Intermediate Topic 21 of 50 DevOps & Tooling
Continuous Delivery
Keeping software always releasable via automated pipelines.
How it works
Continuous delivery extends continuous integration so every change that passes the pipeline is automatically packaged and ready to release at any time. The pipeline builds an artifact once, deploys it through environments such as staging, runs integration, performance and smoke tests, and then waits for approval or releases automatically, which is called continuous deployment. Automation covers database migrations, configuration and rollbacks. Releases become small, frequent and low risk because deployment is separated from the decision to expose a feature to users.
Where it is used
Teams use it to ship many times a day, shorten feedback loops and avoid stressful big-bang release weekends, with metrics such as lead time and change failure rate guiding improvements.
Common pitfall
Manual steps and environments that differ from production undermine confidence, and rebuilding per environment can deploy untested bits. Promote the same artifact through every stage, automate rollbacks and make database changes backward compatible.
Where it fits in the course
Continuous Delivery is topic 21 of 50 in DevOps & Tooling, rated Intermediate. It follows Continuous Integration. The next topic is Deployment Strategies.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the DevOps & Tooling quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the DevOps & Tooling quiz, and revisit the topic if you miss a question.
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Related topics
- Continuous Integration (DevOps & Tooling)
- Deployment Strategies (DevOps & Tooling)
- Semantic Versioning (DevOps & Tooling)
- Docker Images and Layers (DevOps & Tooling)