Continuous Delivery vs. Continuous Deployment: Key Differences

Continuous delivery keeps every eligible change tested and ready for production, while leaving the decision to release it to a person or business process. Continuous deployment automatically releases eligible changes to production as soon as the pipeline’s required checks pass, without explicit per-change approval. The defining difference is the production release gate—not whether the team automates builds and tests.

Key differences at a glance

Question	Continuous delivery	Continuous deployment
What happens after checks pass?	The change is ready for production; a release decision can still be required.	The eligible change proceeds to production automatically.
Is there an explicit approval?	There may be a person or business authorization before production.	No explicit approval is needed for each eligible change.
Who determines release timing?	The team retains a production release decision.	The configured pipeline criteria determine when the release proceeds.
What do the terms have in common?	Both use a pipeline to build and validate changes. A failed stage stops the change from advancing.

These names describe the release process. They do not prescribe a universal test suite, rollout method, or risk tolerance. Those controls depend on the application and team.

How the production gate changes the pipeline

A typical pipeline starts when a change is committed and integrated. It builds the software, runs automated checks, and may move the result through test or staging environments. Common steps include unit and integration tests, building, and provisioning resources. The exact stages vary; failures should stop the change from advancing.

Build and validate: produce an artifact and run the checks required by the team.
Promote through environments: test the change in environments such as staging when the pipeline uses them.
Apply the production release rule: in continuous delivery, production can wait for a separate authorization. In continuous deployment, a change that meets configured criteria proceeds automatically.

Continuous delivery separates technical readiness from the decision to go live. A person can make that decision and tooling can execute it. Continuous deployment removes that per-change approval step. As AWS puts it, “Using continuous delivery, the decision to go live becomes a business decision, not a technical one.” AWS, What is continuous integration and continuous delivery/deployment?

Deployment method is a separate decision. In-place, rolling, immutable, and traffic-splitting approaches describe how software is rolled out; none defines whether a pipeline is continuous delivery or continuous deployment. Compare rollout methods by failure impact, deployment time, downtime, and rollback process. AWS deployment methods

When to choose each approach

Choose continuous delivery when release timing needs a decision

Use continuous delivery when you want changes continuously validated and kept releasable but need to decide when they reach production. A release might need to coordinate with customer timing, business readiness, operations, or policy. These are practical reasons to retain a gate, not requirements that apply to every team.

Continuous delivery is useful even if the team never intends to automate every production release. DORA says its principles apply across services, infrastructure, firmware, mobile apps, mainframes, and regulated environments. It notes that continuous deployment works well for web services but cannot be applied in the same way to firmware or mobile apps. DORA, Continuous delivery

Consider continuous deployment when automatic releases fit the software

Continuous deployment can suit a web service when the organization is comfortable with eligible changes reaching production automatically and has confidence in its checks and release operations. The pipeline’s criteria determine eligibility. This is not a maturity badge: the goal is to make releases safe, low-risk, and sustainable.

DORA’s guidance is direct: “You can and should start with continuous delivery, even if you never intend to start using continuous deployment.” DORA, Continuous delivery

How to move toward continuous deployment

Make delivery reliable first. Build a pipeline that consistently produces a tested, production-ready change.
Define eligibility. Specify which checks must pass before a change can progress. A failed check should stop advancement.
Keep the production decision explicit while you learn. Continuous delivery lets the team validate the pipeline and release process while retaining authorization.
Assess the application and release constraints. Decide whether automatic production releases fit the software and its distribution model. Firmware and mobile apps may have constraints that do not apply to web services.
Automate the release only when the configured process supports it. In continuous deployment, eligible changes proceed without an explicit approval for each one.
Choose rollout and rollback procedures separately. Select a deployment method based on the application’s failure impact, downtime needs, release speed, and rollback process.

These steps describe a decision sequence, not a claim that one test set or rollout control is universally sufficient. The sources define the approval distinction but do not establish identical checks or risk tolerance for every organization.

Common misconceptions

“Continuous delivery means every change ships immediately.” No. It means changes are kept ready for production; a release decision can remain.
“Continuous deployment is just better CI.” The difference is production release automation after checks pass, not simply build and test automation.
“A rolling deployment is continuous deployment.” No. Rolling describes a rollout method. Continuous deployment describes whether eligible changes reach production automatically.
“Continuous deployment is the goal for every team.” No. Software type and organizational context matter. Continuous delivery can be the right ongoing capability.

Common problems and how to address them

Problem	Likely cause	What to do
A change is described as continuous deployment, but a person approves every production release.	The pipeline still has an explicit production approval gate.	Describe the process as continuous delivery, or change the release rule if automatic production release is intended and appropriate.
A team expects continuous delivery to release to production automatically.	“Delivery” is being confused with “deployment.”	Check whether a separate production authorization remains. Readiness to release does not itself mean the release happens.
A failed validation still advances toward production.	The pipeline is not enforcing its failure rule for that stage.	Review the configured stage and promotion conditions so a failed check stops advancement, consistent with the intended process.
A team is comparing pipelines by rollout strategy.	Release approval and deployment method are being treated as one decision.	First identify whether production requires approval. Then compare rollout methods by failure impact, timing, downtime, and rollback.
Automatic releases do not fit a product’s distribution constraints.	The software context differs from a web service that can accept an immediate production change.	Keep changes production-ready with continuous delivery and retain a release decision suited to the product.

Performance, reliability, and cost considerations

The definitions do not imply a particular release speed, reliability level, or infrastructure cost. Both approaches use automated validation; continuous deployment additionally automates the production release decision for eligible changes. A team should choose checks and rollout operations for its own software and risk tolerance. Failed pipeline stages should stop advancement, and rollout and rollback choices should be evaluated separately from the delivery model.

Continuous delivery can keep release readiness separate from customer exposure. Continuous deployment can remove a per-change approval step where automatic release fits. The sources do not provide a universal cost comparison or numeric performance benchmark between the approaches, so those outcomes should not be assumed from the labels alone.

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FAQ

Can a team use continuous delivery without continuous deployment?

Yes. A team can keep changes tested and ready for production while retaining a release decision indefinitely.

Does continuous deployment mean every commit reaches production?

It means changes eligible under the configured pipeline checks proceed automatically. A change that fails a required check should not advance.

Are continuous deployment and continuous delivery rollout strategies?

No. They describe the production release decision. Rolling, in-place, immutable, and traffic-splitting describe rollout methods.

Which term should a team use if it has an approval button?

If each production release requires explicit approval, continuous delivery describes that gate; continuous deployment has no per-change production approval.