Test Case

A defined scenario specifying inputs, actions, and expected outcomes. Testkube executes test cases via its orchestrated workflows.

Table of Contents

What Does Test Case Mean?

A test case is a specific set of conditions or steps designed to verify that a feature, function, or system behaves as expected. Each test case includes the inputs to be provided, the actions to be performed, and the expected results. Together, they ensure that software operates correctly and meets quality requirements.

Why Test Cases Matter

Test cases are the foundation of any testing strategy. They make testing measurable, repeatable, and traceable across environments and releases. Well-defined test cases help teams:

  • Validate that new code changes don’t break existing functionality.
  • Maintain consistency across manual and automated testing.
  • Identify edge cases and prevent regressions.
  • Improve collaboration between developers, QA, and DevOps by providing clear expectations and outcomes.

By organizing and standardizing how tests are written and executed, teams can scale their quality assurance processes efficiently.

How Test Cases Work with Testkube

  • Centralized Execution: Testkube executes test cases inside Kubernetes clusters, ensuring consistent and isolated environments.
  • Multi-Framework Support: Run test cases built with Postman, Cypress, Playwright, K6, or custom scripts—all orchestrated by Testkube.
  • Parameterized Inputs: Easily define variables or environment settings so the same test case can run across different clusters or conditions.
  • Version Control & Traceability: Store and manage test case definitions in Git for full visibility and change tracking.
  • Aggregated Results: View outcomes, logs, and artifacts from multiple test cases in one unified dashboard.

Frequently Asked Questions (FAQs)

Testkube Test Cases FAQ
Each test case includes a description, input data, execution steps, and the expected outcome.
Testkube runs each test case as a Kubernetes workload using defined workflows and test configurations.
Yes. Parameterization allows a single test case to be reused across staging, production, or multi-cluster setups.
Yes. Test cases can be managed via Git repositories for version control and auditability.

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