Summary
This blog post explains how to effectively run performance tests using the open-source benchmark-runner framework within Kubernetes and Red Hat OpenShift environments. It emphasizes the importance of performance testing at scale and provides detailed guidelines on setting up various workloads, including stress-testing hardware, networking, storage, and databases. The post details specific configurations, commands, and metrics visualization using ElasticSearch and Grafana, targeting cluster administrators and performance engineers aiming for optimization and reliability in their deployments.