Home » Tag Archives: Continuous Deployment

Tag Archives: Continuous Deployment

Docker meets Continuous Deployment

About one year ago I had my first contact with Docker. This new kid on the block promised to relieve our poor computers from installation of all tools, languages, dependencies and operating systems. Isolated run environments emerged on developers’ computers. While my ops teammates chose a more conservative approach, I started to use Docker with great joy. Despite many people ...

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Critical Mass of Tests for Continuous Deployment

Does this situation sound familiar? An engineering team relies on manual testing for quality assurance and preventing regressions. The manual process is lengthy, prone to errors, and doesn’t handle edge cases, so there are frequent regressions that slip into production. The deployment pipeline has slowed to a crawl, causing features to pile up on top of each other. Getting anything ...

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Continuous Deployment circleci, AWS (Elastic Beanstalk), Docker

Introduction We run some of our services in Docker container, under Elastic Beanstalk (EB). We use circleci for our CI cycle. EB, Docker and Circlec integrate really nice for automatic deployment. It’s fairly easy to set up all the services to work together. In this post, I am summarising the steps to do it. About EB Applications and Versions Elastic ...

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Blue-green Deployments, A/B Testing, and Canary Releases

A lot of teams I talk to recently are very interested in “DevOps” (whatever that means… seems to mean different things to different people?) and when we sit down and talk about what that really means, the direction of the conversation can go down many interesting paths. And some times, the path it goes down makes people feel very uncomfortable. ...

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Build Binaries Only Once for Continuous Deployment

What is Build Binaries Only Once? One of the fundamental principle of Continuous Delivery is Build Binaries Only Once, or in short BBOO. This means that the binary artifacts should be build once, and only once. These artifacts should then be stored in a repository manager, such as a Nexus Repository. Subsequent deploy, test, and release cycles should never attempt to build ...

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Continuous Deployment: Implementation with Ansible and Docker

This article is part of the Continuous Integration, Delivery and Deployment series. The previous article described several ways to implement Continuous Deployment. Specifically, it described, among other things, how to implement it using Docker to deploy applications as containers and nginx for reverse proxy necessary for successful utilization of blue-green deployment technique. All that was running on top of CoreOS, ...

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Continuous Deployment: Implementation

This article is part of the Continuous Integration, Delivery and Deployment series. Previous post described several Continuous Deployment strategies. In this one we will attempt to provide one possible solution for reliable, fast and automatic continuous deployment with ability to test new releases before they become available to general users. If something goes wrong we should be able to rollback ...

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Continuous Deployment: Strategies

This article is part of the Continuous Integration, Delivery and Deployment series. Previous article provided introduction to continuous deployment. In this one we’ll continue where we left and explore different strategies to deploy software. The article is in no way an exhaustive list of ways to deploy applications but tries to provide few common ways that are in use today. ...

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Continuous Deployment: Introduction

This article is part of the Continuous Integration, Delivery and Deployment series. Continuous deployment is the ultimate culmination of software craftsmanship. Our skills need to be on such a high level that we have a confidence to continuously and automatically deploy our software to production. It is the natural evolution of continuous integration and delivery. We usually start with continuous ...

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Automating the Deployment and Upload of Snapshot Java Artifacts Using Jenkins on Window

This post will show how to automate the deployment process of a Java Web Application (Student Enrollment Application developed using MYSQL DB with Hibernate ORM in a REST based Jersey2 Spring environment) using Jenkins Continuous Integration – to build the project, run the unit tests, upload the built artifacts to a Sonatype Snapshot repository, run the Cobertura Code Coverage reports ...

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