The document outlines best practices for implementing CI/CD in Salesforce DX, detailing the four key stages: source, build, test, and deployment. It emphasizes automation's role in validating deployment packages and conducting tests, triggered by changes in code repositories. Each stage focuses on source control, creating executable instances, automated testing to catch defects, and final deployment to staging and production environments.

1. CI/CD Best Practices for Salesforce DX
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2. • Automation is used in this process to validate deployment packages, run
tests, and move work items along the pipeline. Individual CI jobs can be
set up using a Salesforce DevOps solution such as AutoRABIT, Gearset or
a standard automation tool such as Jenkins. The continuous integration
in DevOps processes runs on a regular basis or is triggered when
branches in Git merge, and they can conduct tests before deployments
across version control and Salesforce environments.
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Components of CI/CD

3. ImplementationofCI/CDwithSalesforceDX
▪ Implementation of the Salesforce CI/CD pipeline is separated into four
stages:
▪ Source
▪ Build
▪ Test
▪ Deployment
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4. Source
It is the first stage of Salesforce CI/CD workflow. Here the CI/CD pipeline in
DevOps will be activated by any change in the program or a predefined flag
in the code repository. This level is all about source control, including
version control and change tracking.
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This stage of the pipeline converts the source code and all of its
dependencies into an executable/runnable instance of the development.
This stage addresses software builds as well as other types of buildable
objects such as Docker containers.
Build

5. Test
The test stage includes all automated testing to validate the software's
behavior. This stage's purpose is to keep software defects from reaching
end users. This stage might include a variety of methods of testing, ranging
from integration testing to functional testing. This stage will also reveal any
flaws in the product.
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This is the Salesforce CI/CD pipeline's final stage. The package is now ready
to be deployed after passing all of the preceding phases. At this point, the
package is deployed to appropriate environments, first to a staging
environment for additional quality assurance (QA) and then to a production
environment.
Deploy

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