Automating tests and metrics gathering for Kubernetes and OpenShift (part 3)

This is the third of a series of three articles based on a session I held at Red Hat Tech Exchange EMEA 2018. They were first published on developers.redhat.com. In the first article, I presented the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, and I gave an overview of the setup. In the second article, we looked at building an observability stack. In this third part, we will see how the execution of the performance tests can be automated and related metrics gathered.

An example of what is described in this article is available in my GitHub repository.

Building an observability stack for automated performance tests on Kubernetes and OpenShift (part 2)

This is the second of a series of three articles based on a session I held at Red Hat Tech Exchange 2018 in EMEA. They were first published on developers.redhat.com. In the first article, I presented the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, and I gave an overview of the setup.

In this article, we will look at building an observability stack. In production, the observability stack can help verify that the system is working correctly and performing well. It can also be leveraged during performance tests to provide insight into how the application performs under load.

An example of what is described in this article is available in my GitHub repository.