## Use Cases for an Operator

- Database management: Operators can be used to manage and automate the deployment, scaling, and management of databases running on Kubernetes. For example, an operator could manage the deployment of a MySQL or PostgreSQL database cluster and perform tasks like scaling, backups, and upgrades.

- Application deployment: Operators can be used to automate the deployment and management of complex applications running on Kubernetes. For example, an operator could manage the deployment of a containerized web application, handle rolling upgrades, and perform auto-scaling based on metrics like CPU usage.

- Monitoring and logging: Operators can be used to manage the deployment and configuration of monitoring and logging tools like Prometheus or Elasticsearch. Operators can automate tasks like configuring monitoring alerts, collecting and aggregating logs, and performing backups.

- Machine learning workflows: Operators can be used to manage the deployment and scaling of machine learning workflows and models. For example, an operator could manage the deployment of a TensorFlow or PyTorch cluster and handle tasks like scaling, model training, and deployment.

- Infrastructure management: Operators can be used to manage the deployment and configuration of infrastructure resources like load balancers, storage volumes, and network policies. For example, an operator could manage the deployment of a load balancer and perform tasks like scaling and routing traffic.