舉報 
會員
Implementing Modern DevOps
最新章節：
What is next?
ThisbookiswrittenforengineersandcompaniesthatwanttolearntheminimumsetofrequiredtechnologiesandprocessestobesuccessfulintheDevOpsworld.Thisbookalsotargetssystemadministrators,developers,andITprofessionalswhowouldliketoemployDevOpstechniquesandbestpracticestomanageITinfrastructuresorwouldliketoacquirethenecessaryskillsneededtoworkinDevOpsteams.
目錄(173章)
倒序
- coverpage
- Title Page
- Copyright
- Implementing Modern DevOps
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Why subscribe?
- Customer Feedback
- Dedication
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Downloading the example code
- Downloading the color images of this book
- Errata
- Piracy
- Questions
- DevOps in the Real World
- What is DevOps?
- DevOps origins
- DevOps and corporations
- Traditional release management
- Chain of communication
- The cost of fixing a bug
- Releasing new versions
- Modern release management
- Agile development and communication
- Releasing new versions
- DevOps and microservices
- DevOps: Organizational alignment
- What to expect from this book
- Summary
- Cloud Data Centers - The New Reality
- Amazon Web Services
- EC2 - computing service
- Launching an instance
- Relational Database Service
- Networking in AWS and EC2
- Storage in AWS and EC2
- Amazon S3
- Amazon ECR and ECS
- Creating a cluster
- Other services
- Route 53
- CloudFront
- Amazon ElasticCache
- Amazon RDS
- DynamoDB
- Google Cloud Platform
- Google Compute Engine
- Standard machine types
- High-memory machine types
- High-CPU machine types
- Shared-core machine types
- Custom machines and GPU processing
- Launching an instance
- Networking
- Google Container Engine
- Setting up a cluster
- Other Google Cloud Platform products
- Google App Engine
- Machine Learning APIs
- Big data
- Other cloud providers
- Heroku
- DigitalOcean
- Azure
- Summary
- Docker
- Docker architecture
- Docker internals
- Docker client
- Building Docker images
- Dockerfile reference
- Docker registries
- Public registries
- Private registries
- Docker volumes
- Docker networking
- User-defined networks
- Docker Compose
- Summary
- Continuous Integration
- Software development life cycle
- Testing types
- Traditional CI servers
- Bamboo
- Jenkins
- Secrets Management
- Modern CI servers
- Drone CI
- Installing Drone
- Running builds
- Executing pipelines
- Other features
- Summary
- Infrastructure as Code
- Google Cloud Platform SDK - gcloud
- Creating resources with Google Cloud SDK
- Terraform
- Creating resources
- Remote state management
- Modifying your infrastructure
- Terraform variables
- Terraform outputs
- Summary
- Server Provisioning
- Server provision software
- Chef
- Puppet
- Ansible
- Ansible
- Ansible configuration
- Ansible variables remote facts and templates
- Ansible variables
- Ansible remote facts
- Ansible templates
- Flow control
- Roles
- Ansible Tower
- Summary
- Docker Swarm and Kubernetes - Clustering Infrastructure
- Why clustering ?
- Docker Swarm
- Kubernetes
- Kubernetes logical architecture
- Setting up a cluster in GCP
- Kubernetes building blocks
- Pods
- Deploying a pod
- Replica Sets
- Deployments
- Services
- Other Building Blocks
- PetSets
- Jobs
- Secrets and configuration management
- Kubernetes- moving on
- Summary
- Release Management – Continuous Delivery
- Playing against the statistics
- The test system
- ISO date and UTC date services
- Aggregator service
- Pushing the images to Google Container Registry
- Setting up a continuous delivery pipeline for images
- Setting up Jenkins
- Continuous delivery for your application
- Regular release
- Blue-green deployment
- Canary deployment
- Summary
- Monitoring
- Introduction
- Types of monitoring
- Blackbox monitoring
- Whitebox monitoring
- Monitoring third-party tools
- Pingdom
- Logentries
- AppDynamics
- Stackdriver
- Monitoring applications
- Monitoring Kubernetes clusters
- Summary
- What is next? 更新時間：2021-07-08 10:11:53
推薦閱讀
- Vue 3移動Web開發與性能調優實戰
- Node.js Design Patterns
- 精通軟件性能測試與LoadRunner實戰（第2版）
- Designing Hyper-V Solutions
- JavaScript+Vue+React全程實例
- C語言程序設計案例精粹
- Vue.js 3應用開發與核心源碼解析
- 進入IT企業必讀的324個Java面試題
- Anaconda數據科學實戰
- 軟件測試技術
- INSTANT LESS CSS Preprocessor How-to
- 大話代碼架構：項目實戰版
- C語言編程魔法書：基于C11標準
- Leaflet.js Essentials
- Web程序設計與架構
- SQL Server 2012數據庫管理與開發（慕課版）
- Building an E-Commerce Application with MEAN
- Unity AI Game Programming（Second Edition）
- Bioinformatics with Python Cookbook
- Go語言從入門到項目實戰（視頻版）
- Mastering jQuery UI
- 設計模式的藝術
- Meteor Design Patterns
- HTML5+CSS3開發實戰
- Java編程詳解（微課版）
- Building Android Games with Cocos2d-x
- 機器學習入門：Python語言實現
- Learning BeagleBone Python Programming
- 使用Spring整合框架及銀行業務簡介（藍橋杯軟件大賽培訓教材-Java方向）
- Building Telephony Systems with OpenSIPS（Second Edition）
