Being able to SSH directly into a compute job has the advantage of using all remote development tools such as using your IDE's debugger also for GPU jobs (VSCode, PyCharm, ...).
General problem:
There are 18 questions in total. You will need five RHEL 8 (or CentOS 😎 virtual machines to be able to successfully complete all questions.
Here is an automated exam environment deployment for Mac/Linux/Windows that deploys the practice exam environment for you, including IPA server/client installation and configuration. You can also use your own lab environment. Navigate to the respective repo you wish to use for this practice exam and follow the README instructions:
https://github.com/rdbreak/rhce8env, https://github.com/rdbreak/ansible27env, https://github.com/rdbreak/ansible8env.
This is a quick and dirty guide on how to deploy Selenium on Kubernetes.
It is required that you have Kubernetes cluster up and running. If you don't have one, GKE is pretty nifty: https://cloud.google.com/container-engine/
Deploy the Seleniumb Hub:
kubectl create -f selenium-hub-rc.yaml
kubectl create -f selenium-hub-svc.yaml
| # If you're looking into the C10M problem (10 million concurrent connections) | |
| # you might want to play with DPDK (Originally proprietry Intel, now open source) | |
| # | |
| # C10M: http://c10m.robertgraham.com/ | |
| # DPDK: http://dpdk.org/ | |
| # | |
| # This is a quick summary how to install dpdk on ubuntu | |
| # running inside virtualbox on a mac | |
| # On my Mac: |