Here is how you can deploy and scale distributed load testing using Docker containers and Kubernetes.

The overall visibility on your apps is now critical when it comes to cope with challenges related to load testing and more.

This also means that, you need henceforth to be able to model user behavior at scale to really get a feel for how your systems will perform under load.

It is clear that, when load testing your application, it is indispensable to establish some baseline understanding of your application’s performance and to setup and provision compute instances.

Google has released the solution paper and reference implementation that describe how you can deploy and scale distributed load testing using Docker containers and Kubernetes. It is possible to create a container cluster using Google Container Engine, deploy a Docker-ized load testing framework, and scale the clients as you continue testing.

You can also simulate user behavior and conduct distributed load testing using Google Cloud Platform and Kubernetes.