What is the purpose of automation in a Cloud Native application?

What is the purpose of automation in a Cloud Native application?

• A. To provide speed and agility through automated processes that deploy infrastructure and applications rapidly and update frequently.
• B. To replace all human developers with bots.
• C. To increase the time required to deploy infrastructure.
• D. To hard-code all configurations for stability.

Answer: (A)

Automation in a Cloud Native app is about removing manual steps to deliver software and infrastructure. It enables speed and agility by using automated pipelines to build, test, deploy, and update both infrastructure and applications. With declarative configurations and infrastructure as code, changes can be applied consistently across environments and rolled back safely if needed. In Kubernetes contexts, this shows up as manifest-driven deployments, Helm charts, operators, and CI/CD pipelines that continuously push updates, monitor health, and recover from failures—mostly without manual intervention. This approach reduces human error, accelerates delivery, and supports frequent iteration, which is essential for modern cloud-native systems. Replacing all human developers with bots isn’t the aim; automation augments the work of people to work faster and more reliably. Increasing the time to deploy contradicts the purpose of automation, and hard-coding configurations is brittle and hard to maintain compared with dynamic, automated, declarative configurations.

Automation in a Cloud Native app is about removing manual steps to deliver software and infrastructure. It enables speed and agility by using automated pipelines to build, test, deploy, and update both infrastructure and applications. With declarative configurations and infrastructure as code, changes can be applied consistently across environments and rolled back safely if needed. In Kubernetes contexts, this shows up as manifest-driven deployments, Helm charts, operators, and CI/CD pipelines that continuously push updates, monitor health, and recover from failures—mostly without manual intervention. This approach reduces human error, accelerates delivery, and supports frequent iteration, which is essential for modern cloud-native systems.

Replacing all human developers with bots isn’t the aim; automation augments the work of people to work faster and more reliably. Increasing the time to deploy contradicts the purpose of automation, and hard-coding configurations is brittle and hard to maintain compared with dynamic, automated, declarative configurations.