# AWS Workshop

The two greatest challenges enterprises face while solving for multi-tenancy in Kubernetes is:

- **Lack of developer self-service:** Without namespace as a service capabilities, developers have to go through the typical and lengthy devops ticketing process.
- **Disparate Governance Controls:** In order to enable governance controls in a shared cluster environment, platform teams need to integrate different open source tooling that can be difficult to integrate with an existing multi-tenancy mode

In this workshop, Amazon EKS users will streamline and simplify multi-tenancy through the management, automation and governance controls in the Rafay platform. By the end of the workshop you will walk away knowing how to:

- Establish developer self-service
- Enable different multi-tenancy constructs – fixed namespaces & namespace as a service
- Onboard different development teams
- Share a single cluster between developers/users while maintaining proper policies
- Gain insight into developer access by monitoring Rafay’s continuous audit log
- Fully automate multi-tenancy through Rafay’s CLI automation and/or GitOps
- Enhance the developer experience with Rafay Backstage plugins

Please bring your own laptop for a hands-on, deep dive into multi-tenancy. Light breakfast and boxed lunch will be provided.

## Rafay's Valued Partnerships:

## Featured Resources

**Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud**  
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

[Learn More](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)

**GPU cloud evaluation report**  
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

[Learn More](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)

**From GPUs to Revenue: A Practical Guide to AI Factory Builds**  
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.

[Learn More](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)

**AI Token Factory**  
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.

[Learn More](/content/resources/datasheets/ai-token-factory/index.html)