舉報

會員
Configuration Management with Chef-Solo
最新章節:
Index
Thisisastep-by-stepguide,fullofhands-onexamplesofreal-worlddeploymenttasks.Eachtopicisexplainedandplacedincontext,whilealsopointingoutthekeydetailsoftheconceptsused.Thisbookisaimedatsystemadministratorsandsystemengineerswhohaveanunderstandingofconfigurationmanagementtoolsandinfrastructure.Fornoviceadministrators,itcontainseasy-to-useapplicationrecipestogetstartedimmediately.
目錄(58章)
倒序
- 封面
- 版權頁
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction to Chef and Chef-Solo
- Getting started with Chef
- Understanding Chef-Solo
- Terminologies
- Different use cases
- An overview of Chef
- Summary
- Chapter 2. Setting Up an Environment for Chef-Solo
- Installation on Linux and Ubuntu
- Prerequisites of Chef-Solo
- Cookbooks
- Downloading recipes
- Chef-Solo configuration
- Summary
- Chapter 3. Setting Up a Development Environment
- Introducing virtual machine
- Executing recipes with Vagrant
- Creating a Hello World recipe
- Summary
- Chapter 4. Developing Cookbooks
- Exploring Knife
- Developing recipes and cookbooks
- Berkshelf
- Understanding recipes
- Resources
- Attributes
- Metadata
- Summary
- Chapter 5. More about Cookbooks and Recipes
- Using files
- Exploring templates
- Data bags
- Roles
- Restarting services and server handling
- Summary
- Chapter 6. Chef-Solo and Docker
- Docker
- Installing Docker
- The working of Docker
- Dockerfiles
- Recommended ways to use Chef-Solo
- Chef server
- Summary
- Index 更新時間:2021-12-08 12:42:19
推薦閱讀
- 我們都是數據控:用大數據改變商業、生活和思維方式
- Hands-On Machine Learning with Microsoft Excel 2019
- Python數據分析、挖掘與可視化從入門到精通
- 工業大數據分析算法實戰
- Power BI商業數據分析完全自學教程
- 數據中心數字孿生應用實踐
- 達夢數據庫運維實戰
- Visual Studio 2013 and .NET 4.5 Expert Cookbook
- 大數據數學基礎(Python語言描述)
- 機器學習:實用案例解析
- Deep Learning with R for Beginners
- 算法設計與分析
- 標簽類目體系:面向業務的數據資產設計方法論
- 大數據隱私保護技術與治理機制研究
- 量化投資:交易模型開發與數據挖掘
- 數據庫技術與應用:SQL Server 2008
- 數據庫基礎與應用
- SQL Server 數據庫教程(2008版)
- Kafka權威指南(第2版)
- 工業大數據分析實踐
- 信息技術導論
- 大數據SQL優化:原理與實踐
- 數據要素價值化藍圖:全景、認知與路徑
- Sencha Architect App Development
- Git Essentials(Second Edition)
- R語言與數據挖掘
- 算法通關之路
- 零基礎學MySQL數據庫管理
- 數據結構:使用C語言(第4版)
- Learning SciPy for Numerical and Scientific Computing