![]() Continuous delivery enables getting feedback as early as possible. And because the whole process is fully automated, the team can save time and focus on the code, thus improving the quality of the product. The team can also receive feedback immediately (either from team members on a development environment, from the client on a staging environment, and from the users after it goes live) and be able to react straight away, thus creating a positive feedback loop. The most immediate one is that our product can ship new features faster, indeed they can go live as soon as the team has finished coding them. The strategy of merging changes in the code into the main branch as often as possible, upon which automated tests against a build of the codebase are run to validate that the new code doesn’t introduce errors Īn extension to Continuous Integration which also automates the release process, enabling to deploy the project into production at any moment Īn extension to Continuous Delivery which automatically deploys the new code whenever it passes all required tests (as small a change it may contain), enabling to easily identify the source of any problem that might arise, and removing pressure off the team as it doesn’t need to deal with a "release day" anymore.Īdhering to these strategies has several benefits. In particular, Git as the version control system where to store our source code, and the availability of Git-hosting services (such as GitHub, GitLab and BitBucket) which trigger events when new code is pushed into the repository, enable to benefit from the following processes: Managing and automating software deployment involves both tools and processes. Introduction To Continuous Integration, Delivery, And Deployment By automating all the tasks to execute, we will not dread doing the deployment (and having a trembling sweaty finger when pressing the Enter button), indeed we may not be even aware of it.Īutomation improves the quality of our work, since we can avoid having to manually execute mind-numbing tasks again and again, which will enable us to use all our time for coding, and reassures us that the deployment will not fail due to human errors (such as overriding the wrong folder as in the old FTP days). How can we avoid getting overwhelmed by the complexity of the task at hand? The solution boils down to a single word: Automation. Nowadays, a typical web project may require to execute build tools to compress assets and generate the deliverable files for production, upload the assets to a CDN and invalidate stale ones, execute a test suite to make sure the code has no errors (for both client and server-side code), do database migrations (and, to be on the safe side, first execute a backup of the database), instantiate the desired number of servers behind a load balancer and deploy the application to them (through an atomic deployment, so that the website is always available), download and install the dependencies, deploy serverless functions, and finally notify the team that everything is ready through Slack or by email.Īll this process sounds like a bit too much, right? Well, it actually is too much. But those days are gone: Websites have gotten very complex, involving many tools and technologies in their stacks. (This is a sponsored article.) Managing the deployment of a website used to be easy: It simply involved uploading files to the server through FTP and you were pretty much done. In this article, let’s take a closer look at Buddy, one of the most comprehensive tools for automating website deployments. The typical website stack has gotten complex, involving many tools and technologies, and requiring automation to handle its deployment adequately.
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