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automated kubernetes development workflow

An automated Kubernetes development workflow refers to the process of streamlining the development and deployment of containerized applications on Kubernetes (k8s) by using tools that handle image building and deployment automatically^[400-devops-01-concepts-of-software-development-skaffold.md].

This approach allows developers to focus on writing code while the tooling manages the underlying [[Docker]] image creation and cluster updates^[400-devops-01-concepts-of-software-development-skaffold.md].

Key Tools

Skaffold

Skaffold is a primary tool used to facilitate this workflow^[400-devops-01-concepts-of-software-development-skaffold.md]. It handles the automation of: * Docker image auto-build: Automatically building container images from source code^[400-devops-01-concepts-of-software-development-skaffold.md]. * K8s local auto-deploy: Automatically deploying these images to a local Kubernetes cluster^[400-devops-01-concepts-of-software-development-skaffold.md].

Skaffold helps create an "Easy and Repeatable Kubernetes Development" environment^[400-devops-01-concepts-of-software-development-skaffold.md].

Buildpacks (pack)

The workflow can be further optimized using tools like pack, which enables building a container image from source code without the need for a Dockerfile^[400-devops-01-concepts-of-software-development-skaffold.md].

Workflow Execution

The automated workflow is typically initiated using a command like skaffold dev^[400-devops-01-concepts-of-software-development-skaffold.md]. This mode watches for code changes and triggers the build and deploy cycle automatically.

For local development, this workflow is often run on local Kubernetes environments such as Minikube^[400-devops-01-concepts-of-software-development-skaffold.md].

Sources

^[400-devops-01-concepts-of-software-development-skaffold.md]