Running distributed load tests on Kubernetes using the Grafana k6 tool involves deploying and managing k6 test scripts within a Kubernetes cluster, leveraging the Kubernetes operator pattern. This allows for automated management of distributed test jobs, which is beneficial for users who prefer to run tests within their private network or maintain consistency across their Kubernetes-managed infrastructure. The process includes setting up a Kubernetes cluster, deploying the k6 operator, creating and configuring test scripts, and using custom resources to initiate tests. Despite simplifying distributed load testing, users must address challenges like metric aggregation, threshold evaluation, and resource allocation. The k6 operator supports cloud output for metric aggregation, though it increases the overall cost of ownership due to the need for self-hosting and data management. The Grafana Cloud k6 service offers an alternative for those who prefer a managed solution, providing a streamlined approach to performance testing.