![]() The full source code for this post can be viewed at exoscale/exoscale-circleci-nodejs. The application consists of a single file server.js which is shown below. ![]() To demo our CircleCI workflow, we will use a simple NodeJS application that responds with a version number. To keep things simple we will run a single VM, but the same principles can be applied to deploy to multiple virtual machines and environments. Our CircleCI workflow will be responsible for building a Docker image, testing a Docker image, pushing a Docker image to Docker Hub, and deploying a Docker image to a VM from CircleCI. Example CircleCI Workflow with DockerĪ CircleCI workflow will form the basis of our Continuous Delivery Pipeline. For this article we will proceed with CircleCI but we could just have easily chosen another CI server, most of the steps will be performed with Docker which makes running builds locally a breeze, and keeps our options open if we want to migrate to a different CI server in the future. The principles of CI remain the same regardless of the tool, changes should be pushed to a shared repository and verified by automated tests on a CI server that run after every push to the repository. Both CircleCI and Travis CI integrate well with GitHub, are free for open source projects, and support Docker builds, so there isn’t much setting them apart. Hosting your own CI Server is the most flexible option, but it is easier to get started with a hosted solution. When choosing a CI Server you need to decide whether to host your own, which is common with Jenkins, or go with a hosted service such as CircleCI or Travis CI. The human involvement could be a manual deploy performed by a release engineer, or something as simple as the click of a button, but it differs from Continuous Deployment where every successful build is released to production: ![]() The pipeline shown above consists of three stages: test, build, and deploy, with human intervention needed before the software is deployed. The steps will vary depending on the programming languages and build process, and the various layers of tests the team has decided to include.Ĭontinuous Delivery encompasses all the steps from a commit by a developer to preparing a production release. Continuous Integration involves an automated build and test for every commit, aiming to catch any integration errors as quickly as possible.Ī deployment pipeline is a series of steps performed on a CI server relating to the testing, building, and deployment of software. Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.Ĭontinuous Integration (CI) can be seen as one of the first steps towards achieving Continuous Delivery. It is so important in modern software development that it forms the first principle of the Agile Manifesto: Many of these deployment steps can be automated, saving development time, removing the potential for human error, and reducing release cycle times.Ĭontinuous Delivery is all about keeping software in a deployable state. Whether you’re deploying to dedicated servers, virtual machines, or a Platform as a Service (PaaS), there are often manual steps involved in order to get the software released. In What is Continuous Integration? we described CI and CD in detail, in this article we will implement a Continuous Delivery Pipeline with CircleCI and Docker.ĭeploying software can be a time-consuming process. Continuous Integration, Continuous Delivery, and Continuous Deployment have been getting plenty of attention in the software world in recent years. ![]()
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