This is the first article in a series of three articles based on a session I hold at Red Hat Tech Exchange EMEA. In this first article, I present the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, give an overview of the setup, and discuss points that are worth considering when executing and analyzing performance tests. I will also say a few words about performance tuning.

In the second article, we will look at building an observability stack, which—beyond the support it provides in production—can be leveraged during performance tests. Open sources projects like Prometheus, Jaeger, Elasticsearch and Grafana will be used for the purpose. The third article will present the details for building an environment for performance testing and automating the execution with JMeter and Jenkins.

Continue reading “Leveraging OpenShift or Kubernetes for automated performance tests (part 1)”