The implemented gym-hpa is a custom OpenAi Gym environment for the training of Reinforcement Learning (RL) agents for auto-scaling research in the Kubernetes (K8s) platform.
Two environments exist based on the Redis Cluster and Online Boutique applications.
Both RL environments have been designed: actions, observations, reward function.
Please check the run.py file to understand how to run the framework.
To run in the real cluster mode, you should add the token to your cluster here
To run the code, go to the folder policies/run and run:
python run.pyAdditional arguments can be passed while running run.py. Please check here run.py.
If you want to contribute, please contact:
Lead developer: Jose Santos
For questions or support, please use GitHub's issue system.
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