![]() ![]() Try to find instances of if (env != 'production') in your code, and replace them with a significant environment variable, like if (_LEVEL = 'verbose'). Use environment variables, do not check the environment. Also, consider the extra disk space necessary to store the artifacts and the backups. It takes time to install and maintain, because when the build process involves more than just zipping a few files, you need to run it with a bundler like Webpack. We do it, and our customers love it.īut automating such a process comes with a substantial cost. And last but not least, the deployment can be automated to such an extent that it can be done by a non-technical person (like a product owner). For that reason, it's a good idea to invest in a staging environment that strictly equals the production environment.įeature flagging is also easier with such a deployment process: just check the environment variables. If a bunch of code works on staging, there is no reason that it should fail on production, unless there is a mistake in the configuration - or the environments aren't the same. In fact, with artifacts, the deployment becomes a configuration issue. It allows to run the exact same code on every environment. It is quick to deploy, instant to rollback, the backups are available and ready to run. Disclaimer: We wrote it! When You Should Use Artifact-Based DeploymentĪrtifact-based deployment comes with many advantages. ![]() If you don't want to write your environment variables on every production server you have, you can use a configuration manager like comfygure. I'll write a basic HTTP proxy, adding a random HTTP header to every request, in Node.js. If you have to build twice your artifact for two environments, you are missing the whole point. It can seem harmful or difficult, but it's the main feature of a deployment artifact. ![]() Yes, you read that right: Only the configuration must change, not the artifact itself. For example, if you need to deploy to staging and production servers, you should be able to use the same artifact. The ultimate goal of an artifact is to be downloaded as fast as possible on a server, and run immediately, with no service interruption.Īlso, an artifact should be configurable in order to be deployable on any environment. In such a state, you can store and version an artifact. Most often, it's a single binary, or a bunch of files compressed in an archive. What Is A Deployment ArtifactĪrtifacts aren't a new thing, but like every good practice, it's better when written down.Ī deployment artifact (or a build) is the application code as it runs on production: compiled, built, bundled, minified, optimized, and so on. This article illustrates artifact-based deployment in simple terms, through a practical example. It's quite popular, and part of the The Twelve-Factor App pattern. In my opinion, the best practice is artifact-based deployment, a lifesaver process that I use as much as possible. Automating these deployments then becomes critical to optimize the development workflow. When a project team grows, feature deployments become more frequent. ![]()
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