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Glossary

What Is Deployment

Deployment is the process of moving finished code from development to a live server where users can access it. Plain-English definition.

Definition

Deployment is the process of taking code that has been written and tested, and putting it onto the server or platform where real users can access it. It is the step that turns development work into a live, usable product. Deployment can be done manually (a developer uploads files to a server) or automatically through a CI/CD pipeline. It typically involves transferring code, running database updates, clearing caches, and verifying that everything works correctly in the live environment.

Definition

Deployment is the process of taking code that has been written and tested, and putting it onto the server or platform where real users can access it. It is the step that turns development work into a live, usable product. Deployment can be done manually (a developer uploads files to a server) or automatically through a CI/CD pipeline. It typically involves transferring code, running database updates, clearing caches, and verifying that everything works correctly in the live environment.

Why It Matters

Deployment is where development work becomes business value. Until code is deployed, every feature, fix, and improvement exists only on a developer’s machine. How your team handles deployment affects how quickly you can respond to bugs, how often you can ship improvements, and how much risk each release carries. A well-structured deployment process means changes go live reliably and can be rolled back quickly if something goes wrong. A poor one means stressful releases, extended downtime, and bugs that reach your customers.

Example

Your development team finishes a new reporting feature for your internal dashboard. They deploy it by pushing the code to the repository, which triggers the CI/CD pipeline. The pipeline runs tests, builds the assets, and transfers everything to your production server. It runs the database migration to add the new tables the feature needs, clears the application cache, and restarts the queue workers. Within five minutes, your team can see the new reports — and if anything went wrong, the deployment log shows exactly where it failed.

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