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Tag Archives: Continuous Delivery

Continuous Integration, Delivery, Deployment and Maturity Model

Continuous Integration, Continuous Deployment, and Continuous Delivery are all related to each other, and feed into each other. Several articles have been written on these terms. This blog will attempt to explain these terms in an easy-to-understand manner. What is Continuous Integration? Continuous Integration (CI) is a software practice that require developers to commit their code to the main workspace, ...

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Continuous Delivery: Code Coverage

This article is part of the Continuous Integration, Delivery and Deployment series. In the previous article we explored unit tests as the first and fastest set of tests we should run. Now it’s time to see whether our unit tests provide enough code coverage. Code Coverage Unit tests by themselves do not provide enough confidence unless we know that they ...

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Continuous Delivery with Docker, Jenkins, JBoss Fuse and OpenShift PaaS

I recently put together an end-to-end demo showing step-by-step how to set up a Continuous Delivery pipeline to help automate your deployments and shorten your cycle times for getting code from development to production. Establishing a proper continuous delivery pipeline is a discipline that requires more than just tools and automation, but having good tools and a head start on ...

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Continuous Delivery: Unit Tests

In the previous article we explored static analysis as one of the first steps in Continuous Delivery. Our journey will continue with unit tests. Unit Tests Unit tests are probably the most important part of Continuous Delivery. While unit tests cannot substitute integration and functional tests, they are very easy to write and should be very fast to execute. As ...

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Continuous Delivery: Static Analysis

This is the third article in the “Continuous Delivery” series. The CI Tools Setup ended with Jenkins up and running waiting for us to use it. Travis, on the other hand, was left aside and soon we’ll see why. In this article we’ll explore static analysis as the first type of tasks that we should do in our delivery pipeline. ...

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Continuous Delivery: CI Tools Setup

This is the second article in the “Continuous Delivery” series. We’ll continue where we left in Introduction to concepts and tools. The goal of this article is to set up a Jenkins server locally through automated and repeatable process with all the artifacts stored in the GIT repository. This will require tools like VirtualBox and Vagrant. It will also require ...

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Continuous Delivery: Introduction to concepts and tools

This is the first article in a “Continuous Delivery” series. We’ll start out journey with brief explanation of Continuous Delivery. After short exploration of some of the tools used today, we’ll move towards the flow (from setting up brand new environment and getting the code from the repository to the creation of fully tested and verified distribution). Each section will ...

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Trigger Continuous Delivery every GitHub commit

Crucial piece of puzzle when developing web application is Continuous Delivery. Testers or users can by early access to alpha version contribute to development process. Design,  requirements, architecture or performance problems can be catched much sooner. I am going to show how to set up this process with usage of Maven and Jenkins. Target environment is hosted on Tomcat7. Source ...

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Continuous Delivery for Heroku With Jenkins

A continuous delivery pipeline that leverages Jenkins and targets Heroku is fairly simple to set up, provided you install the Jenkins Git plugin. With this pipeline, changes to a specific Git branch will result in a Heroku deployment. For this deployment process to work nicely, you should use at least two Git branches, as you’ll want to have one branch ...

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