In todayโs fast-paced development environments, choosing the right pipeline pattern is critical for achieving reliable and efficient software delivery.
After working on multiple Azure DevOps projects and observing industry practices, one pattern stands out as the most widely adopted:
๐๐๐ถ๐น๐ฑ ๐ข๐ป๐ฐ๐ฒ, ๐๐ฒ๐ฝ๐น๐ผ๐ ๐ ๐ฎ๐ป๐ โ typically implemented using ๐ ๐๐น๐๐ถ-๐ฆ๐๐ฎ๐ด๐ฒ ๐ฌ๐๐ ๐ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ๐.
Why is this pattern so effective?
- ๐๐ผ๐ป๐๐ถ๐๐๐ฒ๐ป๐ฐ๐: The application is built only once and that same artifact is deployed across environments like Dev, QA, Staging, and Production. This prevents environment-specific issues.
- ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: Saves time by avoiding repeated builds for each stage.
- ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ฎ๐ป๐ฑ ๐๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ: Easier to audit and control what gets promoted to production.
- ๐ฆ๐ฐ๐ฎ๐น๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: Works well with approvals, gates, and automated testing.
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ ๐ช๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐:
- ๐๐ผ๐ฑ๐ฒ ๐ฝ๐๐๐ต๐ฒ๐ฑ ๐๐ผ ๐ฟ๐ฒ๐ฝ๐ผ
- CI Pipeline builds and publishes artifact
- CD Pipeline deploys to Dev (auto)
- QA and Prod deployments triggered with approvals
- Same artifact flows through each stage
stages:
- stage: Build jobs: ...
- stage: Deploy_Dev jobs: ...
- stage: Deploy_QA jobs: ...
- stage: Deploy_Prod jobs: ...
๐ช๐ต๐ฎ๐ ๐ฝ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐ฝ๐ฎ๐๐๐ฒ๐ฟ๐ป ๐ถ๐ ๐๐ผ๐๐ฟ ๐๐ฒ๐ฎ๐บ ๐ฐ๐๐ฟ๐ฟ๐ฒ๐ป๐๐น๐ ๐๐๐ถ๐ป๐ด, ๐ฎ๐ป๐ฑ ๐ต๐ผ๐ ๐ต๐ฎ๐ ๐ถ๐ ๐ต๐ฒ๐น๐ฝ๐ฒ๐ฑ ๐๐ผ๐๐ฟ ๐ฑ๐ฒ๐น๐ถ๐๐ฒ๐ฟ๐ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐?
Top comments (0)