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Continuous Delivery with Docker and Jenkins, 3rd Edition

Continuous Delivery with Docker and Jenkins, 3rd Edition

By : Leszko
4.5 (12)
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Continuous Delivery with Docker and Jenkins, 3rd Edition

Continuous Delivery with Docker and Jenkins, 3rd Edition

4.5 (12)
By: Leszko

Overview of this book

This updated third edition of Continuous Delivery with Docker and Jenkins will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. You’ll start by setting up a Docker server and configuring Jenkins on it. Next, you’ll discover steps for building applications and microservices on Dockerfiles and integrating them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, configuration management, and Infrastructure as Code. Moving ahead, you'll learn how to ensure quick application deployment with Docker containers, along with scaling Jenkins using Kubernetes. Later, you’ll explore how to deploy applications using Docker images and test them with Jenkins. Toward the concluding chapters, the book will focus on missing parts of the CD pipeline, such as the environments and infrastructure, application versioning, and non-functional testing. By the end of this continuous integration and continuous delivery book, you’ll have gained the skills you need to enhance the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Table of Contents (16 chapters)
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1
Section 1 – Setting Up the Environment
5
Section 2 – Architecting and Testing an Application
9
Section 3 – Deploying an Application

Chapter 9: Advanced Continuous Delivery

  1. Database schema migration is a process of incremental changes to the relational database structure.
  2. Flyway, Liquibase, Rail migrations (from Ruby on Rails), Redgate, Optima database administrator.
  3. Backward-compatible and non-backward-compatible.
  4. If one database is shared between multiple services, then each database change must be compatible with all services, which makes changes very difficult to initiate.
  5. Unit tests do not require the preparation of any special data; data is in memory and prepared by developers; integration/acceptance tests require the preparation of special data that is similar to production data.
  6. Parallel.
  7. Build parameters and shared libraries.
  8. Input.
  9. Rolling updates, blue-green deployment, and canary release.
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