Ensuring the stability and correctness of Kubernetes infrastructure and application deployments can be challenging due to the dynamic and complex nature of containerized environments. Traditional manual testing methods are time-consuming, error-prone, and insufficient for validating the integration and behavior of resources like pods, services, and deployments. 

There is a need for an automated, scalable, and reliable testing framework that integrates seamlessly into DevOps workflows to validate Kubernetes configurations, prevent deployment issues, and ensure system reliability across different environments.

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