Continuous Delivery
Continuous delivery keeps software in a state where it can be released to production at any time through an automated pipeline. Every commit passes build, test, and staging gates so that deployment becomes a business decision rather than a technical event.
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Intro
Continuous Delivery
Continuous delivery is the capability to move changes—application code, configuration, infrastructure, database changes, fixes, and experiments—into production or into users' hands safely, quickly, and sustainably. The defining test is not how often a team releases. It is whether the software remains deployable and the team can release an approved change on demand through a reliable process.
The useful mental model is a permanently rehearsed path from version control to a releasable outcome. Every change enters that path. Fast checks reject obvious defects early; progressively broader checks increase confidence; deployment automation proves that the candidate can move through environments repeatably. A release becomes a routine decision made against a known-good candidate, not the start of a stabilization project.
Why continuous delivery exists
Traditional phased delivery accumulates work. Integration, regression testing, environment preparation, security review, and deployment are postponed until a release window. Feedback arrives after many changes have been combined, so failures are harder to isolate and fixes compete with more recent work. The release itself becomes large, rare, and operationally exceptional.
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Sources
- https://continuousdelivery.com/
Supports
- Definition, deployable-state objective, applicable change types, and on-demand release framing
- Continuous feedback replacing late integration, testing, and hardening phases
- Small batches, automation, and quality built through the delivery process
- https://continuousdelivery.com/2010/08/continuous-delivery-vs-continuous-deployment/
Supports
- Distinction between continuous delivery and continuous deployment
- Separation of deployment from release and retention of business release decisions
- Need for build, test, and deployment automation with cross-functional collaboration
- https://continuousdelivery.com/implementing/patterns/
Supports
- Deployment pipeline as the central pattern
- Build once, use the same deployment mechanism, and maintain similar environments
- Incremental releases, smaller batches, and decoupling deployment from release
- https://continuousdelivery.com/implementing/architecture/
Supports
- Testability and deployability as architectural properties
- Loose coupling, independent deployment, and compatible interfaces
- https://dora.dev/capabilities/continuous-delivery/
Supports
- Deploy-on-demand capability and deployable-state diagnostic questions
- Technical capability map and limits of tooling-only transformation
- Value-stream mapping of elapsed time, work time, waits, and bottlenecks
- https://dora.dev/capabilities/deployment-automation/
Supports
- Automated deployment inputs and consistent deployment across environments
- Same-package promotion, versioned scripts and configuration, and repeatability
- Manual-step, automation-level, and pipeline-delay measurements
- https://dora.dev/capabilities/test-automation/
Supports
- Fast reliable automated suites and continuous testing throughout delivery
- Progressive pipeline evidence and continued role of exploratory testing
- https://dora.dev/capabilities/loosely-coupled-teams/
Supports
- Independent acceptance testing and deployment
- Team autonomy, compatibility, and low-downtime deployment patterns