![]() In our traditional software engineering life cycle, we assume that when a feature gets deployed to prod, it becomes available to our customers right then and there. Plus, you’ll also learn to separate code deployments from feature releases. Your automated test suites need top-notch coverage, and you’ll have to build trust in the process with your business partners. Then you can build on top of the feedback and metrics you gain from those customers to build more features that they want.īut getting there will take some work. And your customers get to experience features sooner. If we introduce a bug, it’s easy to find which deployment and which code change caused the problem. It can provide safer deployments, as we’re only changing the application in small ways each time we deploy. Instead, with continuous deployment, we’re deploying every change that we push to our main branch, as long as our automated checks pass. And we’re not bundling all our changes into one release. So, what does continuous deployment give us that the previous two steps in the ladder did not? Well, with continuous deployment, we’re not waiting on someone else to push a button and send changes to production. Teams that were deploying once a quarter or once a year switched to deploying once a month or once a week. Our deployments were better, too, because we provided easy push-button production deploys that made the process repeatable and easier to roll back.Īlthough pushing our code to production still required manual intervention, our one-button push allowed our teams to speed up our deployment cadence. ![]() And we merged our code once a day, or at least tried to. We learned to write tests using Jasmine, Mocha, Chai, or other libraries. We started using Jenkins, Circle CI, and other tools. And we made an effort to merge code back to our main branch more frequently. When we started with CI/CD, we made strides by automating our project build and adding automated tests. To understand continuous deployment, let’s refresh our understanding of continuous integration and continuous delivery (CI/CD). Get a personalized demo today! CI/CD Background Speed up development cycles, reduce release risk, and focus your team on DevOps best practices that create maximum impact. In this post, we’ll look at a simple Node.js app and see how we can start incorporating CI/CD and continuous deployment practices into our development pipeline.īut first, let’s start by defining what continuous deployment means.ĭeploy Continuously with Confidence – Sign up for a Split demo! Although that might seem like a stretch from where you are right now with your deployment process, it’s doable and has advantages over the manual deployments most of us have worked with. With continuous deployment, we can push changes to our Node.js app quickly and have them in production once they pass automated tests. ![]() To take advantage of the tools we have today and keep up with our competitors, we should look further and see if continuous deployment can improve our development and delivery process, too. A growing number of teams and companies improved on that process and moved to a continuous deployment model, where they quickly push changes to production, even before a feature is complete. They helped us push features to our customers quickly. Not too long ago, continuous integration and continuous delivery (CI/CD) were enough to stretch our limits.
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