Building Self-Healing Validation Pipelines: Automation Testing Across Servers, Storage, Virtualization, Windows, and Linux

Abstract

Modern company infrastructure is rarely built on one technology, which makes validation more difficult because servers, storage solutions, virtualization frameworks, Windows environments, as well as Linux activities have to work together. Traditional automation pipelines can detect errors, but they often require human intervention to fix these issues, recover environments, and restart interrupted tests, resulting in extended validation times and inconsistent findings. This paper proposes a self-repairing validation pipeline to improve infrastructure testing robustness, flexibility and autonomy. The proposed approach incorporates automatic test execution, continuous health monitoring, failure detection, root-cause analysis, recovery procedures, environment restoration and intelligent test re-execution into one validation framework. The paper presents a case study of a diversified business testing environment to assess the reaction of the pipeline to common challenges: server downtimes, storage connection failures, virtual machine instabilities, operating system service interruptions, and test execution errors. The assessment measures the recovery time, the pace at which tests are executed, recurrence of failures, manual effort, availability of infrastructure, along with the effectiveness of end-to-end validation. The findings imply that the incorporation of self-healing capabilities into validation procedures has the potential to reduce duplicate troubleshooting, hasten recovery from expected infrastructure failures, and promote consistency in sophisticated testing scenarios. Our work shows how automation may go beyond simple failure detection to build validation pipelines that proactively recover, keep testing, and provide engineers with better insights into how to resolve issues that require human interaction.