OpenShift云原生架構(gòu)：原理與實(shí)踐

OpenShift云原生架構(gòu)原理與實(shí)踐目錄\h第1章PaaS賦能云原生時(shí)代數(shù)字化轉(zhuǎn)型\h1.1PaaS重塑云計(jì)算時(shí)代\h1.1.1PaaS統(tǒng)一云計(jì)算架構(gòu)\h1.1.2PaaS構(gòu)建云計(jì)算未來\h1.1.3PaaS賦能微服務(wù)架構(gòu)\h1.1.4PaaS加速DevOps實(shí)踐\h1.1.5PaaS構(gòu)筑云原生時(shí)代\h1.2PaaS賦能企業(yè)數(shù)字化轉(zhuǎn)型\h1.2.1數(shù)字化轉(zhuǎn)型的本質(zhì)\h1.2.2PaaS賦能企業(yè)中臺(tái)\h1.2.3PaaS助力數(shù)字化轉(zhuǎn)型\h1.3企業(yè)級(jí)PaaS平臺(tái)OpenShift介紹\h1.3.1OpenShift及其發(fā)展簡史\h1.3.2OpenShift與云原生架構(gòu)\h1.3.3OpenShift與Kubernetes\h1.4本章小結(jié)\h第2章OpenShift架構(gòu)設(shè)計(jì)與原理\h2.1OpenShift總體架構(gòu)\h2.1.1OpenShift設(shè)計(jì)哲學(xué)\h2.1.2OpenShift核心組件\h2.1.3OpenShift核心概念\h2.1.4OpenShift部署架構(gòu)\h2.2OpenShift網(wǎng)絡(luò)之SDN\h2.2.1OpenShiftSDN網(wǎng)絡(luò)配置\h2.2.2OpenShiftNode節(jié)點(diǎn)上的SDN\h2.2.3OpenShiftSDN網(wǎng)絡(luò)隔離\h2.2.4OpenShift典型網(wǎng)絡(luò)訪問場(chǎng)景\h2.3OpenShift網(wǎng)絡(luò)之路由器\h2.3.1從集群外訪問OpenShift中的服務(wù)\h2.3.2OpenShiftHAProxy路由器介紹\h2.3.3OpenShift路由規(guī)則介紹\h2.3.4OpenShift路由服務(wù)高可用\h2.4OpenShift網(wǎng)絡(luò)之DNS\h2.4.1OpenShiftPod內(nèi)部DNS配置\h2.4.2OpenShiftNode節(jié)點(diǎn)DNS配置\h2.4.3OpenShift集群內(nèi)DNS查詢流程\h2.5OpenShift存儲(chǔ)\h2.5.1Docker卷\h2.5.2OpenShift存儲(chǔ)卷\h2.5.3OpenShift持久化卷\h2.5.4靜態(tài)創(chuàng)建持久化卷\h2.5.5動(dòng)態(tài)創(chuàng)建持久化卷\h2.6OpenShift權(quán)限控制\h2.6.1OpenShift權(quán)限概述\h2.6.2OpenShift權(quán)限認(rèn)證\h2.6.3OpenShift基于角色的權(quán)限訪問控制\h2.6.4OpenShift安全上下文約束\h2.7OpenShift服務(wù)目錄\h2.7.1OpenShift服務(wù)目錄概述\h2.7.2OpenShift服務(wù)目錄概念理解\h2.7.3OpenShift服務(wù)目錄使用介紹\h2.8本章小結(jié)\h第3章OpenShift集群部署與運(yùn)維\h3.1OpenShift集群規(guī)劃與部署準(zhǔn)備\h3.1.1集群軟件版本規(guī)劃\h3.1.2集群規(guī)模與資源需求\h3.1.3集群高可用架構(gòu)設(shè)計(jì)\h3.1.4集群主機(jī)環(huán)境需求\h3.1.5集群主機(jī)系統(tǒng)準(zhǔn)備\h3.2OpenShift開發(fā)測(cè)試環(huán)境快速部署\h3.2.1OpenShift容器與二進(jìn)制方式快速啟動(dòng)\h3.2.2OpenShift自定義腳本一鍵自動(dòng)部署\h3.2.3OpenShift開發(fā)測(cè)試環(huán)境Minishift\h3.3OpenShift集群生產(chǎn)環(huán)境自動(dòng)部署\h3.3.1OpenShift集群部署介紹\h3.3.2OpenShift集群自動(dòng)部署配置\h3.3.3OpenShift集群在線自動(dòng)部署\h3.3.4OpenShift集群離線自動(dòng)部署\h3.4OpenShift集群運(yùn)維與管理\h3.4.1OpenShift集群擴(kuò)容\h3.4.2OpenShift集群升級(jí)\h3.4.3OpenShift集群備份\h3.4.4OpenShift集群恢復(fù)\h3.5本章小結(jié)\h第4章OpenShift云原生應(yīng)用構(gòu)建與部署\h4.1OpenShift應(yīng)用構(gòu)建與部署概述\h4.1.1OpenShift應(yīng)用構(gòu)建介紹\h4.1.2OpenShift鏡像流介紹\h4.1.3OpenShift應(yīng)用部署介紹\h4.2OpenShift應(yīng)用構(gòu)建\h4.2.1BuildConfig資源對(duì)象\h4.2.2Docker構(gòu)建\h4.2.3源代碼構(gòu)建\h4.2.4jenkinsPipeline構(gòu)建\h4.3OpenShift應(yīng)用部署\h4.3.1DeploymentConfig資源對(duì)象\h4.3.2Rolling與Recreate部署\h4.4OpenShift資源模板\h4.4.1OpenShift資源模板介紹\h4.4.2OpenShift資源模板制作與應(yīng)用實(shí)踐\h4.5本章小結(jié)\h第5章OpenShift云原生DevOps構(gòu)建\h5.1DevOps發(fā)展簡介\h5.1.1DevOps發(fā)展背景介紹\h5.1.2DevOps流水線介紹\h5.2Jenkins持續(xù)集成\h5.2.1OpenShift云原生部署Jenkins\h5.2.2JenkinsOpenShift插件應(yīng)用介紹\h5.3GitLab代碼倉庫\h5.3.1OpenShift云原生部署GitLab\h5.3.2Jenkins與GitLab在OpenShift上的集成\h5.4SonarQube代碼掃描\h5.4.1OpenShift云原生部署SonarQube\h5.4.2Jenkins與SonarQube在OpenShift上的集成\h5.5Nexus制品庫\h5.5.1OpenShift云原生部署Nexus\h5.5.2Jenkins與Nexus在OpenShift上的集成\h5.6構(gòu)建JeeSite應(yīng)用DevOps流水線實(shí)戰(zhàn)\h5.7本章小結(jié)\h第6章ServiceMesh及其\h6.1傳統(tǒng)微服務(wù)架構(gòu)\h6.1.1微服務(wù)與SOA\h6.1.2SpringCloud框架\h6.1.3Dubbo框架\h6.1.4微服務(wù)現(xiàn)狀分析\h6.2云原生微服務(wù)架構(gòu)\h6.2.1ServiceMesh\h6.2.2Linkerd\h6.2.3Enovy\h6.2.4Istio\h6.2.5Docker、Kubernetes與Istio\h6.3Istio在OpenShift上的實(shí)現(xiàn)\h6.3.1OpenShift集群快速部署與實(shí)現(xiàn)\h6.3.2OpenShift上部署Istio集群\h6.3.3OpenShift上部署Istio微服務(wù)\h6.4基于OpenShift的Istio功能驗(yàn)證與測(cè)試\h6.4.1微服務(wù)監(jiān)控與跟蹤\h6.4.2微服務(wù)流量控制\h6.4.3微服務(wù)故障注入\h6.4.4微服務(wù)請(qǐng)求熔斷\h6.4.5微服務(wù)Egress路由\h6.4.6微服務(wù)可視化\h6.5本章小結(jié)\h第7章Serverless及其在OpenShift\h7.1軟件架構(gòu)演變歷史\h7.1.1單體架構(gòu)\h7.1.2SOA架構(gòu)\h7.1.3微服務(wù)架構(gòu)\h7.1.4Serverless架構(gòu)\h7.2深入認(rèn)識(shí)Serverless架構(gòu)\h7.2.1Serverless與云原生\h7.2.2Serverless與微服務(wù)\h7.2.3Serverless與PaaS\h7.2.4Serverless與FaaS\h7.3Serverless發(fā)展現(xiàn)狀\h7.3.1AWSLambda\h7.3.2OpenWhisk\h7.3.3OpenFaaS\h7.3.4Kubeless\h7.3.5Serverless現(xiàn)狀分析\h7.4Serverless統(tǒng)一平臺(tái)Knative\h7.4.1構(gòu)建系統(tǒng)Build\h7.4.2服務(wù)系統(tǒng)Serving\h7.4.3事件系統(tǒng)Eventing\h7.5基于OpenShift的Knative實(shí)現(xiàn)\h7.5.1部署OpenShift\h7.5.2部署Istio\h7.5.3部署KnativeServing\h7.5.4部署Serverless應(yīng)用\h7.6Knative應(yīng)用驗(yàn)證與測(cè)試\h7.6.1事件驅(qū)動(dòng)\h7.6.2自動(dòng)伸縮\h7.7本章小結(jié)\h第8章Spark數(shù)據(jù)科學(xué)及其在OpenShift上的實(shí)踐\h8.1Spark計(jì)算框架介紹\h8.1.1Spark組件\h8.1.2Spark的優(yōu)勢(shì)和特性\h8.2Spark與數(shù)據(jù)科學(xué)\h8.3SparkonK8S介紹\h8.4Spark數(shù)據(jù)科學(xué)在OpenShift上的實(shí)現(xiàn)\h8.4.1數(shù)據(jù)科學(xué)項(xiàng)目Radanalyticsio介紹\h8.4.2Spark集群在OpenShift上的生命周期管理\h8.4.3Spark應(yīng)用在OpenShift上的自動(dòng)部署實(shí)現(xiàn)\h8.5Spark數(shù)據(jù)科學(xué)之云原生自然語言處理\h8.5.1自然語言處理與Word2vec\h8.5.2自然語言處理開源項(xiàng)目Ophicleide\h8.5.3自然語言處理云原生