporter:v0.29.0@sha256:e38dd0d32253fce5aaf1e501c0bc71facc3720564b7e97055921cc5390d612e0
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/pullrequest-init:v0.29.0@sha256:d28202fb8b33a1d4c05f261ef8dcbcdcf3b469887d4dad256ce91f73c917420e
gcr.io/google.com/cloudsdktool/cloud-sdk@sha256:27b2c22bf259d9bc1a291e99c63791ba0c27a04d2db0a43241ba0f1f20f4067f
gcr.io/distroless/base@sha256:aa4fd987555ea10e1a4ec8765da8158b5ffdfef1e72da512c7ede509bc9966c4
mcr.microsoft.com/powershell:nanoserver@sha256:b6d5ff841b78bdf2dfed7550000fd4f3437385b8fa686ec0f010be24777654d6
gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/webhook:v0.29.0@sha256:46d5b90a7f4e9996351ad893a26bcbd27216676ad4d5316088ce351fb2c2c3dd

用Python编写一个数据解析脚本：

import yaml
import json
import sys
import os

class Tekton :
    def __init__(self, file_name, registry_user, registry_passwd):
        self.yaml_file = file_name
        self.arg_imgs = ["gcr.io/tekton-releases/github.com/tektoncd/dashboard/cmd/dashboard@sha256:95f71a2568ced67ec370b5360f88bec3280601908cac9e62dfbb801114480437"]
        self.split_str = "###"
        self.deployments = ["tekton-pipelines-controller", "tekton-pipelines-webhook"]
        self.kind_type = "Deployment"
        self.target_registry = "ccr.ccs.tencentyun.com/tektons/"
        self.repos = [  "controller", "kubeconfigwriter", "git-init",
                        "entrypoint","nop","imagedigestexporter", 
                        "pullrequest-init", "cloud-sdk", "base", "powershell", "webhook"]
        self.result = []
        self.registry_user = registry_user
        self.registry_passwd = registry_passwd

    def load_yaml(self, data):
        content = yaml.load(data)
        return content

    def load_json(self, data):
        content = json.loads(data)
        return content

    def get_images(self):
        f = open(self.yaml_file, 'r').read()
        for i in f.split("###")[:-1]:
            try:
                content = self.load_yaml(i.replace("###", ""))
                if content["kind"] == self.kind_type:
                    deploy_name = content["metadata"]["name"]
                    # 获取image
                    if deploy_name in self.deployments:
                        img = content["spec"]["template"]["spec"]["containers"][0]["image"]
                        self.arg_imgs.append(img)
                    # 获取参数中的images
                    if deploy_name == "tekton-pipelines-controller":
                        arg_img =  content["spec"]["template"]["spec"]["containers"][0]["args"]
                        for a in arg_img:
                            if not a.startswith("-"):
                                self.arg_imgs.append(a)
            except Exception as e:
                print(e)
        return self.arg_imgs

    def save_json_file(self, data, file_name):
        for i in self.arg_imgs:
            self.result.append({
                "s_image": i,
                "t_image": self.target_registry + i.split("/")[-1].split("@")[0]
                })
        newdata = json.dumps(self.result, indent=4)
        a=open(file_name, 'w')
        a.write(newdata)
        a.close()

    def sync_images(self):
        f = open("tekton_images.json", 'r').read()
        content = self.load_json(f)
        docker_login_cmd = "docker login -u {0} -p {1} {2}".format(
            self.registry_user,
            self.registry_passwd,
            self.target_registry.split("/")[0])
        os.system(docker_login_cmd)
        for item in content:
            print("[GetImages] {}".format(item))
            docker_pull_cmd = "docker pull {0}".format(item["s_image"])
            docker_tag_cmd = "docker tag {0} {1}".format(item["s_image"], item["t_image"])
            docker_push_cmd = "docker push {0}".format(item["t_image"])
            os.system(docker_pull_cmd + "&&" + docker_tag_cmd + "&&" + docker_push_cmd )
            print("[GetImagesDone] {}".format(item))
        
if __name__ == '__main__':
    tekton = Tekton("release1.yaml", sys.argv[1], sys.argv[2])
    images = tekton.get_images()
    tekton.save_json_file(images, "tekton_images.json")
    tekton.sync_images()

镜像映射文件

s_image 原始镜像名称， t_image 目标镜像名称； 这里使用腾讯云的镜像仓库；

[
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/controller:v0.29.0@sha256:72f79471f06d096cc53e51385017c9f0f7edbc87379bf415f99d4bd11cf7bc2b",
        "t_image": "ccr.ccs.tencentyun.com/tektons/controller:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/kubeconfigwriter:v0.29.0@sha256:6d058f2203b9ab66f538cb586c7dc3b7cc31ae958a4135dd99e51799f24b06c9",
        "t_image": "ccr.ccs.tencentyun.com/tektons/kubeconfigwriter:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/git-init:v0.29.0@sha256:c0b0ed1cd81090ce8eecf60b936e9345089d9dfdb6ebdd2fd7b4a0341ef4f2b9",
        "t_image": "ccr.ccs.tencentyun.com/tektons/git-init:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/entrypoint:v0.29.0@sha256:66958b78766741c25e31954f47bc9fd53eaa28263506b262bf2cc6df04f18561",
        "t_image": "ccr.ccs.tencentyun.com/tektons/entrypoint:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/nop:v0.29.0@sha256:6a037d5ba27d9c6be32a9038bfe676fb67d2e4145b4f53e9c61fb3e69f06e816",
        "t_image": "ccr.ccs.tencentyun.com/tektons/nop:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/imagedigestexporter:v0.29.0@sha256:e38dd0d32253fce5aaf1e501c0bc71facc3720564b7e97055921cc5390d612e0",
        "t_image": "ccr.ccs.tencentyun.com/tektons/imagedigestexporter:v0.29.0"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/pullrequest-init:v0.29.0@sha256:d28202fb8b33a1d4c05f261ef8dcbcdcf3b469887d4dad256ce91f73c917420e",
        "t_image": "ccr.ccs.tencentyun.com/tektons/pullrequest-init:v0.29.0"
    },
    {
        "s_image": "gcr.io/google.com/cloudsdktool/cloud-sdk@sha256:27b2c22bf259d9bc1a291e99c63791ba0c27a04d2db0a43241ba0f1f20f4067f",
        "t_image": "ccr.ccs.tencentyun.com/tektons/cloud-sdk"
    },
    {
        "s_image": "gcr.io/distroless/base@sha256:aa4fd987555ea10e1a4ec8765da8158b5ffdfef1e72da512c7ede509bc9966c4",
        "t_image": "ccr.ccs.tencentyun.com/tektons/base"
    },
    {
        "s_image": "mcr.microsoft.com/powershell:nanoserver@sha256:b6d5ff841b78bdf2dfed7550000fd4f3437385b8fa686ec0f010be24777654d6",
        "t_image": "ccr.ccs.tencentyun.com/tektons/powershell:nanoserver"
    },
    {
        "s_image": "gcr.io/tekton-releases/github.com/tektoncd/pipeline/cmd/webhook:v0.29.0@sha256:46d5b90a7f4e9996351ad893a26bcbd27216676ad4d5316088ce351fb2c2c3dd",
        "t_image": "ccr.ccs.tencentyun.com/tektons/webhook:v0.29.0"
    },
    {
    "s_image": "gcr.io/tekton-releases/github.com/tektoncd/dashboard/cmd/dashboard@sha256:95f71a2568ced67ec370b5360f88bec3280601908cac9e62dfbb801114480437",
    "t_image": "ccr.ccs.tencentyun.com/tektons/dashboard"
    
    }
]

镜像映射文件可以在GitHubActions页面下载：

下载镜像脚本

解析上面生成的镜像文件，docker pull下载对应的镜像到本地；

import json 
import os

class Tekton:
    def __init__(self):
        self.json_file = "tekton_images.json"
        self.target_registry = "ccr.ccs.tencentyun.com/tektons/"
        # self.registry_user = registry_user
        # self.registry_passwd = registry_passwd

    def load_json(self, data):
        content = json.loads(data)
        return content

    def down_images(self):
        f = open(self.json_file, 'r').read()
        content = self.load_json(f)

        # docker_login_cmd = "docker login -u {0} -p {1} {2}".format(
        #             self.registry_user,
        #             self.registry_passwd,
        #             self.target_registry.split("/")[0])
        for item in content:
            print("[GetImages] {}".format(item["t_image"]))
            docker_pull_cmd = "docker pull {0}".format(item["t_image"])
            # docker_tag_cmd = "docker tag {0} {1}".format(item["t_image"], item["s_image"].split("@")[0])
            os.system(docker_pull_cmd + "&&" + docker_tag_cmd )
            print("[GetImagesDone] {}".format(item))

if __name__ == '__main__':
    t = Tekton().down_images()

部署Tekton

替换部署文件中的镜像:
  1. 手动更新release.yaml中的镜像；然后kubectl apply release.yaml 部署（后续有时间再优化脚本，实现自动更新release.yaml）
  2. 手动更新tekton-dashboard-release.yaml中的镜像；然后部署；
[root@master ~]# kubectl -n tekton-pipelines get pod
NAME                                          READY   STATUS    RESTARTS   AGE
tekton-dashboard-5c4b89d9-2z8g7               1/1     Running   0          21m
tekton-pipelines-controller-b96f647bb-gff69   1/1     Running   0          13h
tekton-pipelines-webhook-76bc9c97b9-cd2m4     1/1     Running   0          13h

编写一个Ingress来暴露tekton dashboard：

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: tekton-service
  namespace: tekton-pipelines
  annotations:
    kubernetes.io/ingress.class: nginx
    nginx.ingress.kubernetes.io/proxy-body-size: 256m
spec:
  rules:
  - host: tekton.idevops.site
    http:
     paths:
     - path: /
       backend:
          serviceName: tekton-dashboard
          servicePort: 9097

访问UI页面：

编写Pipeline

apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: tektoncd-task
spec:
  resources:
    inputs:
    - name: repo
      type: git
  steps:
  - name: run-test
    image: maven:3-jdk-8
    workingDir: /workspace/repo
    command: ["mvn"]
    args: ["clean", "package"]
---
apiVersion: tekton.dev/v1alpha1
kind: PipelineResource
metadata:
  name: tektoncd-resource
spec:
  type: git
  params:
    - name: url
      value: http://192.168.1.200/devops/devops-maven-service.git
    - name: revision
      value: master
---
apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
  name: cdpipeline
spec:
  taskRef:
    name: tektoncd-task
  resources:
    inputs:
    - name: repo
      resourceRef:
        name: tektoncd-resource


浏览 55
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报
评论
图片
表情
推荐
TektonKubernetes 原生 CI/CD 框架
Tekton是一个功能强大且灵活的Kubernetes原生框架，用于创建CI/CD系统。通过抽象出底层实现细节，允许开发者跨多云环境或本地系统进行构建、测试与部署。特性包括：工件管理：存储、管理和保护
TektonKubernetes 原生 CI/CD 框架
Tekton 是一个功能强大且灵活的 Kubernetes 原生框架，用于创建 CI/CD 系统。通
AtomCI云原生 CI/CD 平台
AtomCI 致力于让中小企业快速落地 Kubernetes，代码均已开源源起视频演示概述及如何安装
AtomCI云原生 CI/CD 平台
AtomCI致力于让中小企业快速落地Kubernetes，代码均已开源源起视频演示概述及如何安装部署视频链接介绍及快速开始视频链接5分钟全流程体验视频链接功能介绍>请移步互动交流AtomCI开发
利用 Tekton + ArgoCD 打造云原生 DevOps
DevOps技术栈
0
GitLab+Docker快速搭建CI/CD自动化部署
前端人
0
利用 Tekton + ArgoCD 打造云原生 GitSecOps | IDCF
DevOps
0
分享一个CI/CD的自动部署想法
跨界架构师
0
YugaByte开源云原生数据库
YugaByte是用于构建关键型应用的云原生数据库。YugaByte使用C++开发，支持Cassandra查询语言(CQL)以及Redis协议，对PostgreSQL协议的支持正在进行中，Spark应
YugaByte开源云原生数据库
YugaByte 是用于构建关键型应用的云原生数据库。YugaByte 使用 C++ 开发，支持 C
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报