Continuous Delivery & Deployment
Differentiate between Continuous Delivery (CD) and Continuous Deployment, and their benefits for rapid releases.
Continuous Delivery & Deployment is a free Docker & DevOps Fundamentals lesson on CoddyKit — lesson 3 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Docker & DevOps Fundamentals learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Beyond Integration: Release Ready
In our last lesson, we explored Continuous Integration (CI), where code changes are frequently merged and tested. But what happens after your code is integrated and tested?
This is where Continuous Delivery and Continuous Deployment come in. They are crucial for getting your software into users' hands quickly and reliably.

What is Continuous Delivery (CD)?
Continuous Delivery (CD) is a software development practice where code changes are automatically built, tested, and prepared for a release to production.
- The key idea is that your software is always in a deployable state.
- However, the final deployment to production is a manual step, triggered by a human decision.
CD Workflow: Ready for Release
Imagine a well-oiled machine preparing a product, but a person still gives the final 'go' before it leaves the factory.
- Code Commit: Developer pushes code.
- CI Pipeline: Code is built, unit tested, and integrated.
- Automated Tests: Further tests (integration, end-to-end) run automatically.
- Artifact Creation: A deployable package (e.g., a Docker image) is created.
- Staging Deployment: The package is automatically deployed to a staging environment for final checks.
- Manual Release: A team member manually approves and triggers deployment to production.
Benefits of Continuous Delivery
CD brings significant advantages to the development process:
- Reduced Risk: Each change is small, making issues easier to find and fix.
- Faster Feedback: Teams get quicker feedback on changes, improving quality.
- Higher Quality: Rigorous automated testing reduces bugs before manual approval.
- Faster Time-to-Market: Software is always ready to go, accelerating releases.
What is Continuous Deployment (CDep)?
Continuous Deployment (CDep) takes Continuous Delivery a step further. It means that every change that passes all automated tests is automatically released to production.
- There is no manual approval step before deploying to users.
- This requires an extremely high level of confidence in your automated testing and monitoring.
CDep Workflow: Fully Automated
Think of it as a fully autonomous factory where products are built, tested, and shipped immediately without human intervention.
- Code Commit: Developer pushes code.
- CI Pipeline: Code is built, unit tested, and integrated.
- Automated Tests: All integration, end-to-end, and performance tests run automatically.
- Artifact Creation: A deployable package is created.
- Staging Deployment: The package is automatically deployed to a staging environment.
- Automated Production Deployment: If all tests pass, the package is automatically deployed to production.
Benefits of Continuous Deployment
CDep maximizes the speed of releases and feedback loops:
- Ultra-Fast Releases: New features and bug fixes reach users almost instantly.
- Immediate Feedback: Real-world usage data and error reports come in faster.
- True Agility: Teams can iterate and respond to market changes with unparalleled speed.
- Reduced Overhead: Eliminates the time and effort of manual release coordination.
CD vs. CDep: The Key Difference
The main distinction between Continuous Delivery and Continuous Deployment lies in who (or what) makes the decision to deploy to production:
- Continuous Delivery: Automation ensures the software is always ready for release, but a human decides when to push the button for production deployment.
- Continuous Deployment: Automation handles everything; the software is automatically deployed to production as soon as it passes all tests. No human intervention is needed for the final release.
Choosing Your Path: CD or CDep?
Deciding between CD and CDep depends on your team's maturity, confidence in automation, and risk tolerance.
- Start with CD: It's a safer starting point, building confidence in your pipeline.
- Move to CDep: Only when your automated testing, monitoring, and rollback strategies are extremely robust.
- Consider Context: Highly regulated industries (e.g., finance, healthcare) often prefer CD due to compliance requirements.
Check Your Understanding
Which statement best describes the primary difference between Continuous Delivery and Continuous Deployment?
Recap: CD & CDep
You've now learned the critical distinction between Continuous Delivery and Continuous Deployment!
- Continuous Delivery (CD): Software is always ready for release, but a human triggers the final production deployment.
- Continuous Deployment (CDep): Software is automatically released to production as soon as it passes all automated tests.
These practices, built upon Continuous Integration, are fundamental to achieving rapid, reliable software releases in a DevOps culture.
Frequently asked questions
Is the “Continuous Delivery & Deployment” lesson free?
Yes — the full text of “Continuous Delivery & Deployment” is free to read here on the web, and the Docker & DevOps Fundamentals course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Docker & DevOps Fundamentals course, upgrade to CoddyKit PRO.
What will I learn in “Continuous Delivery & Deployment”?
Differentiate between Continuous Delivery (CD) and Continuous Deployment, and their benefits for rapid releases. You practise Docker & DevOps Fundamentals with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Docker & DevOps Fundamentals?
No prior experience is required. Docker & DevOps Fundamentals on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Continuous Delivery & Deployment” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Docker & DevOps Fundamentals lesson?
Yes. Every Docker & DevOps Fundamentals lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- The DevOps Mindset
- Continuous Integration Explained
- Continuous Delivery & Deployment
- Infrastructure as Code Fundamentals