Unleash the combination of Docker and Jenkins in order to enhance the DevOps workflow
About This Book
Build reliable and secure applications using Docker containers.
Create a complete Continuous Delivery pipeline using Docker, Jenkins, and Ansible.
Deliver your applications directly on the Docker Swarm cluster.
Create more complex solutions using multi-containers and database migrations.
Who This Book Is For
This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets.
Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus.
What You Will Learn
Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process
Configure Jenkins and scale it using Docker-based agents
Understand the principles and the technical aspects of a successful Continuous Delivery pipeline
Create a complete Continuous Delivery process using modern tools: Docker, Jenkins, and Ansible
Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins
Create multi-container applications using Docker Compose
Managing database changes inside the Continuous Delivery process and understand effective frameworks such as Cucumber and Flyweight
Build clustering applications with Jenkins using Docker Swarm
Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices
In Detail
The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization.
This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management.
Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins.
By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Style and approach
The book is aimed at DevOps Engineers, developers and IT Operations who want to enhance the DevOps culture using Docker and Jenkins.
Unleash the combination of Docker and Jenkins in order to enhance the DevOps workflow
About This Book
Who This Book Is For
This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets.
Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus.
What You Will Learn
In Detail
The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization.
This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management.
Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins.
By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Style and approach
The book is aimed at DevOps Engineers, developers and IT Operations who want to enhance the DevOps culture using Docker and Jenkins.