Book Image

Practical DevOps

By : joakim verona
Book Image

Practical DevOps

By: joakim verona

Overview of this book

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes

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Practical DevOps
joakim verona
Feb, 2016 | 240 pages
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Table of Contents (17 chapters)
Practical DevOps
Practical DevOps
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Introduction to DevOps and Continuous Delivery
Introduction to DevOps and Continuous Delivery
Introducing DevOps
How fast is fast?
The Agile wheel of wheels
Beware the cargo cult Agile fallacy
DevOps and ITIL
Summary
2
A View from Orbit
A View from Orbit
The DevOps process and Continuous Delivery – an overview
Release management
Scrum, Kanban, and the delivery pipeline
Wrapping up – a complete example
Identifying bottlenecks
Summary
3
How DevOps Affects Architecture
How DevOps Affects Architecture
Introducing software architecture
The monolithic scenario
Architecture rules of thumb
The separation of concerns
The principle of cohesion
Coupling
Back to the monolithic scenario
A practical example
Three-tier systems
The presentation tier
The logic tier
The data tier
Handling database migrations
Rolling upgrades
Hello world in Liquibase
The changelog file
The pom.xml file
Manual installation
Microservices
Interlude – Conway's Law
How to keep service interfaces forward compatible
Microservices and the data tier
DevOps, architecture, and resilience
Summary
4
Everything is Code
Everything is Code
The need for source code control
The history of source code management
Roles and code
Which source code management system?
A word about source code management system migrations
Choosing a branching strategy
Branching problem areas
Artifact version naming
Choosing a client
Setting up a basic Git server
Shared authentication
Hosted Git servers
Large binary files
Trying out different Git server implementations
Docker intermission
Gerrit
The pull request model
GitLab
Summary
5
Building the Code
Building the Code
Why do we build code?
The many faces of build systems
The Jenkins build server
Managing build dependencies
The final artifact
Cheating with FPM
Continuous Integration
Continuous Delivery
Jenkins plugins
The host server
Build slaves
Software on the host
Triggers
Job chaining and build pipelines
A look at the Jenkins filesystem layout
Build servers and infrastructure as code
Build phases
Alternative build servers
Collating quality measures
About build status visualization
Taking build errors seriously
Robustness
Summary
6
Testing the Code
Testing the Code
Manual testing
Pros and cons with test automation
Unit testing
JUnit in general and JUnit in particular
Mocking
Test Coverage
Automated integration testing
Performance testing
Automated acceptance testing
Automated GUI testing
Integrating Selenium tests in Jenkins
JavaScript testing
Testing backend integration points
Test-driven development
REPL-driven development
A complete test automation scenario
Summary
7
Deploying the Code
Deploying the Code
Why are there so many deployment systems?
Virtualization stacks
Executing code on the client
The Puppet master and Puppet agents
Ansible
PalletOps
Deploying with Chef
Deploying with SaltStack
Salt versus Ansible versus Puppet versus PalletOps execution models
Vagrant
Deploying with Docker
Comparison tables
Cloud solutions
AWS
Azure
Summary
8
Monitoring the Code
Monitoring the Code
Nagios
Munin
Ganglia
Graphite
Log handling
Summary
9
Issue Tracking
Issue Tracking
What are issue trackers used for?
Some examples of workflows and issues
What do we need from an issue tracker?
Problems with issue tracker proliferation
All the trackers
Summary
10
The Internet of Things and DevOps
The Internet of Things and DevOps
Introducing the IoT and DevOps
The future of the IoT according to the market
Machine-to-machine communication
IoT deployment affects software architecture
IoT deployment security
Okay, but what about DevOps and the IoT again?
A hands-on lab with an IoT device for DevOps
Summary
Index
Index

About the Reviewers

Per Hedman is a passionate developer who is a strong proponent of DevOps and Continuous Delivery and believes that you should empower the developer and that they should take responsibility for the code that they write.

He is a software consultant by trade and has been a development and operations person since the early 2000s.

A special thanks to my wife and my two daughters for making me smile.

Max Manders is an Operations Engineer at FanDuel, the leader in online daily fantasy sports. Max previously worked in the operations center for Cloudreach, an Amazon Web Services Premier Consulting Partner. Max has put his past experiences and skills to good use in order to promote all things DevOps; he is also working to master Ruby and advocate Infrastructure as Code through Chef and Puppet.

Max is a cofounder and organizer of Whisky Web, a Scottish conference for the web development and operations community. When he's not writing code or tinkering with the latest and greatest monitoring and operations tools, Max enjoys whisky and playing jazz and funk trombone. Max lives in Edinburgh with his wife Jo and their cats Ziggy and Maggie.

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