Kubernetes clusters are environments designed for projects that require distributed and scalable applications based on containers.
They are particularly suitable for:
- Data analysis and machine learning pipelines;
- Complex web applications and distributed services;
- Virtual laboratories for teaching.
- Remote laboratories with hundreds or thousands of concurrent users (e.g., advanced teaching platforms)
- Reproducible scientific workflows and interactive notebooks
- AI/ML projects using tools such as Kubeflow
Kubernetes clusters are sized according to the project and provided as turnkey solutions; after deployment, administrative management remains the user’s responsibility, freeing them from managing the underlying infrastructure.