Table of Contents
Table of Contents
Further Reading
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What Does Command Line Interface (CLI) Mean?
A command line interface (CLI) is a text-based tool for interacting with a computer system by typing commands. Developers and operators use a terminal instead of a graphical interface.
Common actions include configuring systems, running scripts, and managing resources.
CLI vs. GUI
Why CLIs Matter for Developers
- Efficiency: tasks run with a single command or script
- Automation: repetitive workflows become scripts
- Precision: exact control over complex operations
- Portability: works across operating systems and environments
- Pipeline-friendly: CI/CD jobs call CLI commands directly
Common Uses of a CLI
- Build and deploy: run build, deployment, and test commands
- File management: navigate and manage files and directories
- Scripting: automate workflows with shell scripts
- Cloud and APIs: interact with cloud services and APIs
- Infrastructure: manage tools like Kubernetes and Docker
Real-World Examples
- Git: developers clone, commit, and push code
- kubectl: DevOps engineers manage Kubernetes resources
- AWS CLI and Azure CLI: cloud admins deploy and configure infrastructure
- Testkube CLI: a B2B SaaS QA team triggers test workflows from scripts and pipelines
Here is what running a Testkube workflow from the terminal looks like:
How the CLI Works with Testkube
The Testkube CLI connects terminals and pipelines to testing in Kubernetes. Users can:
- Manage tests: create, run, and manage tests in Kubernetes clusters
- Trigger workflows: start functional, load, and integration test workflows
- Follow results: stream logs and see outcomes in real time
- Configure without a UI: set up workflows straight from the terminal
- Automate: call the CLI from CI/CD pipelines or local scripts
Best Practices for Using a CLI in Testing
- Script common tasks: turn frequent commands into reusable scripts
- Use tokens in pipelines: authenticate with scoped API tokens, not personal logins
- Pin versions: keep CLI versions consistent across machines and runners
- Follow logs on failure: stream output to debug faster
- Pair with a dashboard: use the CLI to act and the UI to explore trends



