What is CI/CD and why automate deployments?
Published on 2026-10-17 by frfrand
Integración continua, entrega y despliegue continuo explicados con ejemplos: qué automatizar, qué probar y cómo evitar publicar errores.
You changed two lines in an application. Now you have to upload the files, install dependencies, compile, restart a service, and verify that the web is still alive. The first time seems acceptable. The tenth time, someone forgets a step.
CI/CD gathers practices to check and deliver software changes in a repeatable way, and automate tasks where it makes sense. It does not turn a project into a professional one by magic, but it helps avoid routine errors.
First, what does CI mean?
CI is continuous integration. It consists of integrating code changes frequently and verifying them through automated tasks.
Imagine three people working on the same application. One changes the users, another the reservations, and another the interface. Each change may seem correct on its own, but together they could break something. Running tests when integrating changes allows discovering this before it becomes a problem.
A simple CI process can do this:
- Detects a new change in the repository.
- Downloads the code into a clean environment.
- Installs the necessary dependencies.
- Runs tests and checks if the application can be built.
- Returns a result: passed or failed.
It does not guarantee that the application is free of errors. It only verifies what you have actually configured and tested.
Now, what does CD mean?
The acronym CD can mean two things. In continuous delivery, changes pass through a series of checks and are ready to be released when the team decides. In continuous deployment, the process also automatically puts into production the versions that meet the defined conditions.
The difference is important. In an online store with real payments, you might prefer human approval before publishing certain changes. In an internal website with reliable tests, automating all the way to the last step can be reasonable.
A everyday example
Think of a bakery. The code is the recipe, the tests are the quality controls, and deployment is putting the product on sale.
If the oven shows an incorrect temperature, it's best to discover it before filling the shelves. But passing all the controls also doesn't prove that every customer will enjoy the bread. With software, something similar happens: the pipeline reduces risks, it doesn't eliminate the need to observe what happens afterward.
Common tools
GitHub Actions, GitLab CI/CD, and other platforms can execute steps when an event occurs, such as a push or a pull request. Some build Docker images, others run tests or call the system that performs the deployment.
You don't need to install five tools at once. For a small project, starting by checking that the backend passes its tests and the frontend compiles correctly already adds value.
Three common mistakes when starting out
Publishing without real tests. A pipeline that only prints “all good” does not validate the product’s functionality.
Storing secrets inside the repository. Tokens, private keys, and passwords must be managed with proper mechanisms; they should not end up in commits.
Having no way to roll back. If an update fails, it’s useful to know how to restore a stable version, review migrations, and protect data. Reverting to the previous code does not always undo database changes.
How it applies in ArduMaker?
In ArduMaker you can manage deployments from Git repositories. A good practice is to separate building, checks, and publishing, and to record which version ended up running. The platform does not replace the responsibility of testing the software.
To remember: CI/CD does not mean “pushing code faster.” It means making changes in a way that you can repeat, verify, and fix without relying on someone remembering an endless list of steps.