Kubernetes, Docker, DevOps, Python, Data Science.
operating on a massive scale. In a production setting, it’s crucial to oversee the containers hosting applications and guarantee uninterrupted operation. For instance, should a container fail, another should seamlessly take its place. Wouldn’t it be simpler if such management were automated by a