├── .gitignore ├── README.md ├── SUMMARY.md ├── _book ├── devops │ ├── Jenkins-vs-gitlabci.html │ ├── addexists │ │ └── k8s.png │ ├── devops │ │ ├── 01.jpg │ │ ├── CF_Container_Runtime.png │ │ ├── containerum.svg │ │ ├── containerum01.png │ │ ├── fabric8.png │ │ ├── gitlab01.png │ │ └── spinnaker01.png │ ├── devops工具.html │ ├── devops工具简介与对比.html │ ├── gitlab ci 使用.html │ ├── gitlab-k8s.html │ ├── gitlab-runner issue.html │ ├── gitlab │ │ ├── 01.png │ │ └── 02.png │ ├── gitlab制作离线kubernetes插件安装.html │ ├── gitlab启用自带的docker-registry.html │ ├── gitlab添加已存在的kubernetes.html │ ├── images │ │ ├── gitlab-ce.png │ │ ├── gitlab-ce1.png │ │ ├── gitlab-ce2.png │ │ ├── jenkins-pipeline.png │ │ └── jenkins-pipeline2.png │ ├── index.html │ ├── jenkins-pipeline.html │ ├── jenkins.html │ ├── jenkins │ │ ├── Jenkinsfile.png │ │ ├── blueocean.png │ │ ├── homepage.png │ │ ├── pipeline.png │ │ └── pipelineactive.png │ ├── jenkins集成kubernetes环境cicd.html │ └── maven │ │ ├── Artifactory搭建Maven私服.html │ │ ├── index.html │ │ ├── maven插件配置.html │ │ ├── mave使用私有仓库nexus.html │ │ └── 上传jar到nexus.html ├── docker │ ├── Portus使用帮助.html │ ├── docker-hadoop.html │ ├── docker-hive.html │ ├── docker-kafka.html │ ├── docker-registry-manager.html │ ├── docker-registry-ui-Portus试用.html │ ├── docker与VM功能行对比.html │ ├── docker镜像与容器一些常用配置.html │ ├── index.html │ ├── markdown.rar │ ├── markdown │ │ ├── images │ │ │ └── portus.jpg │ │ └── portus.md │ ├── nexus │ │ ├── internal-docker-registry01.png │ │ ├── internal-docker-registry02.png │ │ ├── internal-docker-registry03.png │ │ ├── internal-docker-registry04.png │ │ └── internal-docker-registry05.png │ ├── nexus管理docker-registry试用.html │ └── portus │ │ ├── 01.png │ │ ├── 02.png │ │ ├── 03.png │ │ ├── 04.png │ │ ├── 05.png │ │ ├── 11.png │ │ ├── 12.png │ │ ├── 13.png │ │ ├── 14.png │ │ ├── 15.png │ │ ├── 16.png │ │ └── portus.jpg ├── gitbook │ ├── fonts │ │ └── fontawesome │ │ │ ├── FontAwesome.otf │ │ │ ├── fontawesome-webfont.eot │ │ │ ├── fontawesome-webfont.svg │ │ │ ├── fontawesome-webfont.ttf │ │ │ ├── fontawesome-webfont.woff │ │ │ └── fontawesome-webfont.woff2 │ ├── gitbook-plugin-fontsettings │ │ ├── fontsettings.js │ │ └── website.css │ ├── gitbook-plugin-highlight │ │ ├── ebook.css │ │ └── website.css │ ├── gitbook-plugin-livereload │ │ └── plugin.js │ ├── gitbook-plugin-lunr │ │ ├── lunr.min.js │ │ └── search-lunr.js │ ├── gitbook-plugin-search │ │ ├── lunr.min.js │ │ ├── search-engine.js │ │ ├── search.css │ │ └── search.js │ ├── gitbook-plugin-sharing │ │ └── buttons.js │ ├── gitbook.js │ ├── images │ │ ├── apple-touch-icon-precomposed-152.png │ │ └── favicon.ico │ ├── style.css │ └── theme.js ├── helm │ ├── chartmuseum使用.html │ ├── chart模板文件简单语法使用.html │ ├── helm chart和chart repo.html │ ├── helm使用.html │ ├── images │ │ └── monocular.png │ ├── monocular │ │ └── monocular2.png │ ├── 离线部署monocular.html │ └── 自定义helm的chart.html ├── index.html ├── k8s │ ├── Kompose使用.html │ ├── autoscale │ │ ├── CustomMetricsServer.png │ │ └── MetricsServer.png │ ├── calico │ │ ├── iperf3test.png │ │ ├── iperfprobe.png │ │ ├── qperfprobe.png │ │ └── testresult.png │ ├── calico网络插件安装.html │ ├── flund-bit日志收集套件相关配置.html │ ├── images │ │ └── k8s.png │ ├── index.html │ ├── k8s Operator sdk使用.html │ ├── k8s Operator使用.html │ ├── k8s-hostpath存储使用.html │ ├── k8s-kong-ingresscontroller │ │ └── k8s-kong-ingresscontroller.png │ ├── k8s-kong-ingresscontroller使用.html │ ├── k8s-traefik.html │ ├── k8s中kong使用nfs-provisioner存储.html │ ├── k8s使用ceph rbd.md │ ├── k8s使用kong.html │ ├── k8s动态使用glusterfs存储.html │ ├── k8s周边模块ansible化.md │ ├── k8s开发测试运维小工具.html │ ├── k8s的RBAC授权模式.html │ ├── k8s的services.html │ ├── k8s监控prometheus套件相关配置.html │ ├── k8s离线部署监控和日志组件.html │ ├── k8s调度组件.html │ ├── k8s部署konga.html │ ├── k8s配置多集群访问.html │ ├── kismatic 离线安装kubernetes.html │ ├── kismatic下calicoctl的使用.html │ ├── kismatic使用.html │ ├── kismatic使用glusterfs遇到的问题.html │ ├── kismatic升级calico3.1网络.html │ ├── kismatic重新建构calico网络.html │ ├── kong-dashboard │ │ ├── kong-dashboard-auth.png │ │ ├── kong-dashboard-consumer-jwt.png │ │ ├── kong-dashboard-consumer-key.png │ │ ├── kong-dashboard-consumer.png │ │ ├── kong-dashboard-dummy.png │ │ ├── kong-dashboard-host.png │ │ ├── kong-dashboard-plugins-apikey.png │ │ ├── kong-dashboard-plugins-jwt.png │ │ ├── kong-dashboard-plugins-ratelimit-size.png │ │ ├── kong-dashboard-plugins-ratelimit.png │ │ ├── kong-dashboard-plugins.png │ │ └── kong-dashboard-url.png │ ├── kong-dashboard使用.html │ ├── kong │ │ ├── firefoxaddon.png │ │ ├── jwttoken.png │ │ ├── modifyheader.png │ │ ├── requestheader.png │ │ └── servicepage.png │ ├── konga │ │ ├── consumers-jwt.png │ │ ├── consumers.png │ │ ├── konga-connections.png │ │ ├── plugins.png │ │ ├── routers.png │ │ ├── services-routers.png │ │ └── services.png │ ├── kong与konga数据库简单查询.html │ ├── kubeadm install kubernetes1.9.html │ ├── kubeapps │ │ └── dashboard-login.png │ ├── kubeapp使用.html │ ├── kubernetes-test │ │ ├── k8s-test.dia │ │ ├── load-kubespray.png │ │ ├── load-test01.png │ │ ├── network-kubespray.png │ │ ├── network-test01.png │ │ ├── sonobuoy-test01.png │ │ ├── sonobuoy-test02.png │ │ └── vm-1.png │ ├── kubernetes中pod的服务质量.html │ ├── kubernetes对自定义指标进行动态伸缩.html │ ├── kubernetes环境通用测试.html │ ├── kubernetes环境通用测试套件.html │ ├── kubernetes结合cilium.html │ ├── kubernetes结合openebs.html │ ├── kubernetes结合portworx.html │ ├── kubernetes结合rook部署ceph集群.html │ ├── kubernetes集成calico测试报告.html │ ├── kubespray │ │ ├── Rong版本升级集群_手动.html │ │ ├── Rong版本升级集群_自动.html │ │ ├── ansible部署ceph集群-ubuntu1604.html │ │ ├── ansible部署ceph集群.html │ │ ├── cephmonitor │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ └── 03.png │ │ ├── ceph集群监控.html │ │ ├── coredns │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ └── 03.png │ │ ├── dashboard │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ ├── 03.png │ │ │ └── 04.png │ │ ├── etcd节点迁移.html │ │ ├── harbor镜像仓库启用chartmuseum.html │ │ ├── index.html │ │ ├── k8s集群master与etcd故障备份与恢复.html │ │ ├── kubespray2.8启用gpu特性.html │ │ ├── kubespray2.9.0修改点.html │ │ ├── kubespray下载组件镜像方法.html │ │ ├── kubespray中kubernete-dashboard配置要点.html │ │ ├── kubespray升级集群.html │ │ ├── kubespray增加和删除worker节点.html │ │ ├── kubespray多master节点中一master节点故障的影响.html │ │ ├── kubespray模块IPVS和kube-router使用.html │ │ ├── kubespray模块kubeadm使用.html │ │ ├── kubespray模块nginx-ingresscontroller使用.html │ │ ├── kubespray模块分析.html │ │ ├── kubespray模块存储localvolume使用.html │ │ ├── kubespray添加删除etcd节点master节点.html │ │ ├── kubespray的cephfs_provisioner使用.html │ │ ├── kubespray的download_run_once安装.html │ │ ├── kubespray的rbd_provisioner使用.html │ │ ├── kubespray调整coredns实例数方法.html │ │ ├── kubevirt │ │ │ └── architecture.png │ │ ├── nginxingress │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ ├── 03.png │ │ │ ├── 04.png │ │ │ └── 05.png │ │ ├── promtheus-operator监控kubernetes集群.html │ │ ├── promtheus查询语言promQL.html │ │ ├── scale │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ ├── 03.png │ │ │ ├── 04.png │ │ │ ├── 05.png │ │ │ ├── 06.png │ │ │ ├── 07.png │ │ │ ├── 08.png │ │ │ ├── 09.png │ │ │ ├── 101.png │ │ │ └── 102.png │ │ └── testk8s │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ ├── 03.png │ │ │ ├── 04.png │ │ │ ├── 05.png │ │ │ ├── 06.png │ │ │ ├── 11.png │ │ │ ├── 12.png │ │ │ ├── 13.png │ │ │ ├── 14.png │ │ │ ├── 15.png │ │ │ ├── 16.png │ │ │ ├── 21.png │ │ │ ├── 22.png │ │ │ ├── 24.png │ │ │ ├── 25.png │ │ │ ├── 26.png │ │ │ ├── 31.png │ │ │ ├── 32.png │ │ │ ├── 33.png │ │ │ ├── 41.png │ │ │ ├── 42.png │ │ │ └── 43.png │ ├── logging │ │ ├── fluent-bitconfg.png │ │ ├── fluent-bitconfg1.png │ │ ├── fluent-bitconfg2.png │ │ ├── fluent-bitconfg3.png │ │ ├── fluent-bitconfg4.png │ │ ├── fluent-bitconfg5.png │ │ └── fluent-bitconfg6.png │ ├── matrixgateimages │ │ └── matrixgatenet.png │ ├── micservice.tar.gz │ ├── minikube安装.html │ ├── minikube集成calico网络.html │ ├── openebs存储helm安装.html │ ├── prometheus operator监控自定义服务.html │ ├── rook │ │ ├── 01.png │ │ ├── 02.png │ │ └── 03.png │ ├── tools │ │ └── kube-ops-view.png │ ├── 应用在k8s上运行的几种网络模式.html │ ├── 应用容器化指南.html │ └── 查看kube-apiserver的健康检测.html ├── openshift │ ├── index.html │ ├── keycloak与istio结合demo.html │ ├── minishift使用.html │ ├── minishift使用插件istio.html │ ├── openshift-buildconfig.html │ ├── openshift使用.html │ └── 部署helm到openshift.md ├── search_index.json ├── serverless │ ├── fission使用.html │ ├── index.html │ ├── kubeless使用.html │ ├── serverless.html │ └── serverless │ │ └── serverless01.png └── serviceMesh │ ├── apiusage │ └── apigroups.png │ ├── cilium │ ├── cilium-istio-cur.png │ ├── cilium-istio-fur-2.png │ └── cilium-istio-fur.png │ ├── docker-registry界面.md │ ├── index.html │ ├── istio ansible部署.html │ ├── istio helm部署.html │ ├── istio │ └── bookinfo.png │ ├── istio1.0 helm部署.html │ ├── istio1.0服务安全.md │ ├── istio1.0流量管理.html │ ├── istio1.0配置请求速率限制.md │ ├── istio安装实践.html │ ├── istio实战.html │ ├── istio实战注入策略配置.html │ ├── istio服务安全.html │ ├── istio流量管理.html │ ├── istio监控，日志，调用跟踪.html │ ├── istio配套网络插件cilium.html │ ├── istio配置请求速率限制.html │ ├── kubernetes istio api访问示例.html │ ├── kubernetesApiGatewayAmbassador实践.md │ ├── ntp.html │ ├── serviceMesh.html │ ├── servicemesh │ ├── servicemesh.png │ ├── servicemesh01.png │ ├── servicemesh02.png │ ├── servicemesh03.png │ └── servicemesh04.png │ ├── 微服务框架(k8sistio)的微服务要点功能支持.md │ ├── 微服务解决方案调研.html │ ├── 文档.md │ └── 需求.md ├── devops ├── Jenkins-vs-gitlabci.md ├── README.md ├── addexists │ └── k8s.png ├── argo-cd实现gitops.md ├── devops │ ├── 01.jpg │ ├── CF_Container_Runtime.png │ ├── containerum.svg │ ├── containerum01.png │ ├── fabric8.png │ ├── gitlab01.png │ └── spinnaker01.png ├── devops工具.md ├── devops工具简介与对比.md ├── efk-elastalert-alerta集中日志自动告警.md ├── efk │ ├── 01.png │ └── 02.png ├── efk集中管理npgstack集群日志.md ├── elastalert │ ├── 01.png │ ├── 02.png │ ├── 03.png │ ├── 04.png │ └── 05.png ├── elastic-APM应用性能监控套件.md ├── gitlab ci 使用.md ├── gitlab-k8s.md ├── gitlab-runner issue.md ├── gitlab │ ├── 01.png │ └── 02.png ├── gitlab使用helm安装.md ├── gitlab制作离线kubernetes插件安装.md ├── gitlab启用自带的docker-registry.md ├── gitlab添加已存在的kubernetes.md ├── gitops │ ├── arcdgo-01.png │ ├── gitops01.png │ ├── gitops02.png │ └── gogs01.png ├── images │ ├── gitlab-ce.png │ ├── gitlab-ce1.png │ ├── gitlab-ce2.png │ ├── jenkins-pipeline.png │ └── jenkins-pipeline2.png ├── jenkins-pipeline.md ├── jenkins.md ├── jenkins │ ├── Jenkinsfile.png │ ├── blueocean.png │ ├── homepage.png │ ├── pipeline.png │ └── pipelineactive.png ├── jenkins集成kubernetes环境cicd.md ├── maven │ ├── Artifactory搭建Maven私服.md │ ├── README.md │ ├── maven插件配置.md │ ├── mave使用私有仓库nexus.md │ └── 上传jar到nexus.md ├── npg收集指定多个文件目录存储大小监控指标.md ├── prometheus联邦federation.md ├── thanos │ ├── 01.png │ └── 02.png ├── thanos配置promethes高可用.md └── 日志收集工具对比.md ├── docker ├── Portus使用帮助.md ├── README.md ├── docker-hadoop.md ├── docker-hive.md ├── docker-kafka.md ├── docker-pass │ └── 01.png ├── docker-registry-manager.md ├── docker-registry-ui-Portus试用.md ├── docker与VM功能行对比.md ├── docker客户端证书持久化保存.md ├── docker镜像与容器一些常用配置.md ├── harbor │ ├── 01.png │ ├── 02.png │ ├── 03.png │ ├── 04.png │ ├── 05.png │ ├── Screenshot from 2020-06-12 18-33-51.png │ ├── Screenshot from 2020-06-12 18-37-52.png │ ├── a01.png │ ├── a02.png │ ├── a03.png │ ├── n01.png │ ├── p01.png │ └── p02.png ├── harborV2镜像安全解决方案.md ├── harbor证书生成.md ├── markdown.rar ├── markdown │ ├── images │ │ └── portus.jpg │ └── portus.md ├── nexus │ ├── internal-docker-registry01.png │ ├── internal-docker-registry02.png │ ├── internal-docker-registry03.png │ ├── internal-docker-registry04.png │ └── internal-docker-registry05.png ├── nexus管理docker-registry试用.md ├── portus │ ├── 01.png │ ├── 02.png │ ├── 03.png │ ├── 04.png │ ├── 05.png │ ├── 11.png │ ├── 12.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16.png │ └── portus.jpg ├── 容器安全调研.md ├── 容器镜像安全harbor实践.md └── 配置容器安全.md ├── helm ├── chartmuseum使用.md ├── chart模板文件简单语法使用.md ├── helm chart和chart repo.md ├── helm使用.md ├── images │ └── monocular.png ├── monocular │ └── monocular2.png ├── 离线部署monocular.md └── 自定义helm的chart.md ├── k8s ├── Kompose使用.md ├── Kubernetes存储系统介绍及机制实现.md ├── README.md ├── autoscale │ ├── CustomMetricsServer.png │ └── MetricsServer.png ├── calico │ ├── iperf3test.png │ ├── iperfprobe.png │ ├── qperfprobe.png │ └── testresult.png ├── calicol │ ├── 01.png │ ├── 02.png │ ├── 03.png │ └── 04.png ├── calico单个pod固定IP多pod固定ip池.md ├── calico网络插件安装.md ├── chaoskube使用.md ├── docker与k8s试题-问卷星.md ├── docker与k8s试题.md ├── etcdkeeper │ └── 01.png ├── etcd集群web界面展示etcdkeeper.md ├── flund-bit日志收集套件相关配置.md ├── flux配置gitops持续集成与部署.md ├── glusterfs运维操作.md ├── goland搭建.md ├── images │ └── k8s.png ├── ingress-nginx解析.md ├── ipvs │ ├── 01.png │ └── 02.png ├── k8s Operator sdk使用.md ├── k8s Operator使用.md ├── k8s-hostpath存储使用.md ├── k8s-kong-ingresscontroller │ └── k8s-kong-ingresscontroller.png ├── k8s-kong-ingresscontroller使用.md ├── k8s-stress压测k8s集群节点cpu.md ├── k8s-testsuite使用.md ├── k8s-traefik.md ├── k8sstress │ ├── hosttop.png │ ├── hosttoprs.png │ ├── k8s-yaml.png │ ├── kubectltop.png │ ├── podtop.png │ ├── podtoprs.png │ └── stresstest.png ├── k8stools │ ├── 01.png │ └── 02.png ├── k8s中kong使用nfs-provisioner存储.md ├── k8s使用ceph rbd.md ├── k8s使用kong.md ├── k8s动态使用glusterfs存储.md ├── k8s周边模块ansible化.md ├── k8s开发测试运维小工具.md ├── k8s环境prometheus-node-exporter监控物理机磁盘分区.md ├── k8s的RBAC授权模式.md ├── k8s的services.md ├── k8s监控prometheus套件相关配置.md ├── k8s离线部署监控和日志组件.md ├── k8s诊断工具.md ├── k8s调度组件.md ├── k8s部署konga.md ├── k8s配置多集群访问.md ├── katafygio │ ├── 01.png │ ├── 02.png │ ├── 03.png │ └── 04.png ├── katafygio备份k8s集群yaml文件到gitlab.md ├── keel自动更新k8s集群workload.md ├── kismatic 离线安装kubernetes.md ├── kismatic下calicoctl的使用.md ├── kismatic使用.md ├── kismatic使用glusterfs遇到的问题.md ├── kismatic升级calico3.1网络.md ├── kismatic重新建构calico网络.md ├── kong-dashboard │ ├── kong-dashboard-auth.png │ ├── kong-dashboard-consumer-jwt.png │ ├── kong-dashboard-consumer-key.png │ ├── kong-dashboard-consumer.png │ ├── kong-dashboard-dummy.png │ ├── kong-dashboard-host.png │ ├── kong-dashboard-plugins-apikey.png │ ├── kong-dashboard-plugins-jwt.png │ ├── kong-dashboard-plugins-ratelimit-size.png │ ├── kong-dashboard-plugins-ratelimit.png │ ├── kong-dashboard-plugins.png │ └── kong-dashboard-url.png ├── kong-dashboard使用.md ├── kong │ ├── firefoxaddon.png │ ├── jwttoken.png │ ├── modifyheader.png │ ├── requestheader.png │ └── servicepage.png ├── konga │ ├── consumers-jwt.png │ ├── consumers.png │ ├── konga-connections.png │ ├── plugins.png │ ├── routers.png │ ├── services-routers.png │ └── services.png ├── kong与konga数据库简单查询.md ├── kubeadm install kubernetes1.9.md ├── kubeadm │ └── upgrade-1-minor-version.png ├── kubeadm源代码编译.md ├── kubeapps │ └── dashboard-login.png ├── kubeapp使用.md ├── kubernetes-test │ ├── k8s-test.dia │ ├── load-kubespray.png │ ├── load-test01.png │ ├── network-kubespray.png │ ├── network-test01.png │ ├── sonobuoy-test01.png │ ├── sonobuoy-test02.png │ └── vm-1.png ├── kubernetes_coredns_add_customitem.md ├── kubernetes下etcdctl操作etcd集群.md ├── kubernetes中pod的服务质量.md ├── kubernetes对自定义指标进行动态伸缩.md ├── kubernetes环境通用测试.md ├── kubernetes环境通用测试套件.md ├── kubernetes结合cilium.md ├── kubernetes结合openebs.md ├── kubernetes结合portworx.md ├── kubernetes结合rook部署ceph集群.md ├── kubernetes网络插件cilium.md ├── kubernetes调度策略.md ├── kubernetes重新生成apiserver等组件证书与配置文件.md ├── kubernetes集成calico测试报告.md ├── kubesphere │ ├── kubesphere敏捷开发功能.md │ └── kubesphere日志错误解决集锦.md ├── kubespray │ ├── README.md │ ├── Rong修改flannel子网分配.md │ ├── Rong启用fluentd和kibana.md │ ├── Rong版本升级集群_手动.md │ ├── Rong版本升级集群_自动.md │ ├── Rong由iptables切换至ipvs.md │ ├── ansible部署ceph集群-ubuntu1604.md │ ├── ansible部署ceph集群.md │ ├── cephmonitor │ │ ├── 01.png │ │ ├── 02.png │ │ └── 03.png │ ├── ceph集群监控.md │ ├── coredns │ │ ├── 01.png │ │ ├── 02.png │ │ └── 03.png │ ├── dashboard │ │ ├── 01.png │ │ ├── 02.png │ │ ├── 03.png │ │ └── 04.png │ ├── etcd节点迁移.md │ ├── harbor镜像仓库启用chartmuseum.md │ ├── ipvs │ │ ├── 01.png │ │ └── 02.png │ ├── k8s集群master与etcd故障备份与恢复.md │ ├── kubespray-2.10.0修改点.md │ ├── kubespray2.8启用gpu特性.md │ ├── kubespray2.9.0修改点.md │ ├── kubespray下载组件镜像方法.md │ ├── kubespray中kubernete-dashboard配置要点.md │ ├── kubespray升级集群.md │ ├── kubespray增加和删除worker节点.md │ ├── kubespray多master节点中一master节点故障的影响.md │ ├── kubespray安装kubernetes.md │ ├── kubespray模块IPVS和kube-router使用.md │ ├── kubespray模块kubeadm使用.md │ ├── kubespray模块nginx-ingresscontroller使用.md │ ├── kubespray模块分析.md │ ├── kubespray模块存储localvolume使用.md │ ├── kubespray添加删除etcd节点master节点.md │ ├── kubespray的cephfs_provisioner使用.md │ ├── kubespray的cilium网络插件使用.md │ ├── kubespray的download_run_once安装.md │ ├── kubespray的rbd_provisioner使用.md │ ├── kubespray的网络插件.md │ ├── kubespray节点处于notReady状态恢复.md │ ├── kubespray调整coredns实例数方法.md │ ├── kubevirt │ │ └── architecture.png │ ├── nginxingress │ │ ├── 01.png │ │ ├── 02.png │ │ ├── 03.png │ │ ├── 04.png │ │ └── 05.png │ ├── promtheus-operator监控kubernetes集群.md │ ├── promtheus查询语言promQL.md │ ├── scale │ │ ├── 01.png │ │ ├── 02.png │ │ ├── 03.png │ │ ├── 04.png │ │ ├── 05.png │ │ ├── 06.png │ │ ├── 07.png │ │ ├── 08.png │ │ ├── 09.png │ │ ├── 101.png │ │ └── 102.png │ └── testk8s │ │ ├── 01.png │ │ ├── 02.png │ │ ├── 03.png │ │ ├── 04.png │ │ ├── 05.png │ │ ├── 06.png │ │ ├── 11.png │ │ ├── 12.png │ │ ├── 13.png │ │ ├── 14.png │ │ ├── 15.png │ │ ├── 16.png │ │ ├── 21.png │ │ ├── 22.png │ │ ├── 24.png │ │ ├── 25.png │ │ ├── 26.png │ │ ├── 31.png │ │ ├── 32.png │ │ ├── 33.png │ │ ├── 41.png │ │ ├── 42.png │ │ └── 43.png ├── logging │ ├── fluent-bitconfg.png │ ├── fluent-bitconfg1.png │ ├── fluent-bitconfg2.png │ ├── fluent-bitconfg3.png │ ├── fluent-bitconfg4.png │ ├── fluent-bitconfg5.png │ └── fluent-bitconfg6.png ├── matrixgateimages │ └── matrixgatenet.png ├── micservice.tar.gz ├── minikube安装.md ├── minikube集成calico网络.md ├── netdata │ └── restclient-tool-view.png ├── netdata主要指标.md ├── netdata使用.md ├── netdata的api调用.md ├── node-exporter │ ├── 1090599164.jpg │ ├── 1194108065.jpg │ ├── 1951091745.jpg │ └── 575045370.jpg ├── openebs存储helm安装.md ├── prometheus operator监控自定义服务.md ├── prometheus存储.md ├── prometheus监控calico和gluster.md ├── rancher │ ├── 00.png │ ├── 01.png │ ├── 02.png │ ├── 03.png │ ├── 04.png │ ├── 05.png │ ├── 06.png │ ├── 07.png │ ├── 08.png │ ├── 09.png │ ├── 10.png │ ├── 11.png │ ├── 12.png │ ├── 13.png │ ├── 14.png │ ├── 15.png │ ├── 16.png │ ├── 17.png │ ├── 18.png │ ├── 19.png │ ├── 20.png │ ├── 21.png │ ├── 22.png │ ├── 23.png │ ├── 24.png │ ├── 25.png │ ├── 26.png │ ├── 27.png │ ├── 28.png │ ├── 29.png │ ├── 30.png │ ├── 31.png │ ├── 32.png │ ├── 33.png │ ├── 34.png │ ├── 35.png │ ├── 36.png │ ├── 36001.png │ ├── 36002.png │ ├── 36003.png │ ├── 36004.png │ ├── 3601.png │ ├── 3602.png │ ├── 37.png │ └── 38.png ├── rancher2 │ ├── 01.png │ ├── 02.png │ ├── 03.png │ └── ui-pl.png ├── rancher配置私有公司名logo搭配gogs.md ├── rancher集成kubespray多集群管理.md ├── rook │ ├── 01.png │ ├── 02.png │ └── 03.png ├── stash │ ├── b1.png │ ├── b2.png │ ├── monitoring01.png │ ├── monitoring02.png │ ├── monitoring03.png │ ├── monitoring04.png │ ├── monitoring05.png │ ├── r1.png │ ├── r2.png │ ├── stash-backup.svg │ ├── stash-offline-backup.svg │ └── stash-recovery.svg ├── stash使用minio.md ├── stash备份与恢复k8s集群持久化存储卷.md ├── stash开启监控.md ├── tools │ └── kube-ops-view.png ├── treafix配置与解析.md ├── upgrade │ ├── upgrade.tar.gz │ └── upgrade │ │ ├── images │ │ ├── 2019_04_24_09_00_30_628x472.jpg │ │ ├── 2019_04_24_09_06_18_362x280.jpg │ │ ├── 2019_04_24_09_09_46_738x151.jpg │ │ ├── 2019_04_24_09_10_42_752x274.jpg │ │ ├── 2019_04_24_09_10_50_759x277.jpg │ │ ├── 2019_04_24_09_13_17_708x268.jpg │ │ ├── 2019_04_24_09_14_25_733x249.jpg │ │ ├── 2019_04_24_09_15_30_675x185.jpg │ │ ├── 2019_04_24_09_16_20_739x310.jpg │ │ ├── 2019_04_24_09_17_25_722x257.jpg │ │ ├── 2019_04_24_09_18_32_326x273.jpg │ │ ├── 2019_04_24_09_19_24_555x157.jpg │ │ ├── 2019_04_24_09_21_41_473x188.jpg │ │ ├── 2019_04_24_09_22_22_719x252.jpg │ │ ├── 2019_04_24_09_23_23_295x287.jpg │ │ ├── 2019_04_24_09_24_17_647x153.jpg │ │ ├── 2019_04_24_09_25_19_587x162.jpg │ │ ├── 2019_04_24_09_27_55_725x186.jpg │ │ ├── 2019_04_24_09_29_41_311x280.jpg │ │ ├── 2019_04_24_09_30_25_639x147.jpg │ │ ├── 2019_04_24_09_31_53_1920x1080.jpg │ │ ├── 2019_04_24_09_32_06_580x161.jpg │ │ ├── 2019_04_24_09_33_14_725x183.jpg │ │ ├── 2019_04_24_09_33_34_305x264.jpg │ │ ├── 2019_04_24_09_35_40_728x384.jpg │ │ ├── 2019_04_24_09_36_51_692x212.jpg │ │ ├── 2019_04_24_09_37_18_270x289.jpg │ │ ├── 2019_04_24_09_38_20_690x304.jpg │ │ ├── 2019_04_24_09_39_05_408x282.jpg │ │ ├── 2019_04_24_09_39_57_687x309.jpg │ │ ├── 2019_04_24_09_41_02_726x374.jpg │ │ ├── 2019_04_24_09_42_10_680x221.jpg │ │ ├── 2019_04_24_09_43_18_456x299.jpg │ │ ├── 2019_04_24_09_44_00_672x314.jpg │ │ ├── 2019_04_24_09_45_17_719x375.jpg │ │ ├── 2019_04_24_09_46_15_707x272.jpg │ │ ├── 2019_04_24_09_53_03_541x182.jpg │ │ ├── 2019_04_24_10_06_08_716x238.jpg │ │ ├── 2019_04_24_10_06_49_714x240.jpg │ │ ├── 2019_04_24_12_32_58_552x198.jpg │ │ ├── 2019_04_24_13_05_59_520x210.jpg │ │ ├── 2019_04_24_13_25_17_532x178.jpg │ │ ├── 2019_04_24_14_16_20_563x212.jpg │ │ ├── 2019_04_24_14_16_35_533x208.jpg │ │ ├── 2019_04_24_14_18_58_745x244.jpg │ │ ├── 2019_04_24_14_29_43_447x299.jpg │ │ ├── 2019_04_24_14_33_04_701x171.jpg │ │ ├── 2019_04_24_14_43_08_700x183.jpg │ │ ├── 2019_04_24_14_47_28_705x304.jpg │ │ ├── 2019_04_24_14_48_26_708x407.jpg │ │ ├── 2019_04_24_14_48_58_738x272.jpg │ │ ├── 2019_04_24_14_49_21_359x309.jpg │ │ ├── 2019_04_24_14_49_52_522x190.jpg │ │ ├── 2019_04_24_14_50_34_356x331.jpg │ │ ├── 2019_04_24_14_50_46_459x167.jpg │ │ ├── 2019_04_24_14_51_16_416x150.jpg │ │ ├── 2019_04_24_14_51_26_416x150.jpg │ │ ├── 2019_04_24_14_52_03_379x293.jpg │ │ ├── 2019_04_24_14_52_39_766x367.jpg │ │ ├── 2019_04_24_14_53_06_414x169.jpg │ │ ├── 2019_04_24_14_53_30_561x143.jpg │ │ ├── 2019_04_24_15_00_14_716x243.jpg │ │ ├── 2019_04_24_15_04_01_532x167.jpg │ │ ├── 2019_04_24_15_22_27_691x288.jpg │ │ ├── 2019_04_24_16_30_34_465x300.jpg │ │ ├── 2019_04_24_17_03_46_540x421.jpg │ │ ├── 2019_04_24_17_28_52_721x417.jpg │ │ ├── 2019_04_25_16_03_38_309x168.jpg │ │ ├── 2019_04_25_16_58_23_877x495.jpg │ │ ├── 2019_04_25_16_59_03_1138x120.jpg │ │ ├── 2019_04_25_17_01_35_901x234.jpg │ │ ├── 2019_04_25_17_05_07_904x134.jpg │ │ ├── 2019_04_25_17_05_18_566x141.jpg │ │ ├── 2019_04_25_17_07_02_729x740.jpg │ │ ├── 2019_04_25_17_30_11_593x235.jpg │ │ ├── 2019_04_25_17_32_47_681x475.jpg │ │ ├── 2019_04_25_17_34_13_882x547.jpg │ │ ├── 2019_04_25_17_39_48_917x195.jpg │ │ ├── 2019_04_25_17_40_39_897x142.jpg │ │ ├── 2019_04_25_17_42_28_326x176.jpg │ │ ├── 2019_04_25_17_43_42_432x126.jpg │ │ ├── 2019_04_25_17_44_54_895x532.jpg │ │ ├── 2019_04_25_17_46_45_674x602.jpg │ │ ├── 2019_04_26_08_40_37_644x274.jpg │ │ ├── 2019_04_26_08_50_24_890x528.jpg │ │ ├── 2019_04_26_08_52_06_667x345.jpg │ │ ├── 2019_04_26_08_59_59_520x334.jpg │ │ ├── 2019_04_26_09_08_08_894x533.jpg │ │ ├── 2019_04_26_09_09_11_842x310.jpg │ │ ├── 2019_04_26_09_19_27_745x387.jpg │ │ ├── 2019_04_26_10_33_27_779x283.jpg │ │ ├── 2019_04_26_10_34_06_769x472.jpg │ │ ├── 2019_05_07_14_45_32_515x250.jpg │ │ ├── 2019_05_07_14_47_52_651x542.jpg │ │ ├── 2019_05_07_14_54_20_471x136.jpg │ │ ├── 2019_05_07_14_55_20_496x205.jpg │ │ ├── 2019_05_07_15_04_08_713x512.jpg │ │ ├── 2019_05_07_15_05_50_491x560.jpg │ │ ├── 2019_05_07_15_09_22_494x588.jpg │ │ ├── 2019_05_07_15_11_10_667x496.jpg │ │ ├── 2019_05_07_15_11_52_468x578.jpg │ │ ├── 2019_05_07_15_12_59_668x488.jpg │ │ ├── 2019_05_07_15_14_00_671x350.jpg │ │ ├── 2019_05_07_15_15_22_746x405.jpg │ │ ├── 2019_05_07_15_16_52_827x467.jpg │ │ ├── 2019_05_07_15_17_39_824x622.jpg │ │ ├── 2019_05_07_15_31_03_501x208.jpg │ │ ├── 2019_05_07_15_46_00_221x211.jpg │ │ ├── 2019_05_07_15_46_26_271x204.jpg │ │ ├── 2019_05_07_15_47_00_576x231.jpg │ │ ├── 2019_05_07_15_47_32_574x413.jpg │ │ ├── 2019_05_07_15_48_42_244x234.jpg │ │ ├── 2019_05_07_15_50_16_625x422.jpg │ │ ├── 2019_05_07_15_50_50_593x448.jpg │ │ ├── 2019_05_07_15_51_24_648x403.jpg │ │ ├── 2019_05_07_16_22_05_826x397.jpg │ │ ├── 2019_05_07_17_19_31_503x259.jpg │ │ ├── 2019_05_07_17_28_09_788x385.jpg │ │ ├── RongArchitecture.jpeg │ │ └── RongDeployment.jpeg │ │ └── rong_upgrade.md ├── velero │ ├── 01.png │ ├── 02.png │ ├── 03.png │ ├── 04.png │ ├── 05.png │ ├── 06.png │ ├── 07.png │ └── 08.png ├── velero备份与恢复k8s集群状态.md ├── wd.txt ├── 原生ubuntu140404安装Rong.md ├── 应用在k8s上运行的几种网络模式.md ├── 应用容器化指南.md ├── 手动同步apiserver与kubelet自动产生的证书.md └── 查看kube-apiserver的健康检测.md ├── middleware ├── README.md ├── hbase-k8s云化部署.md ├── kafka │ ├── 01.png │ ├── 02.png │ └── Screenshot from 2021-01-21 17-08-25.png ├── kafka运行在kubernetes上.md ├── milvus │ ├── 01.png │ └── 02.png ├── milvus云化.md ├── milvus云化prometheus监控.md └── redis运行在kubernetes上.md ├── openshift ├── README.md ├── keycloak与istio结合demo.md ├── minishift使用.md ├── minishift使用插件istio.md ├── openshift-buildconfig.md ├── openshift使用.md └── 部署helm到openshift.md ├── serverless ├── README.md ├── fission使用.md ├── kubeless使用.md ├── serverless.md └── serverless │ └── serverless01.png └── serviceMesh ├── README.md ├── apiusage └── apigroups.png ├── cilium ├── cilium-istio-cur.png ├── cilium-istio-fur-2.png └── cilium-istio-fur.png ├── docker-registry界面.md ├── istio ansible部署.md ├── istio helm部署.md ├── istio └── bookinfo.png ├── istio1.0 helm部署.md ├── istio1.0服务安全.md ├── istio1.0流量管理.md ├── istio1.0配置请求速率限制.md ├── istio安装实践.md ├── istio实战.md ├── istio实战注入策略配置.md ├── istio服务安全.md ├── istio流量管理.md ├── istio流量管理.pdf ├── istio监控，日志，调用跟踪.md ├── istio配套网络插件cilium.md ├── istio配置请求速率限制.md ├── istio配置请求速率限制.pdf ├── kubernetes istio api访问示例.md ├── kubernetesApiGatewayAmbassador实践.md ├── ntp.md ├── serviceMesh.md ├── servicemesh ├── servicemesh.png ├── servicemesh01.png ├── servicemesh02.png ├── servicemesh03.png └── servicemesh04.png ├── 微服务框架(k8sistio)的微服务要点功能支持.md ├── 微服务解决方案调研.md ├── 文档.md └── 需求.md /.gitignore: -------------------------------------------------------------------------------- 1 | *~ 2 | *.swp 3 | _book 4 | _book/* 5 | *.pdf 6 | 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``` 14 | docker run -v $(pwd)/registry-web.yml:/conf/config.yml:ro \ 15 | -v $(pwd)/devdockerCA.crt:/conf/auth.key -v $(pwd)/db:/data \ 16 | -it -p 8080:8080 --link dockerregistry_registry_1 --name registry-web hyper/docker-registry-web 17 | ``` 18 | 功能有限，只能查看 19 | ``` 20 | sudo docker run \ 21 | -d \ 22 | -e ENV_DOCKER_REGISTRY_HOST=192.192.189.1 \ 23 | -e ENV_DOCKER_REGISTRY_PORT=5000 \ 24 | -p 8080:80 \ 25 | konradkleine/docker-registry-frontend:v2 26 | ``` 27 | ``` 28 | sudo docker run \ 29 | -d \ 30 | -e ENV_DOCKER_REGISTRY_HOST=192.192.189.105 \ 31 | -e ENV_DOCKER_REGISTRY_PORT=5000 \ 32 | -e ENV_DOCKER_REGISTRY_USE_SSL=1 \ 33 | -p 8080:80 \ 34 | konradkleine/docker-registry-frontend:v2 35 | ``` -------------------------------------------------------------------------------- /_book/serviceMesh/istio/bookinfo.png: -------------------------------------------------------------------------------- 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172.20.0.1 443/TCP 6h 23 | 24 | curl -v http://192.192.189.121:31986/qotm/ 25 | ``` 26 | 访问ambassador的ui界面 27 | ``` 28 | http://192.192.189.121:31264/ambassador/v0/diag/ 29 | ``` 30 | ###ambassador添加认证功能 31 | 32 | 33 | ###ambassador添加访问速率限制功能 34 | 35 | ###ambassador添加动态路由 36 | 37 | ###结合istio使用 38 | 39 | ###ambassador的统计，监控，告警 -------------------------------------------------------------------------------- /_book/serviceMesh/servicemesh/servicemesh.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/_book/serviceMesh/servicemesh/servicemesh.png -------------------------------------------------------------------------------- /_book/serviceMesh/servicemesh/servicemesh01.png: -------------------------------------------------------------------------------- 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时间范围：api的访问在指定时间内可以被访问，一旦超出时间范围，则不予响应。 17 | 无限制：api的访问次数无限制。 18 | 19 | 目前是针对api访问次数进行限制，不知道后期会不会加入对api的访问总流量添加限制。 20 | -------------------------------------------------------------------------------- /devops/Jenkins-vs-gitlabci.md: -------------------------------------------------------------------------------- 1 | 持续集成环境选择：Jenkins VS gitlab-ci 2 | 3 | Jenkins 4 | 5 | Jenkins作为老牌的持续集成框架，在这么多年的发展中，积累很多优秀的plugin工具，对进行持续集成工作带来很大的便利。 6 | 7 | gitlab-ci 8 | 9 | gitlab-ci作为gitlab提供的一个持续集成的套件，完美和gitlab进行集成，gitlab-ci已经集成进gitlab服务器中，在使用的时候只需要安装配置gitlab-runner即可。 10 | gitlab-runner基本上提供了一个可以进行编译的环境，负责从gitlab中拉取代码，根据工程中配置的gitlab-ci.yml，执行相应的命令进行编译。 11 | 12 | jenkins VS gitlab-runner 13 | 14 | gitlab-runner配置简单，很容易与gitlab集成。当新建一个项目的时候，不需要配置webhook回调地址，也不需要同时在jenkins新建这个项目的编译配置，只需在工程中配置gitlab-ci.yml文件，就可以让这个工程可以进行编译。 15 | gitlab-runner没有web页面，但编译的过程直接就在gitlab中可以看到，不需要像jenkins进入web控制台查看编译过程。 16 | gitlab-runner仅仅是提供了一个编译的环境而已，全部的编译都通过shell脚本命令进行。当然，jenkins也可以是全部的编译都通过shell脚本命令进行。 17 | jenkins的好处就是编译服务和代码仓库分离，而且编译配置文件不需要在工程中配置，如果团队有开发、测试、配置管理员、运维、实施等完整的人员配置，那就采用jenkins，这样职责分明。不仅仅如此，jenkins依靠它丰富的插件，可以配置很多gitlab-ci不存在的功能，比如说看编译状况统计等。如果团队是互联网类型，讲究的是敏捷开发，那么开发=devOps，肯定是采用最便捷的开发方式，推荐gitlab-ci。 18 | 如果有些敏感的配置文件不方便存放在工程中（例如nexus上传jar的账户和密码或者是其他配置的账户密码）,都可以在服务器中配置即可。 19 | gitlab-ci对于编译需要的环境，比如jdk，maven都需要自行配置。在jenkins中，对于编译需要的环境，比如jdk，maven都可以在Web控制台安装即可。当然，jenkins也是可以自行配置的（有时候通过控制台配置下载不下来）。 20 | - 21 | 总结 22 | 23 | 在使用过两者后，个人觉得gitlab-ci更简单易用，如果有gitlab-ci达不到的要求，可以考虑使用jenkins。 -------------------------------------------------------------------------------- /devops/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用devops的学习记录 -------------------------------------------------------------------------------- /devops/addexists/k8s.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/devops/addexists/k8s.png 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######在配置文件/etc/gitlab/config.toml中加入extra_hosts = ["gitlab:10.64.3.13"] 8 | 9 | ```` 10 | concurrent = 1 11 | check_interval = 0 12 | 13 | [[runners]] 14 | name = "docker" 15 | url = "http://10.64.3.13/ci" 16 | token = "44d7d1c859e9f0c72698d14be2c005" 17 | executor = "docker" 18 | [runners.docker] 19 | tls_verify = false 20 | image = "ruby:2.1" 21 | privileged = true 22 | disable_cache = false 23 | volumes = ["/cache"] 24 | shm_size = 0 25 | pull_policy = "if-not-present" 26 | extra_hosts = ["gitlab:10.64.3.13"] 27 | [runners.cache] 28 | ```` -------------------------------------------------------------------------------- /devops/gitlab/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/devops/gitlab/01.png -------------------------------------------------------------------------------- /devops/gitlab/02.png: 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xww-HP-EliteBook-8460p:4567 25 | ``` 26 | 登录内置的registry 27 | 用户名和密码与gitlab的登录用户名密码一致，这也是gitlab用户权限控制的设计。 28 | 上传和下载镜像是通用的docker命令 29 | ``` 30 | docker tag busybox:latest xww-HP-EliteBook-8460p:4567/xww/web/busybox:v1 31 | docker push xww-HP-EliteBook-8460p:4567/xww/web/busybox:v1 32 | ``` 33 | gitlab的docker registry可以和gitlab runner配合，在```.gitlab-ci.yaml```使用（在文件中使用docker命令操作内置registry镜像），前提需要gitlab-runner配置docker login。 34 | 35 | 在gitlab项目的registry页面上可以查看和删除上传后的docker 镜像。 36 | 37 | 亮点： 38 | 1、内置的registry与gitlab用户一致，能控制reginstry镜像使用范围在gitlab project内。 -------------------------------------------------------------------------------- /devops/gitops/arcdgo-01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/devops/gitops/arcdgo-01.png -------------------------------------------------------------------------------- /devops/gitops/gitops01.png: 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jenkins-data:/var/jenkins_home -v /var/run/docker.sock:/var/run/docker.sock -v /media/xww/sda1/myproject/jenkins:/home jenkinsci/blueocean 12 | ``` 13 | 14 | container内/home目录，映射到host目录/root/jenkins，可以将拉取的git项目存放在/media/xww/sda1/myproject/jenkins/*下，在容器的目录就变为/home/* 15 | 16 | 容器运行后，访问http://localhost:8281 17 | 参考网址 18 | https://jenkins.io/doc/tutorials/using-jenkins-to-build-a-java-maven-project/ 19 | https://jenkins.io/blog/2017/04/12/welcome-to-blue-ocean-dashboard/ 20 | 下面是参考上面两篇文章，jenkins与github项目ci一览 21 | jenkins主页面 22 | ![homepage](./jenkins/homepage.png "homepage") 23 | blueocean页面 24 | ![blueocean](./jenkins/blueocean.png "blueocean") 25 | simple-java-maven-app 项目pipeline 26 | ![pipeline](./jenkins/pipeline.png "pipeline") 27 | ![pipelineactive](./jenkins/pipelineactive.png "pipelineactive") 28 | jenkins构建pipeline生成的Jenkinsfile 29 | ![Jenkinsfile](./jenkins/Jenkinsfile.png "Jenkinsfile") -------------------------------------------------------------------------------- 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14 | ``` 15 | $ docker run --name any-artifactory -d \ 16 | -v data_artifactory:/var/opt/jfrog/artifactory \ 17 | -p 8081:8081 docker.bintray.io/jfrog/artifactory-pro 18 | ``` 19 | ###Artifactory配置 20 | 登录到artifactory的web ui界面8081端口。 21 | -------------------------------------------------------------------------------- /devops/maven/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用devops的学习记录 -------------------------------------------------------------------------------- /devops/maven/上传jar到nexus.md: -------------------------------------------------------------------------------- 1 | maven服务为HTTP时，使用如下方式： 2 | 3 | 如你需要上传utils-1.0.jar包，首先需准备新建一个pom.xml文件，内容如下： 4 | ``` 5 | 6 | 4.0.0 7 | org.foo 8 | utils 9 | 1 10 | 11 | ``` 12 | pom.xml和utils-1.0.jar两个文件放到一块就行，接下来使用命令上传到nexus上面： 13 | ``` 14 | curl -v -u admin:admin123 --upload-file pom.xml http://localhost:8081/nexus/repository/maven-releases/org/foo/utils/1.0/utils-1.0.pom 15 | ``` 16 | 上述命令上传pom.xml文件到nexus上，并改名为utils-1.0.pom，注意你的release路径和包放的路径 17 | ``` 18 | curl -v -u admin:admin123 --upload-file utils-1.0.jar http://localhost:8081/nexus/repository/maven-releases/org/foo/utils/1.0/utils-1.0.jar 19 | ``` 20 | 上述命令上传jar到相同路径下面。 21 | 22 | 也可以访问nexus界面点击上传 23 | -------------------------------------------------------------------------------- /devops/prometheus联邦federation.md: -------------------------------------------------------------------------------- 1 | ## 简介 2 | 3 | `Prometheus Federation` 允许一台 `Prometheus Server` 从另一台 `Prometheus Server` 刮取选定的时间序列资料。对于`Prometheus` 的 `Federation` 有不同的使用方式，一般分为`Cross-service federation`与`Hierarchical federation`。 4 | 5 | `Cross-service federation` 6 | 7 | ![01](./prometheus/01.png) 8 | 9 | `Hierarchical federation` 10 | 11 | ![02](./prometheus/02.png) 12 | 13 | ## 配置 14 | 15 | 在一个`prometheus`的配置文件`prometheus.yml`写入以下内容。 16 | 17 | ``` 18 | scrape_configs: 19 | - job_name: 'federate' 20 | scrape_interval: 15s 21 | 22 | honor_labels: true 23 | metrics_path: '/federate' 24 | 25 | params: 26 | 'match[]': 27 | - '{job="prometheus"}' 28 | - '{__name__=~"job:.*"}' 29 | - '{job=~"prometheus.*"}' 30 | - '{job="docker"}' 31 | - '{job="node"}' 32 | static_configs: 33 | - targets: 34 | - 'source-prometheus-1:9090' 35 | - 'source-prometheus-2:9090' 36 | - 'source-prometheus-3:9090' 37 | ``` 38 | 39 | - 当设置 `Federation` 時，將通过 `params` 中的 `macth[]` 参数指定需要刮取的时间序列`job`，`match[]` 必须是一個`job`选择器，如 `up`或者 `{job="api-server"}` 等。 40 | - 设定`honor_labels`是避免监控指标冲突。 41 | - `targets`下指定目标`prometheus`。 42 | -------------------------------------------------------------------------------- /devops/thanos/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/devops/thanos/01.png -------------------------------------------------------------------------------- /devops/thanos/02.png: 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16 | ###构建及运行hive服务 17 | 18 | ``` 19 | docker-compose build 20 | docker-compose up -d namenode hive-metastore-postgresql 21 | docker-compose up -d datanode hive-metastore 22 | docker-compose up -d hive-server 23 | docker-compose up -d presto-coordinator 24 | ``` -------------------------------------------------------------------------------- /docker/docker-pass/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/docker/docker-pass/01.png -------------------------------------------------------------------------------- /docker/harbor/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/docker/harbor/01.png -------------------------------------------------------------------------------- /docker/harbor/02.png: 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基线镜像：构建应用的基础镜像，产品应用组件`dockerfile`文件的`FROM`指定 6 | 7 | 制品镜像：产品应用组件开发测试过程中生成的中间镜像，对比基线镜像和产品镜像，频繁变动 8 | 9 | 产品镜像：产品应用组件某个版本的最终发布镜像 10 | 11 | 12 | 13 | 14 | 15 | -------------------------------------------------------------------------------- /docker/markdown.rar: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/docker/markdown.rar -------------------------------------------------------------------------------- /docker/markdown/images/portus.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/docker/markdown/images/portus.jpg -------------------------------------------------------------------------------- /docker/nexus/internal-docker-registry01.png: -------------------------------------------------------------------------------- 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--storage-local-rootdir="./chartstorage" 14 | ``` 15 | Now visit your `http://localhost:8988` you could reach the chartmusuem. 16 | 17 | Using chartmusuem: 18 | 19 | ``` 20 | # helm repo add chartmuseum http://localhost:8988 21 | # helm update 22 | ``` 23 | Upload chart: 24 | 25 | ``` 26 | # git clone https://github.com/stakater/chart-mysql.git 27 | # cd chart-mysql 28 | # cd mysql 29 | # helm lint 30 | # helm package . 31 | # curl -L --data-binary "@mysql-1.0.1.tgz" http://localhost:8988/api/charts 32 | ``` -------------------------------------------------------------------------------- /helm/images/monocular.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/helm/images/monocular.png -------------------------------------------------------------------------------- /helm/monocular/monocular2.png: 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Service来维持集群成员的稳定关系，用动态存储供给来方便集群扩容，最后用StatefulSet来综合管理整个集群。 17 | 18 | 分析以上的服务类型，Kubernetes中对于存储的使用主要集中在以下几个方面： 19 | 20 | * 服务的基本配置文件读取、密码密钥管理等； 21 | * 服务的存储状态、数据存取等； 22 | * 不同服务或应用程序间共享数据； 23 | 24 | -------------------------------------------------------------------------------- /k8s/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用kubernetes的学习记录 -------------------------------------------------------------------------------- /k8s/autoscale/CustomMetricsServer.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/autoscale/CustomMetricsServer.png -------------------------------------------------------------------------------- /k8s/autoscale/MetricsServer.png: -------------------------------------------------------------------------------- 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/k8s/chaoskube使用.md: -------------------------------------------------------------------------------- 1 | ###k8s测试工具 2 | ```chaoskube```: ```chaoskube```周期性的随机杀死```k8s```集群中的```pod```容器，以达到检测```k8s```集群稳定性的目的。 3 | 4 | ###chaoskube使用 5 | ```github```地址： ```https://github.com/linki/chaoskube.git``` 6 | 7 | 准备文件安装包```chaoskube.tar.gz```通过```ansible```自动化安装。 8 | 安装前提条件：云平台套件```rong```已经部署 9 | 安装步骤： 10 | 1）配置目标机器 11 | 配置文件为```chaoskube/hosts.ini ```。 12 | 13 | 2）运行```ansible```命令执行安装 14 | ``` 15 | tar -zxvf chaoskube.tar.gz 16 | cd chaoskube 17 | ansible-playbook -i hosts.ini chaoskube.yaml 18 | ``` 19 | 安装使用测试工具。 20 | 注意点： 21 | 1、```chaoskube```默认每隔```10```分钟随机杀死一个```pod```容器，可以通过文件```chaoskube/roles/chaoskube/templates/chaoskube_values.yaml.j2```配置项 22 | ``` 23 | ... 24 | # interval between pod terminations 25 | interval: 10m 26 | ... 27 | ``` 28 | 在安装前修改配置。 -------------------------------------------------------------------------------- /k8s/etcdkeeper/01.png: 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/etc/kubernetes/pki/etcd/server.crt -key /etc/kubernetes/pki/etcd/server.key”` 但是不知道官方镜像如何配置使用TLS，而不是我这样开多一个进程临时解决问题 25 | 26 | ![](./etcdkeeper/01.png) 27 | -------------------------------------------------------------------------------- /k8s/flux配置gitops持续集成与部署.md: -------------------------------------------------------------------------------- 1 | ###gitops简介 2 | 通过```GitOps：``` 3 | 4 | 1. 在```git```中描述你的整个系统状态的声明。包括： ```apps, config, dashboards, monitoring``` 和任何其它的内容。 5 | 2. 所有描述的都可以自动化。 使用``` YAMLs``` 实现系统的强制一致性。你不需要运行 ```kubectl```, 所有的改变都通过```git```进行。使用```diff tools```检测观测到的和期望的状态的差别，以及得到通知。 6 | 3. 推送代码而不是容器。所有控制的内容都通过 ```pull requests```。对于开发新手没有学习曲线，他们只需要使用标准的```git PR``` 过程。版本化的```git```允许你从任何的快照恢复系统，对于```pull request```的运维改变是透明的过程，修复产品的问题通过``` pull request``` 来代替对运行系统的改变。 7 | 8 | 注： 9 | 1. 能够将应用更容易地部署到不同的集群之中，以及在多种环境下的测试。 10 | 2. 数据在系统重做的过程中如何处理？恐怕会引起问题。 11 | 3. 切换过程中的事务性，需要单独进行处理，以保证```ACID```。 12 | 13 | ###flux简介 14 | ```Flux```是一个工具，自动保障```git```中的配置与集群的配置状态相匹配。 它在集群中使用 ```operator```触发 ```Kubernetes```中的部署，意味着你不需要独立的 ```CD tool```. 它监视所有的相关的 ```image repositories，```检测新的 ```images```, 触发```deployments``` 并且更新到期望的运行配置。 15 | 16 | 收益就是：你不需要授权```CI``` 存取```cluster```, 所有的改变都是原子和事务性的。```git``` 具有```audit log```，每一次事务要么失败要么成功。你可以完全以代码为中心，而无需担心基础设施的事情。 -------------------------------------------------------------------------------- /k8s/glusterfs运维操作.md: -------------------------------------------------------------------------------- 1 | ### glusterfs术语 2 | 1*集群(Cluster) : 它是相互连接的一组主机，这些主机协同工作共同完成某一个功能，对外界来说就像一台主机一样。 3 | 2*可信的存储池(Trusted Storage Pool)：它是存储服务器所组成的可信网络。 4 | 3*服务器(Server)：实际存储数据的服务器。 5 | 4*卷(Volume)：Brick的逻辑集合。 6 | 5*分卷(SubVolume)：由多个Brick逻辑构成的卷，它是其它卷的子卷。比如在分布复制卷中每一组复制的Brick就构成了一个复制的分卷，而这些分卷又组成了分布卷。 7 | 6*块(Brick)：存储的基本单元，表现为服务器导出的一个目录。 8 | 7*客户端(Client)：挂载Volume的主机。 9 | 10 | ### 常用运维命令 11 | 12 | cli工具gluster可以对```node、volume```操作。 13 | 14 | ###heketi-cli查看 15 | 16 | 在k8s集群中部署的```glusterfs```使用```heketi-cli```查看```volume```信息。 -------------------------------------------------------------------------------- /k8s/goland搭建.md: -------------------------------------------------------------------------------- 1 | 参考网址： https://www.newasp.net/soft/423786.html 2 | 3 | 1、下载并安装```JetBrains GoLand 2018 Linux``` 4 | 5 | 2、 复制 ```JetbrainsCrack.jar``` 到 安装目录 ```/bin```文件夹中 6 | 7 | 3、 使用记事本编辑文件```GoLand.vmoptions```或```GoLand64.vmoptions```，在安装文件```/bin```:中 8 | 9 | 4、将下面的代码复制到文件中 (新的一行中添加):``` -javaagent: {InstallDir} /bin/JetbrainsCrack.jar``` 10 | 11 | 例如：```-javaagent:C:\Program Files\JetBrains\GoLand 2018.1.1\bin\JetbrainsCrack.jar``` 12 | 13 | 5、运行```GoLand 2018 Linux```，注册时输入任意数字激活即可。 14 | 15 | 更改goland的配置,一般需要改一下字体和主题, 16 | 17 | 字体的更改方法: File -> Settings -> Editor -> Font -> Size, 推荐选18或者20 18 | 19 | 主题的更改方法: File -> Settings -> Editor -> Color Scheme -> Scheme, 推荐选Colorful Darcula 20 | 21 | 如果没有喜欢的主题,也可以到plugin里安装,搜索material,install后,重启goland再次选择主题. 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-------------------------------------------------------------------------------- 1 | ### `k8s-stress`压测`k8s`集群节点`cpu` 2 | 3 | 测试镜像为`polinux/stress:latest`，压测的部署`yaml`文件为 4 | 5 | ![k8s-yaml](./k8sstress/k8s-yaml.png) 6 | 7 | 在`k8s`环境部署后测试 8 | 9 | ![stresstest](./k8sstress/stresstest.png) 10 | 11 | 另开一个终端，在`pod`内部用`top`命令查看数据 12 | 13 | ![podtop](./k8sstress/podtop.png) 14 | 15 | 主要观测以下数据 16 | 17 | ![podtoprs](./k8sstress/podtoprs.png) 18 | 19 | 使用`kubectl top pod podnamexxxx`命令查看`pod`的`cpu`使用 20 | 21 | ![kubectltop](./k8sstress/kubectltop.png) 22 | 23 | 在`pod`的所在节点上用`top`命令查看结果 24 | 25 | ![hosttop](./k8sstress/hosttop.png) 26 | 27 | 主要查看以下数据 28 | 29 | ![hosttoprs](./k8sstress/hosttoprs.png) 30 | 31 | 32 | 33 | 注：`cpu`使用率主要看`idle`的数值是多少，`100-idle`的就是`cpu`的使用率，宿主机上主要看`cpu`使用率是负载，一个`cpu`的负载满是`1`，使用`60`个`cpu`满的数值是至少`60`左右，可以超过`60`。 34 | -------------------------------------------------------------------------------- /k8s/k8s-testsuite使用.md: -------------------------------------------------------------------------------- 1 | ###k8s测试工具 2 | * k8s-testsuite: 由两个Helm图表组合而成，适用于网络带宽测试与单个Kubernetes集群的负载测试。负载测试模拟了带有loadbots的简单网页服务器，这些服务器可在Vegeta基础上以Kubernetes微服务的形式运行。网络测试则是在内部连续对iperf3与netperf-2.7.0运行三次。这两项测试都会生成涵盖全部结果与指标的综合日志信息。 3 | 4 | ###k8s-testsuite使用 5 | github地址： https://github.com/mrahbar/k8s-testsuite 6 | 7 | 准备文件安装包```k8s-testsuite.tar.gz```通过```ansible```自动化安装。 8 | 安装前提条件：云平台套件```rong```已经部署 9 | 安装步骤： 10 | 1）配置目标机器 11 | 配置文件为```k8s-testsuite/hosts.ini ```。 12 | 13 | 2）运行```ansible```命令执行安装 14 | ``` 15 | tar -zxvf k8s-testsuite.tar.gz 16 | cd k8s-testsuite 17 | ansible-playbook -i hosts.ini k8s-testsuite.yaml 18 | ``` 19 | 安装使用测试工具。 20 | 注意点： 21 | 1、load-test采用分别扩展pod实例数进行测试，两个pod（loadbots，webserver）分别由1扩展到100,而pod的默认cpurequest为100m，以此需要保证kubernetes集群环境拥有闲置的20core以上cpu资源运行测试，同样内存也应保证充足，建议32以上。 22 | 23 | 2、网络测试采用iperf和netperf两个测试工具进行测试，对于tcp，mtu配置从96以64步长直到1460,测试时间有点长。此外测试场景包括pod到另一个node上pod的网络性能，因此，kubernetes测试需要至少两个节点。 24 | 25 | 3、测试结果通过安装运行helm命令后显示的帮助信息操作查看。 26 | -------------------------------------------------------------------------------- /k8s/k8sstress/hosttop.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/k8sstress/hosttop.png -------------------------------------------------------------------------------- /k8s/k8sstress/hosttoprs.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/k8sstress/hosttoprs.png -------------------------------------------------------------------------------- /k8s/k8sstress/k8s-yaml.png: -------------------------------------------------------------------------------- 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kubernetes除了```kube-controller-manager```分配```node```给```pod```，```kube-scheduler```进行```pod```调度并且保证```pod```高可用。社区还存在一些优化```kubernetes```集群的调度插件。 2 | ###自动弹性伸缩 3 | 集群```kubernetes```的```hpa```，以及可以基于自定义监控指标的弹性伸缩插件（https://github.com/stefanprodan/k8s-prom-hpa） 4 | 5 | ###社区组件 6 | 名称|作用|参考网址 7 | ---|----|----- 8 | rescheduler（二次调度）|配置保证关键组件高可用，在资源不足情况下，通过杀死非关键组件|https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/，https://github.com/apprenda/kismatic/blob/master/docs/add_ons.md#rescheduler 9 | descheduler|针对整个kubernetes集群，调整各节点的pod，优化整个集群的资源利用率|https://github.com/kubernetes-incubator/descheduler 10 | addon-resizer| 针对特定组件，根据集群规模大小，调整特定组件的实例数量|https://github.com/kubernetes/autoscaler/tree/master/addon-resizer 11 | 12 | 还有一些调度组件 13 | 组件```cluster-autoscaler```：伸缩```kubernetes```集群的规模，只能在云上的```kubernetes```使用。 14 | 组件```vertical-pod-autoscaler```: 伸缩```pod```的资源```requests```量，使每个```pod```实例都能运行成功。 15 | 上述两个组件在```github```项目```autoscaler```中可以找到（https://github.com/kubernetes/autoscaler） 16 | 17 | 18 | 还有一个组件```k8s-spot-rescheduler```，把节点分为固定组和按需启动组，该组件会不断尝试降低按需启动组节点的负载，在资源允许情况下把```pod```驱逐到固定组节点上。 19 | 参考网址：https://github.com/pusher/k8s-spot-rescheduler 20 | 21 | -------------------------------------------------------------------------------- /k8s/katafygio/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/katafygio/01.png -------------------------------------------------------------------------------- /k8s/katafygio/02.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/katafygio/02.png -------------------------------------------------------------------------------- /k8s/katafygio/03.png: 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./kismatic dashboard 17 | ``` 18 | 会在文件夹generated中产生dashboard-admin-kubeconfig配置文件，该文件用于登录k8s的dashboard界面认证文件。 19 | 此外，它还会在本机调用浏览器访问dashboard（只能在本机上访问）。 20 | 按Ctrl+c结束命令。 21 | 2、更改运行中dashboard的service 22 | 执行命令 23 | ``` 24 | ./kubectl --kubeconfig generated/kubeconfig edit svc kubernetes-dashboard -n kube-system 25 | ``` 26 | 把type: ClusterIP 改为 type: NodePort。 27 | 3、外部访问dashboard 28 | 使用命令 29 | ``` 30 | ./kubectl --kubeconfig generated/kubeconfig get svc kubernetes-dashboard -n kube-system 31 | ``` 32 | 得到kubernetes-dashboard 的 NodePort端口 33 | 访问https://$(masterip):$(NodePort),认证配置文件使用第一步生成的dashboard-admin-kubeconfig。 -------------------------------------------------------------------------------- /k8s/kismatic使用glusterfs遇到的问题.md: -------------------------------------------------------------------------------- 1 | 1、kismatic已经不在支持nfs的安装，需要用户自己安装nfs服务，然后把ip，path信息填入kismatci-cluster.yaml文件中。 2 | 2、kismatic中配置nfs和glusterfs是个两中存储的使用，它们之间没有交互使用。 3 | 3、在kismatic安装glusterfs后，需要手动创建和启动glusterfs volume。注意在操作过程中注意防火墙的配置 4 | ubuntu16.04下关闭防火墙的方法为 5 | ``` 6 | systemctl stop ufw 7 | systemctl disable ufw 8 | ``` 9 | 4、在kismatic安装glusterfs后，gluster-healthz pod会报错，查看日志发现除了111端口外，其他端口都未处于监听的状态。解决方法： 在创建和启动glusterfs volume后，使用命令 10 | ``` 11 | gluster volume info xxx 12 | ``` 13 | 查看volume信息，发现volume的nfs.disable处于on状态，使用命令 14 | ``` 15 | gluster volume set xxx nfs.disable off 16 | ``` 17 | 即使开启其他相关端口 18 | 5、创建pv pvc pod使用glusterfs的volume，需要在k8s的节点上安装glusterfs client，否则会出现glusterfs类型无法找到的错误。ubuntu安装glusterfs的命令为 19 | ``` 20 | apt-get update 21 | apt-get install -y glusterfs-client 22 | ``` -------------------------------------------------------------------------------- /k8s/kong-dashboard/kong-dashboard-auth.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kong-dashboard/kong-dashboard-auth.png 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/etc/coredns/hosts { 13 | fallthrough 14 | } 15 | ... 16 | hosts: | 17 | 192.192.189.237 xww.example.com 18 | ``` 19 | 20 | 21 | 22 | ### 修改coredns的deployment 23 | 24 | 修改`coredns`的`deployment`实现挂载`configmap`中的`hosts`文件到`pod`中 25 | 26 | ``` 27 | volumes: 28 | - name: config-volume 29 | configMap: 30 | name: coredns 31 | items: 32 | - key: Corefile 33 | path: Corefile 34 | - key: hosts #这是新增的 35 | path: hosts #这是新增的 36 | 37 | ``` 38 | 39 | -------------------------------------------------------------------------------- /k8s/kubernetes调度策略.md: -------------------------------------------------------------------------------- 1 | ###pod优先级(priority)和抢断(preemption) 2 | kubernetes 优先级和抢断在1.8及以上的版本支持 3 | 使用kubernete优先级和抢断的步骤如下： 4 | 1）启动pod优先级和抢断特性 5 | 2）创建一个或多个PriorityClasses 6 | 3）在pod或deployment中配置使用PriorityClasses 7 | 8 | -------------------------------------------------------------------------------- /k8s/kubesphere/kubesphere敏捷开发功能.md: -------------------------------------------------------------------------------- 1 | # STI源码到镜像构建 2 | 3 | 1、用户直接输入源代码然后打包成可运行程序到 Docker 镜像的工具。 4 | 5 | 2、支持以创建服务的形式，一键将源代码生成镜像推送到仓库，并创建其部署 (Deployment) 和服务 (Service) 最终自动发布到 Kubernetes 中。 6 | 7 | 8 | 9 | # Jenkinsfile构建 10 | 11 | 通过源码仓库中的 Jenkinsfile 来创建流水线。 12 | 13 | 14 | 15 | # 图形化构建流水线 (Jenkinsfile out of SCM) 16 | 17 | 通过图形化方式构建流水线 -------------------------------------------------------------------------------- /k8s/kubespray/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用kubernetes的学习记录 -------------------------------------------------------------------------------- /k8s/kubespray/Rong启用fluentd和kibana.md: -------------------------------------------------------------------------------- 1 | ### 1) 修改配置项 2 | 3 | 在部署节点上，修改`Rong`目录下的`rong-vars.yml`文件的配置项 4 | 5 | ``` 6 | fluentd_enable: true 7 | fluentd_elasticsearch_host: "" #自己准备的es集群IP，例如 "192.192.190.149" 8 | fluentd_elasticsearch_port: "9200" 9 | kibana_enable: true 10 | kibana_elasticsearch_host: "" #自己准备的es集群IP，例如 "192.192.190.149" 11 | kibana_elasticsearch_port: "9200" 12 | ``` 13 | 14 | 15 | 16 | ### 2）安装 17 | 18 | 在部署节点上，在`Rong`目录下 19 | 20 | 拷贝`rong-vars.yml`到`rong/4_addons/rong-vars.yml`。 21 | 22 | ``` 23 | # cp -f rong-vars.yml rong/4_addons/rong-vars.yml 24 | ``` 25 | 26 | 运行以下命令安装`fluentd`。 27 | 28 | ``` 29 | # ansible-playbook -i hosts.ini rong/4_addons/addons.yml --extra-vars \ @rong/4_addons/rong-vars.yml --tags efk_fluentd 30 | ``` 31 | 32 | 运行以下命令安装`kibana`。 33 | 34 | ``` 35 | # ansible-playbook -i hosts.ini rong/4_addons/addons.yml --extra-vars \ @rong/4_addons/rong-vars.yml --tags efk_kibana 36 | ``` 37 | 38 | -------------------------------------------------------------------------------- /k8s/kubespray/Rong版本升级集群_自动.md: -------------------------------------------------------------------------------- 1 | 准备文件：最新版的Rong发布包 2 | ###升级云平台套件k8s集群版本 3 | 1、解压最新的```Rong```平台部署包到待升级的集群部署节点上 4 | 5 | 2、修改```Rong```部署包中的集群平台配置文件```inventory/rong/hosts.ini```，把原来集群的```hosts.ini```文件拷贝到```inventory/rong/hosts.ini```。 6 | 7 | 3、执行升级脚本命令 8 | ``` 9 | ansible-playbook -i inventory/rong/hosts.ini upgrade-cluster.yml 10 | ``` 11 | -------------------------------------------------------------------------------- /k8s/kubespray/cephmonitor/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kubespray/cephmonitor/01.png -------------------------------------------------------------------------------- /k8s/kubespray/cephmonitor/02.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kubespray/cephmonitor/02.png -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kubespray/ipvs/02.png -------------------------------------------------------------------------------- /k8s/kubespray/kubespray-2.10.0修改点.md: -------------------------------------------------------------------------------- 1 | ###修改点 2 | 1、在```roles/kubernetes-apps/```文件夹下增加了```nfs```和```velero```两个文件夹，文件夹下保存了```nfs```和```velero```的```ansible role```。 3 | 4 | 2、修改```cluster.yml```文件。 5 | 在文件```cluster.yml```文件最后增加了以下代码。 6 | ``` 7 | - hosts: kube-deploy 8 | roles: 9 | - { role: kubernetes-apps/nfs/nfs-server, tags: nfs } 10 | 11 | - hosts: k8s-cluster 12 | roles: 13 | - { role: kubernetes-apps/nfs/nfs-common, tags: nfs } 14 | 15 | - hosts: kube-master[0] 16 | roles: 17 | - { role: kubernetes-apps/nfs/loadnfsimages, tags: nfs } 18 | - { role: kubernetes-apps/nfs/nfs-client, tags: nfs } 19 | - { role: kubernetes-apps/velero/loadveleroimages, tags: velero } 20 | - { role: kubernetes-apps/velero/velero, tags: velero } 21 | ``` -------------------------------------------------------------------------------- /k8s/kubespray/kubespray增加和删除worker节点.md: -------------------------------------------------------------------------------- 1 | ###Rong扩容worker节点 2 | 1、修改```host.ini```文件 3 | 扩容worker节点时，修改安装部署时的```host.ini```文件（一般位于```inventory/rong/hosts.ini```），增加新增的机器信息。 4 | 例如，原```host.ini```文件内容为 5 | 6 | ![01](./scale/01.png "01") 7 | 8 | 新增节点```ubuntukubespray04```,节点IP为```912.168.124.64```。修改后文件如下 9 | 10 | ![02](./scale/02.png "02") 11 | 注： 扩展节点请严格按照上述例子修改```host.ini```文件，不要在其他```group```（```kube-deloy,kube-master,etcd```等）添加节点信息，否则会导致脚本执行失败。 12 | 13 | 2、检查并执行脚本```scale.yml``` 14 | 扩展节点脚本文件```scale.yml```位于安装脚本的一级目录下。 15 | 检查```scale.yml```文件以下几点 16 | 1）、检查以下段的```hosts```配置是否带有```！kube-deploy```。 17 | ![03](./scale/03.png "03") 18 | 2）、检查是否注释了带```container-engine```那一行。 19 | ![04](./scale/04.png "04") 20 | 然后执行下面的命令： 21 | ``` 22 | ansible-playbook -i inventory/rong/hosts.ini scale.yml 23 | ``` 24 | 脚本执行成功后，便可新增集群```worker```节点。 25 | 26 | ###Rong删除worker节点 27 | 检查并执行脚本```remove-node.yml``` 28 | 扩展节点脚本文件```remove-node.yml```位于安装脚本的一级目录下。 29 | 例如，删除节点```nodename，nodename2``` 30 | 31 | 然后执行下面的命令： 32 | ``` 33 | ansible-playbook -i inventory/rong/hosts.ini remove-node.yml --extra-vars "node=nodename,nodename2" 34 | ``` 35 | 在弹出的提示信息填入```yes``` 36 | ![07](./scale/07.png "07") 37 | 则继续执行。 38 | 脚本执行成功后，便可删除指定的集群```worker```节点。 -------------------------------------------------------------------------------- /k8s/kubespray/kubespray模块kubeadm使用.md: -------------------------------------------------------------------------------- 1 | ###kubespray使用kubeadm模块 2 | 3 | 部署框架```kubespray```在```2.8```版本配置默认以```kubeadm```作为部署```kubernetes```方法（之前版本使用```hyperkube```），```kubeadm```部署时默认从Internet下载镜像，需作以下配置从私有镜像仓库下载镜像。 4 | 5 | 修改配置文件```k8s-cluster.yaml```,文件位于```Rong/kubespray/inventory/rong/group_vars/k8s-cluster```文件夹下。修改配置项 6 | ``` 7 | ... 8 | # kubernetes image repo define 9 | kube_image_repo: "portus.teligen.com:5000/kubesprayns/gcr.io/google-containers" 10 | ... 11 | ``` 12 | 部署时，```kubeadm```则会从私有仓库```portus.teligen.com:5000```的```kubesprayns```名字空间下载镜像。 -------------------------------------------------------------------------------- /k8s/kubespray/kubespray的cilium网络插件使用.md: -------------------------------------------------------------------------------- 1 | ###kubespray启用cilium网络插件 2 | 修改配置文件```inventory/rong/group_vars/k8s-cluster/k8s-cluster.yml```的配置```kube_network_plugin: cilium```。 3 | 4 | ###kubespray测试cilium的clustermesh 5 | 创建第二个云平台```Rong```，网络插件为```cilium```，并且配置与第一个```Rong```不同的```pod cidr```。 6 | 配置```pod cidr```为配置文件```inventory/rong/group_vars/k8s-cluster/k8s-cluster.yml```的配置项```kube_pods_subnet: 10.233.64.0/18```。 -------------------------------------------------------------------------------- /k8s/kubespray/kubespray的download_run_once安装.md: -------------------------------------------------------------------------------- 1 | 参考网址： https://github.com/kubernetes-incubator/kubespray/blob/master/docs/downloads.md 2 | 3 | ###kubespray download_run_once安装 4 | 在kubespray的官方文档中有介绍，kubespray可以通过只在安装节点上下载所需的docker镜像一次，然后会在```ansible```脚本中通过```docker save```，```scp```，```docker load```命令把所需的```docker```镜像发送并加载到目标主机上。 5 | 采用这种方式，目标```kubernetes```集群机器不需要同```docker```私有仓库交互，kubespray升级docker镜像则无需在```docker```私有仓库为```kubernetes```集群机器管理多版本的```docker```镜像，只需kubespray安装节点上能获取多版本的```docker```镜像。 6 | 启动这种安装方式，只需配置两个变量```download_run_once```和```download_localhost```。 7 | 创建文件```var.yaml```,内容如下 8 | ``` 9 | [root@localhost kubespray_centos_offline]# cat var.yaml 10 | download_run_once: true 11 | download_localhost: true 12 | ``` 13 | 执行以下命令```kubespray```安装```kubernetes```。 14 | ``` 15 | ansible-playbook -i inventory/test/hosts.ini cluster.yml --extra-vars "@var.yaml" -vvv 16 | ``` 17 | 18 | ###kubespray download_run_once安装原理 19 | 20 | kubespray download_run_once安装通过在安装节点使用```docker pull```命令拉取所需的镜像，并存放在```/tmp/release/containers/*```目录下。然后执行```ansible```脚本```roles/download/tasks/sync_container.yml```把镜像推送并加载到目标```kubernetes```集群。 21 | 镜像传送到目标```kubernetes```集群的文件夹路径也是```/tmp/release/containers/*```目录下。 -------------------------------------------------------------------------------- /k8s/kubespray/kubespray节点处于notReady状态恢复.md: -------------------------------------------------------------------------------- 1 | ###问题描述 2 | 3 | 在修改节点时间后，节点与```apiserver```的认证应为时间不一致导致证书有误，认证失败。因此，```apiserver```会判断节点的状态处于```notReady```。并且会伴随着故障节点```nginx-proxy pod```删除掉。此时会一直报错，```kubelet```无法与```127.0.0.1：6443```连接。（容器```nginx-proxy pod```监听```127.0.0.1：6443```端口，后端配置的是```apiserver```的端口） 4 | 5 | ###解决办法 6 | 7 | 首先，把节点之间的时间进行同步。 8 | 9 | 其次，故障节点```nginx-proxy pod```已被删除，因此无法通过```127.0.0.1：6443```端口访问```apiserver```。需要修改文件```/etc/kubernetes/kubelet.conf```把配置```server```设置为```apiserver```的实际端口。重启```kubelet```。 10 | 11 | 最后，```kubelet```重启后，```nginx-proxy pod```会自动启动，在次修改文件```/etc/kubernetes/kubelet.conf```把配置```server```设置为```127.0.0.1：6443```端口。再次重启```kubelet```，至此，问题解决。配置恢复到故障前环境配置一致。 -------------------------------------------------------------------------------- /k8s/kubespray/kubevirt/architecture.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kubespray/kubevirt/architecture.png -------------------------------------------------------------------------------- /k8s/kubespray/nginxingress/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/kubespray/nginxingress/01.png 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--vm-driver kvm2:配置VM的驱动为kvm 7 | -p minikubeingresstest：指定minikube的虚拟机名称，不同名称可以同时运行（但是kvm2驱动不支持） 8 | --network-plugin cni：网络模型为cni 9 | 10 | ###安装calico 11 | https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/kubeadm/ 12 | 下载calico镜像 13 | 下载calico的yaml文件（https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/kubeadm/1.7/calico.yaml） 14 | 修改calico.yaml文件使pod网络，service ip网络与实际的kubernetes环境保持一致 15 | ``` 16 | kubectl create -f calico.yaml 17 | ``` 18 | 19 | ###安装custom nginx-ingress 20 | 21 | nginx ingress controller的ingress规则配置体现在nginx-controller pod中的/etc/nginx/nginx.conf 22 | 文件中，每次kubernetes创建新的ingress时，便会刷新/etc/nginx/nginx.conf配置文件。 23 | 对每一个ingress规则的nginx自定义配置，是在ingress的annotations中配置的 24 | 要配置所有的nginx自定义配置，是在 ingress controller pod的命令行指定的configmap文件中配置，我们可以自行修改该configmap文件。 -------------------------------------------------------------------------------- /k8s/netdata/restclient-tool-view.png: 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为了保持```Prometheus```的简单性，```Prometheus```并没有尝试在自身中解决以上问题，而是通过定义两个标准接口```(remote_write/remote_read)```，让用户可以基于这两个接口对接将数据保存到任意第三方的存储服务中，这种方式在```Promthues```中称为```Remote Storage```。 11 | 12 | 方案： 13 | 1）使用Influxdb作为```Remote Storage（https://yunlzheng.gitbook.io/prometheus-book/part-ii-prometheus-jin-jie/readmd/prometheus-remote-storage）```。 14 | 2）使用clickhouse作为```Remote Storage（https://segmentfault.com/a/1190000015710814）```。 -------------------------------------------------------------------------------- /k8s/rancher/00.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/rancher/00.png -------------------------------------------------------------------------------- /k8s/rancher/01.png: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | ###minio安装 2 | 目前```velero```只能使用非带安全证书的```minio```服务器，后期可以考虑```stash```和```velero```使用同一个```minio```存储后端。 3 | 1、带有```tls```安全证书的```minio```服务器安装 -------------------------------------------------------------------------------- /k8s/stash开启监控.md: -------------------------------------------------------------------------------- 1 | ###stash开启监控 2 | 1、使用```helm```部署```stash```时，配置安装包中文件```./roles/stash/templates/stash_values.yaml.j2```以下变量开启监控 3 | ![03](./stash/monitoring03.png "03") 4 | 5 | 2、如果云平台套件已经配置默认的监控模块，则需执行以下命令，修改```prometheus```的配置导入```stash-operator```的证书以监控```stash```。 6 | ``` 7 | kubectl edit prometheus res-prometheus -n monitoring 8 | ``` 9 | ![04](./stash/monitoring04.png "04") 10 | 11 | 如果云平台套件还未部署监控模块，需修改云平台套件安装包监控模块配置文件```./3rdParty/roles/monitor/templates/values.j2```加入证书的配置以监控```stash```。 12 | ![05](./stash/monitoring05.png "05") 13 | 14 | 至此，可以在```prometheus```的```web```界面查看到对```stash```目标的监控 15 | ![01](./stash/monitoring01.png "01") 16 | 17 | 3、在至少执行一个备份卷和恢复卷，```prometheus```才能获得数据，```grafana```才能得到数据的显示。```grafana```的```dashboard```获取网址为```https://grafana.com/dashboards/4198```。 18 | ![02](./stash/monitoring02.png "02") 19 | 20 | 界面上主要能监控每次备份和恢复操作的失败和成功次数、备份和恢复操作耗时。对于具有大量备份和恢复卷操作的集群通过监控界面查看比通过命令行查找查看要方便的多。 -------------------------------------------------------------------------------- /k8s/tools/kube-ops-view.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/k8s/tools/kube-ops-view.png -------------------------------------------------------------------------------- /k8s/treafix配置与解析.md: -------------------------------------------------------------------------------- 1 | 参考网址： ```https://docs.traefik.io/basics/#configuration``` 2 | 3 | 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--no-index --find-links=`pwd` ruamel.yaml 4 | 5 | `pwd` 6 | 129: /root/pip 7 | 8 | cd contrib/dind 9 | ansible-playbook -i hosts dind-cluster.yaml 10 | cd ../../ 11 | INVENTORY_DIR=inventory/local-dind 12 | mkdir -p ${INVENTORY_DIR} 13 | rm -f ${INVENTORY_DIR}/hosts.yml 14 | su root 15 | ssh-keygen 16 | sudo ls /root/.ssh/ 17 | sudo cat /root/.ssh/id_rsa.pub 18 | sudo CONFIG_FILE=${INVENTORY_DIR}/hosts.yml /tmp/kubespray.dind.inventory_builder.sh 19 | ansible-playbook --become -e ansible_ssh_user=ubuntu -i inventory/local-dind/hosts.yml cluster.yml --extra-vars @contrib/dind/kubespray-dind.yaml 20 | sudo docker exec kube-node1 docker images 21 | sudo docker exec kube-node1 kubectl get nodes 22 | 23 | -------------------------------------------------------------------------------- /k8s/原生ubuntu140404安装Rong.md: -------------------------------------------------------------------------------- 1 | 云平台```Rong```默认安装在自定义的```ubuntu18.04/ubuntu16.04.6 iso```上，但是在适配华为云平台时，出现了安装华为云```vmtools```后丢失根分区现象。为解决该问题，```Rong```适配原生```ubuntu16.04.4```作了以下修改。 2 | 3 | 后发现是华为云的```vmtools```不支持```ubuntu16.04.6```的```lvm```分区，使用基本分区可以避免```vmtools```问题。 4 | 5 | ###修改点 6 | 1）配置````ubuntu16.04.4 iso```作为```apt```源安装```python，socat，python-apt```软件包。 7 | 2）注入特定的```ssh key```。 8 | 3）修改源码，禁止重装```python-apt```。 -------------------------------------------------------------------------------- /middleware/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用kubernetes的学习记录 -------------------------------------------------------------------------------- /middleware/kafka/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/middleware/kafka/01.png -------------------------------------------------------------------------------- /middleware/kafka/02.png: 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/middleware/milvus/02.png -------------------------------------------------------------------------------- /middleware/milvus云化prometheus监控.md: -------------------------------------------------------------------------------- 1 | `milvus`安装完成后默认把`metrics`数据填入`pushgateway 9091`端口上，因为首先需要部署`pushgateway`，然后配置`prometheus`收集`pushgateway`上的数据，最后在`grafana`的`dashboard`上添加`milvus-dashboard`用于在`grafana`页面上展示。 2 | 3 | ### 部署`pushgateway` 4 | 5 | 准备文件`pushgateway`和`pushgateway.service`执行以下命令部署`pushgateway`。 6 | 7 | ``` 8 | cp pushgateway /usr/loca/bin && cp pushgateway.service /etc/systemd/system 9 | systemctl daemon-reload && systemctl enable pushgateway && systemctl start pushgateway 10 | ``` 11 | 12 | ### 配置`prometheus`收集`pushgateway`上的数据 13 | 14 | 在`prometheus`配置文件`/usr/local/prometheus/prometheus.yaml`的最后加入以下内容 15 | 16 | ``` 17 | # Allows ephemeral and batch jobs to expose their metrics to Prometheus 18 | - job_name: 'pushgateway' 19 | honor_labels: true 20 | static_configs: 21 | - targets: ['localhost:9091'] 22 | ``` 23 | 24 | 注意格式缩进两个空格 25 | 26 | ### 在`grafana`的`dashboard`上添加`milvus-dashboard` 27 | 28 | 准备文件`milvus-dashboard.json`，登录`grafana`的`3000`端口。 29 | 30 | -------------------------------------------------------------------------------- /middleware/redis运行在kubernetes上.md: -------------------------------------------------------------------------------- 1 | ### `redis-cluster`运行在`k8s` 2 | 3 | 4 | 5 | #### 部署 6 | 7 | 集群分片模式 8 | 9 | 采用`https://github.com/bitnami/charts/tree/master/bitnami/redis-cluster`的`helm3 chart`包进行部署。 10 | 11 | ``` 12 | helm install redis-cluster ./redis-cluster 13 | ``` 14 | 15 | 集群高可用模式 16 | 17 | 可以配置哨兵和非哨兵（配置哨兵时，需要先从哨兵进程端口获取到当前的`redis master`节点，然后访问该节点的`6379`端口进行写操作，适用`k8s`集群内部，否则需要配置外部节点访问所有的`redis pod`。非哨兵模式，`redis master`服务端口用于读写，`redis slave`服务端用于只读操作） 18 | 19 | 采用`https://github.com/bitnami/charts/tree/master/bitnami/redis`的`helm3 chart`包进行部署。 20 | 21 | ``` 22 | helm install redis ./redis 23 | ``` 24 | 25 | ### 压测 26 | 27 | `redis`做压测可以用自带的`redis-benchmark`工具，使用简单 28 | 29 | ``` 30 | 语法 31 | 32 | redis 性能测试的基本命令如下： 33 | 34 | redis-benchmark [option] [option value] 35 | 36 | 注意：该命令是在 redis 的目录下执行的，而不是 redis 客户端的内部指令。 37 | 实例 38 | 39 | 以下实例同时执行 10000 个请求来检测性能： 40 | 41 | $ redis-benchmark -c 50 -n 10000 -q 42 | ``` 43 | 44 | 以下实例我们使用了多个参数来测试` redis` 性能： 45 | 46 | ``` 47 | $ redis-benchmark -h 127.0.0.1 -p 6379 -t set,lpush -c 50 -n 10000 -q 48 | 49 | SET: 146198.83 requests per second 50 | LPUSH: 145560.41 requests per second 51 | ``` -------------------------------------------------------------------------------- /openshift/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用openshift的学习记录 -------------------------------------------------------------------------------- /openshift/openshift-buildconfig.md: -------------------------------------------------------------------------------- 1 | ###openshift buildconfig 2 | 3 | buildconfig由build strategy和一个或多个sources组成 4 | 5 | ###build strategy 6 | build strategy有以下类型： 7 | Source-to-Image（S2I） 8 | Pipeline 9 | Docker 10 | Custom 11 | 12 | 有6中类型的sources作为build input 13 | Git 14 | Dockerfile 15 | Binary 16 | Image 17 | Input secrets 18 | External artifacts -------------------------------------------------------------------------------- /openshift/部署helm到openshift.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/openshift/部署helm到openshift.md -------------------------------------------------------------------------------- /serverless/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用serviceless的学习记录 -------------------------------------------------------------------------------- /serverless/kubeless使用.md: -------------------------------------------------------------------------------- 1 | ###kubeless 安装 2 | 安装kubeless分为三个步骤 3 | 1、安装kubeless cli工具 4 | ``` 5 | wget https://github.com/kubeless/kubeless/releases/download/v1.0.0-alpha.1/kubeless_linux-amd64.zip 6 | ``` 7 | 2、创建kubeless 名字空间 8 | ``` 9 | kubectl create namespace kubeless 10 | ``` 11 | 3、在kubenetes集群中部署kubeless 12 | ``` 13 | export RELEASE=v1.0.0-alpha.1 14 | kubectl create -f https://github.com/kubeless/kubeless/releases/download/$RELEASE/kubeless-$RELEASE.yaml 15 | ``` 16 | ###kubeless serverless插件工具安装 17 | kubeless serverless插件名为serverless，通过以下命令安装 18 | ``` 19 | npm install serverless -g 20 | ``` 21 | ###kubeless ui安装 22 | 在kubernetes集群安装kubeless的ui 23 | ``` 24 | kubectl create -f https://raw.githubusercontent.com/kubeless/kubeless-ui/master/k8s.yaml 25 | ``` 26 | 27 | ###kubeless使用 28 | 使用kubeless cli工具可以创建三种类型的function 29 | * http triggered (function will expose an HTTP endpoint) 30 | * pubsub triggered (function will consume event on a specific topic; a running kafka cluster on your k8s is required) 31 | * schedule triggered (function will be called on a cron schedule) -------------------------------------------------------------------------------- /serverless/serverless.md: -------------------------------------------------------------------------------- 1 | ###什么是serverless 2 | 跟很多其它软件类似，对Serverless还没有清晰定义，但是肯定有两个互相有重叠的定义： 3 | * BaaS: Serverless最初是用于描述依赖第三方服务（‘云端’）实现对逻辑和状态进行管理的应用。典型的包括“厚客户端”（例如单页Web应用、移动应用），他们一般都使用基于云端的数据库（例如Parse、Firebase），认证服务（Auth0、AWS congnito）等。这类服务以前被称为”（Mobile） backend as a Service ”，我将在本文中称他们为“BaaS”。 4 | * FaaS: Serverless也可以指这样的应用，一部分服务逻辑由应用实现，但是跟传统架构不同在于，他们运行于无状态的容器中，可以由事件触发，短暂的，完全被第三方管理。（感谢ThoughtWorks在最近Tech Radar中做出的定义）。这种思路是‘Functions as a Service / FaaS’，AWS Lambda是目前最佳的FaaS实现之一，本文后续介绍中将使用FaaS作为这种架构的缩写。 5 | 6 | 但是我更愿意讨论的是本领域第二种方式，相比来说技术架构更新，引领了Serverless的很多创新。 7 | ####与PaaS比较 8 | ``` 9 | 如果你的PaaS可以将以前半秒启动的应用在20ms内启动，就叫它Serverless。——Adrian Cockcroft 10 | ``` 11 | 换句话说，许多PaaS应用不会每次请求来了启动，请求结束则关闭。而FaaS平台是这样的。 12 | 13 | ![serverless01](./serverless/serverless01.png "serverless01") 14 | serverless的粒度比微服务的粒度更细。 15 | 16 | ###serverless开源工具 17 | 18 | IBM的OpenWhisk，现已为apache的孵化项目。 19 | 20 | 基于kubernetes的serverless开源工具 21 | kubeless 22 | fission -------------------------------------------------------------------------------- /serverless/serverless/serverless01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serverless/serverless/serverless01.png -------------------------------------------------------------------------------- /serviceMesh/README.md: -------------------------------------------------------------------------------- 1 | ##一些应用servicemesh的学习记录 -------------------------------------------------------------------------------- /serviceMesh/apiusage/apigroups.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/apiusage/apigroups.png -------------------------------------------------------------------------------- /serviceMesh/cilium/cilium-istio-cur.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/cilium/cilium-istio-cur.png -------------------------------------------------------------------------------- /serviceMesh/cilium/cilium-istio-fur-2.png: -------------------------------------------------------------------------------- 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REGISTRY_URL=http://registry-srv:5000/v2 -e REGISTRY_NAME=localhost:5000 hyper/docker-registry-web 10 | ``` 11 | 功能有限，只能查看 12 | 13 | ``` 14 | docker run -v $(pwd)/registry-web.yml:/conf/config.yml:ro \ 15 | -v $(pwd)/devdockerCA.crt:/conf/auth.key -v $(pwd)/db:/data \ 16 | -it -p 8080:8080 --link dockerregistry_registry_1 --name registry-web hyper/docker-registry-web 17 | ``` 18 | 功能有限，只能查看 19 | ``` 20 | sudo docker run \ 21 | -d \ 22 | -e ENV_DOCKER_REGISTRY_HOST=192.192.189.1 \ 23 | -e ENV_DOCKER_REGISTRY_PORT=5000 \ 24 | -p 8080:80 \ 25 | konradkleine/docker-registry-frontend:v2 26 | ``` 27 | ``` 28 | sudo docker run \ 29 | -d \ 30 | -e ENV_DOCKER_REGISTRY_HOST=192.192.189.105 \ 31 | -e ENV_DOCKER_REGISTRY_PORT=5000 \ 32 | -e ENV_DOCKER_REGISTRY_USE_SSL=1 \ 33 | -p 8080:80 \ 34 | konradkleine/docker-registry-frontend:v2 35 | ``` -------------------------------------------------------------------------------- /serviceMesh/istio helm部署.md: -------------------------------------------------------------------------------- 1 | ###kismatic部署kubernetes 2 | kismatic在部署kubernetes时，把```package_manager```为```helm```不启用。配置如下 3 | ``` 4 | package_manager: 5 | disable: true 6 | 7 | # Options: 'helm'. 8 | provider: helm 9 | options: 10 | helm: 11 | namespace: kube-system 12 | ``` 13 | 部署kubernetes完成后，部署helm 14 | ``` 15 | kubectl create -f install/kubernetes/helm/helm-service-account.yaml 16 | ``` 17 | 下载```tiller```的docker image。 18 | ``` 19 | #!/bin/bash 20 | 21 | set -x 22 | dockerimages=( 23 | gcr.io/kubernetes-helm/tiller:v2.8.2 24 | ) 25 | 26 | j=1 27 | for i in ${dockerimages[@]} 28 | do 29 | echo $i 30 | echo $j 31 | 32 | docker pull $i && docker save $i -o $j.tar && xz $j.tar 33 | docker rmi $i 34 | let j+=1 35 | done 36 | set +x 37 | ``` 38 | 初始化```helm``` 39 | ``` 40 | helm init --service-account tiller 41 | ``` 42 | ###helm安装istio 43 | 默认的helm安装istio命令为 44 | ``` 45 | helm install install/kubernetes/helm/istio --name istio 46 | ``` 47 | ###helm删除istio 48 | 卸载istio 49 | ``` 50 | helm delete --purge istio 51 | ``` -------------------------------------------------------------------------------- /serviceMesh/istio/bookinfo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/istio/bookinfo.png -------------------------------------------------------------------------------- /serviceMesh/istio流量管理.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/istio流量管理.pdf -------------------------------------------------------------------------------- /serviceMesh/istio配套网络插件cilium.md: -------------------------------------------------------------------------------- 1 | 目前istio与cilium的结合如下图所示 2 | ![cilium-istio-cur](./cilium/cilium-istio-cur.png "cilium-istio-cur") 3 | cilium目前对istio做了修改后结合，但是istio本身在不断的迭代更新，没有稳定版本的出现。因此这种使用方式有很大风险。 4 | 未来的cilium与istio结合应如下图所示 5 | ![cilium-istio-fur](./cilium/cilium-istio-fur.png "cilium-istio-fur") 6 | cilium不对istio做修改，而是使用对方的功能，并持续跟进istio的迭代更新。 7 | 目前kubernetes使用istio的sidecar模式，pod与pod之间的网络速率有15%到20%的损失，损失值过大。在网络时延上面相差不大。cilium在网络时延非常快速，比envoy代理模式快。网络速率暂时没有测试数据。 8 | ![cilium-istio-fur-2](./cilium/cilium-istio-fur-2.png "cilium-istio-fur-2") 9 | 如果cilium与istio能实现不做修改结合，有机会需要测试一下网络性能数据，cilium应该会给我们惊喜。 -------------------------------------------------------------------------------- /serviceMesh/istio配置请求速率限制.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/istio配置请求速率限制.pdf -------------------------------------------------------------------------------- /serviceMesh/kubernetesApiGatewayAmbassador实践.md: -------------------------------------------------------------------------------- 1 | 参考网址： https://www.getambassador.io/user-guide/getting-started 2 | ###kubernetes部署ambassador 3 | 运行ambassador-service.yaml 4 | ``` 5 | kubectl apply -f ambassador-service.yaml 6 | ``` 7 | 下载ambassador的deployment文件 8 | ``` 9 | wget https://getambassador.io/yaml/ambassador/ambassador-rbac.yaml 10 | kubectl apply -f ambassador-rbac.yaml 11 | ``` 12 | 运行例子 13 | ``` 14 | kubectl apply -f qotm.yaml 15 | ``` 16 | 访问qotm 17 | ``` 18 | kubectl get svc 19 | NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE 20 | ambassador NodePort 172.20.205.235 80:31986/TCP 23m 21 | ambassador-admin NodePort 172.20.162.212 8877:31264/TCP 19m 22 | kubernetes ClusterIP 172.20.0.1 443/TCP 6h 23 | 24 | curl -v http://192.192.189.121:31986/qotm/ 25 | ``` 26 | 访问ambassador的ui界面 27 | ``` 28 | http://192.192.189.121:31264/ambassador/v0/diag/ 29 | ``` 30 | ###ambassador添加认证功能 31 | 32 | 33 | ###ambassador添加访问速率限制功能 34 | 35 | ###ambassador添加动态路由 36 | 37 | ###结合istio使用 38 | 39 | ###ambassador的统计，监控，告警 -------------------------------------------------------------------------------- /serviceMesh/servicemesh/servicemesh.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/servicemesh/servicemesh.png -------------------------------------------------------------------------------- /serviceMesh/servicemesh/servicemesh01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wenwenxiong/book/9c1b3026d553d3d33cfb66da6342f1e6c686f9e3/serviceMesh/servicemesh/servicemesh01.png -------------------------------------------------------------------------------- /serviceMesh/servicemesh/servicemesh02.png: -------------------------------------------------------------------------------- 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###需求一：API网关转发策略 2 | API网关转发策略要求把服务api的url映射为统一经过API网关后的url。 3 | 例如，服务msp的api1的url为/msp/v1/api1，服务msp的api2的url为/msp/v2/api2 4 | 用户从外部访问平台的服务api1时，发往的请求url为 5 | http://$apigatewayip:$port/msp/api1 6 | 用户从外部访问平台的服务api2时，发往的请求url为 7 | http://$apigatewayip:$port/msp/api2 8 | 底层需要做的支撑分为两部分 9 | 1、配置msp服务的入口为http://$apigatewayip:$port/msp 10 | 2、重写msp服务api1的路径由/msp/v1/api1定向到/msp/api1，重写msp服务api2的路径由/msp/v2/api2定向到/msp/api2 11 | ###需求三：API网关用户访问配额 12 | API网关用户访问配额指针对特定的服务的api进行访问次数限制。 13 | 限制的策略类型为 14 | 按次：api的总访问次数固定，一旦超过，则不予响应。 15 | 频率：api的访问限制为每天固定次数，一旦超过，则不予响应；第二天重置次数。 16 | 时间范围：api的访问在指定时间内可以被访问，一旦超出时间范围，则不予响应。 17 | 无限制：api的访问次数无限制。 18 | 19 | 目前是针对api访问次数进行限制，不知道后期会不会加入对api的访问总流量添加限制。 20 | --------------------------------------------------------------------------------