If you need to set up a multi-stage Jenkins pipeline build test deploy how would you structure it for maximum efficiency Can you share a Jenkinsfile example with stages optimized for CI CD

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If you need to set up a multi-stage Jenkins pipeline (build, test, deploy), how would you structure it for maximum efficiency? Can you share a Jenkinsfile example with stages optimized for CI/CD?

This question focuses on designing efficient multi-stage Jenkins pipelines that streamline the CI/CD process by separating build, test, and deploy stages. It seeks examples of optimized Jenkinsfile structures that enhance clarity, reduce redundancy, and improve overall pipeline performance.
Nov 15 in DevOps Tools by Anila
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1 answer to this question.

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In order to set up a multi-stage Jenkins pipeline for executing the build, test, and deployment effectively, the pipeline must be designed in such a way as to make all irrelevant steps unnecessary whenever possible, with CI/CD flow as efficient as possible. Here's how you should do that.

Main Considerations for Efficiency:
Parallelism: Run tests in parallel to save time.
Caching: Wherever possible, cache dependencies between the stages
Conditional Execution: Do not run parts of the pipeline if you meet certain conditions i.e., if there is a test failure, you are not going to attempt to deploy here.
Artifacts Handling: Archive important artifacts (such as build outputs, test reports).
Notification: Only notify when necessary, like in case of a failed build.
Example Jenkinsfile:

Pipeline Stage Breakdown:
Checkout: Get the latest source code from version control (for example, Git).
Build: Code compilation and packaging: build Docker image, compile the code, etc.
Unit Tests: Test unit-wise, in order to validate individual components.
Integration Tests: Test system-level, as a whole, ensuring the entire system works.
Build Docker Image: Only if you plan to use docker in your project, build the Docker image here
Deploy to Staging: Deploy to staging environment for further testing.
Deploy to Production: Deploying to production is done only from the main branch (it is controlled by the when condition)
Cleanup: Delete any temporary files or Docker images that you created as part of this exercise to free up space if you want
Efficiency Optimizations
Parallelism: Both unit and integration tests are run parallelly for quickened pipeline.
Conditional Deployment: Deployment to production only occurs on the primary branch, which avoids unnecessary deployments.
Failure Notifications: Failures can be incorporated in the post section for better monitoring.
This architecture is beneficial as it maintains a clear separation of concerns, faster feedback loops, and proper usage of resources in a CI/CD pipeline.
 

answered Nov 25 by Gagana

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