Which practice automates building, testing, and deployment to ensure consistent delivery?

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Multiple Choice

Which practice automates building, testing, and deployment to ensure consistent delivery?

Explanation:
Automating building, testing, and deployment to ensure consistent delivery is achieved with CI/CD pipelines. These pipelines define a repeatable workflow where code changes trigger a process that builds the application, runs tests, and packages artifacts. Then the same artifacts are deployed to environments such as staging or production, either automatically or with minimal human intervention. This consistency comes from treating the build and release process as code, so every release goes through the same steps, uses versioned artifacts, and provides quick feedback on failures. In a Kubernetes context, a CI/CD pipeline can automatically build a container image from code, push it to a registry, and apply updated manifests or Helm charts to clusters, ensuring deployments follow the same steps every time. This reduces manual error, speeds up delivery, and makes releases auditable and repeatable. Code reviews improve quality but don’t automate the end-to-end delivery workflow. Manual deployment relies on human steps and is not reliable for consistent delivery. Feature flags control exposure but don’t automate the entire build–test–deploy cycle.

Automating building, testing, and deployment to ensure consistent delivery is achieved with CI/CD pipelines. These pipelines define a repeatable workflow where code changes trigger a process that builds the application, runs tests, and packages artifacts. Then the same artifacts are deployed to environments such as staging or production, either automatically or with minimal human intervention. This consistency comes from treating the build and release process as code, so every release goes through the same steps, uses versioned artifacts, and provides quick feedback on failures.

In a Kubernetes context, a CI/CD pipeline can automatically build a container image from code, push it to a registry, and apply updated manifests or Helm charts to clusters, ensuring deployments follow the same steps every time. This reduces manual error, speeds up delivery, and makes releases auditable and repeatable.

Code reviews improve quality but don’t automate the end-to-end delivery workflow. Manual deployment relies on human steps and is not reliable for consistent delivery. Feature flags control exposure but don’t automate the entire build–test–deploy cycle.

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