Book Image

Continuous Delivery with Docker and Jenkins - Second Edition

By : Rafał Leszko
Book Image

Continuous Delivery with Docker and Jenkins - Second Edition

By: Rafał Leszko

Overview of this book

Continuous Delivery with Docker and Jenkins, Second Edition will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of an 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 Kubernetes. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. Towards the end, the book will touch base with missing parts of the CD pipeline, which are the environments and infrastructure, application versioning, and nonfunctional testing. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins.
Table of Contents (18 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Index

Advanced Kubernetes


Kubernetes provides a way to dynamically modify your deployment during runtime. This is especially important if your application is already running on production and you need to support zero downtime deployments. First, let's look at how to scale up an application and then present the general approach Kubernetes takes on any deployment changes.

Scaling an application

Let's imagine that our Calculator application is getting popular. People have started using it and the traffic is so high that the three Pod replicas are overloaded. What can we do now?

Luckily, kubectl provides a simple way to scale up and down deployments using the scale keyword. Let's scale our Calculator deployment to 5 instances:

$ kubectl scale --replicas 5 deployment calculator-deployment

That's it—our application is now scaled up:

$ kubectl get pods
NAME                                  READY STATUS  RESTARTS AGE
calculator-deployment-dccdf8756-h2l6c 1/1   Running 0        19h
calculator-deployment-dccdf8756...