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Continuous integration vs. delivery vs. deployment

Learn the differences between these continuous practices

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Sten Pittet

Contributing Writer


CI and CD are two acronyms frequently used in modern development practices and DevOps. CI stands for continuous integration, a fundamental DevOps best practice where developers frequently merge code changes into a central repository where automated builds and tests run. But CD can either mean continuous delivery or continuous deployment.

What are the differences between continuous integration, continuous delivery, and continuous deployment (CI/CD)?


Continuous integration

Developers practicing continuous integration merge their changes back to the main branch as often as possible. The developer's changes are validated by creating a build and running automated tests against the build. By doing so, you avoid integration challenges that can happen when waiting for release day to merge changes into the release branch.

Continuous integration puts a great emphasis on testing automation to check that the application is not broken whenever new commits are integrated into the main branch.

Continuous delivery

Continuous delivery is an extension of continuous integration since it automatically deploys all code changes to a testing and/or production environment after the build stage.

This means that on top of automated testing, you have an automated release process and you can deploy your application any time by clicking a button.

In theory, with continuous delivery, you can decide to release daily, weekly, fortnightly, or whatever suits your business requirements. However, if you truly want to get the benefits of continuous delivery, you should deploy to production as early as possible to make sure that you release small batches that are easy to troubleshoot in case of a problem.

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What is the DevOps pipeline?

Continuous deployment

How the practices relate to each other


To put it simply continuous integration is part of both continuous delivery and continuous deployment. And continuous deployment is like continuous delivery, except that releases happen automatically.

Differences between continuous integration, continuous delivery, and continuous deployment

How the practices relate to each other

To put it simply continuous integration is part of both continuous delivery and continuous deployment. And continuous deployment is like continuous delivery, except that releases happen automatically.


What are the benefits of each practice?

We've explained the difference between continuous integration, continuous delivery, and continuous deployments but we haven't yet looked into the reasons why you would adopt them. There's an obvious cost to implementing each practice, but it's largely outweighed by their benefits.

Continuous integration

What you need (cost)

  • Your team will need to write automated tests for each new feature, improvement or bug fix.
  • You need a continuous integration server that can monitor the main repository and run the tests automatically for every new commits pushed.
  • Developers need to merge their changes as often as possible, at least once a day.

What you gain

  • Less bugs get shipped to production as regressions are captured early by the automated tests.
  • Building the release is easy as all integration issues have been solved early.
  • Less context switching as developers are alerted as soon as they break the build and can work on fixing it before they move to another task.
  • Testing costs are reduced drastically – your CI server can run hundreds of tests in the matter of seconds.
  • Your QA team spends less time testing and can focus on significant improvements to the quality culture.

Continuous delivery

What you need (cost)

  • You need a strong foundation in continuous integration and your test suite needs to cover enough of your codebase.
  • Deployments need to be automated. The trigger is still manual but once a deployment is started there shouldn't be a need for human intervention.
  • Your team will most likely need to embrace feature flags so that incomplete features do not affect customers in production.

What you gain

  • The complexity of deploying software has been taken away. Your team doesn't have to spend days preparing for a release anymore.
  • You can release more often, thus accelerating the feedback loop with your customers.
  • There is much less pressure on decisions for small changes, hence encouraging iterating faster.

Continuous deployment

What you need (cost)

  • Your testing culture needs to be at its best. The quality of your test suite will determine the quality of your releases.
  • Your documentation process will need to keep up with the pace of deployments.
  • Feature flags become an inherent part of the process of releasing significant changes to make sure you can coordinate with other departments (support, marketing, PR...).

What you gain

  • You can develop faster as there's no need to pause development for releases. Deployments pipelines are triggered automatically for every change.
  • Releases are less risky and easier to fix in case of problem as you deploy small batches of changes.
  • Customers see a continuous stream of improvements, and quality increases every day, instead of every month, quarter or year.

One of the traditional cost associated with continuous integration is the installation and maintenance of a CI server. But you can reduce significantly the cost of adopting these practices by using a cloud service like Bitbucket Pipelines which adds automation to every Bitbucket repository. By simply adding a configuration file at the root of your repository you will be able to create a continuous deployment pipeline that gets executed for every new change pushed to the main branch.

A continuous deployment pipeline with Bitbucket

Going from continuous integration to continuous deployment

If you're just getting started on a new project with no users yet, it might be easy for you to deploy every commit to production. You could even start by automating your deployments and releasing your alpha version to production with no customers. Then you can ramp up your testing culture and make sure that you increase code coverage as you build your application. By the time you're ready to onboard users, you will have a great continuous deployment process where all new changes are tested before being automatically released to production.

But if you already have an existing application with customers you should slow things down and start with continuous integration and continuous delivery. Start by implementing basic unit tests that get executed automatically -- there's no need to focus yet on running complex end-to-end tests. Instead, you should try automating your deployments as soon as possible and get to a stage where deployments to your staging environments are done automatically. The reason is, if you have automatic deployments, you can focus your energy on improving your tests rather than periodically stopping things to coordinate a release.

Once you can start releasing software on a daily basis, you can look into continuous deployment. But make sure that the rest of your organization is ready as well: documentation, support, marketing, etc. These functions will need to adapt to the new cadence of releases, and it is important that they do not miss on significant changes that can impact customers.


If you're just getting started on a new project with no users yet, it might be easy for you to deploy every commit to production. You could even start by automating your deployments and releasing your alpha version to production with no customers. Then you can ramp up your testing culture and make sure that you increase code coverage as you build your application. By the time you're ready to onboard users, you will have a great continuous deployment process where all new changes are tested before being automatically released to production.

But if you already have an existing application with customers you should slow things down and start with continuous integration and continuous delivery. Start by implementing basic unit tests that get executed automatically -- there's no need to focus yet on running complex end-to-end tests. Instead, you should try automating your deployments as soon as possible and get to a stage where deployments to your staging environments are done automatically. The reason is, if you have automatic deployments, you can focus your energy on improving your tests rather than periodically stopping things to coordinate a release.

Once you can start releasing software on a daily basis, you can look into continuous deployment. But make sure that the rest of your organization is ready as well: documentation, support, marketing, etc. These functions will need to adapt to the new cadence of releases, and it is important that they do not miss on significant changes that can impact customers.

Read our guides


Read our guides

You can find some guides that will go more in depth to help you getting started with these practices.

Sten Pittet
Sten Pittet

I've been in the software business for 10 years now in various roles from development to product management. After spending the last 5 years in Atlassian working on Developer Tools I now write about building software. Outside of work I'm sharpening my fathering skills with a wonderful toddler.


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