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Scale and Secure Multi-Client Sub-Tenant Deployments
Discover how Salesforce Engineering securely scaled high-volume multi-client sub-tenant deployments using a multitenancy-by-multitenancy architecture for a healthcare transformation initiative.

, Senior Director, Technical Consulting, Salesforce

Product: Salesforce Platform
Role: Architect
Industry: Healthcare and Life Sciences
Topic: Salesforce on Salesforce
Session Level: Intermediate
Session Format: Theater
  • Tuesday, Sep 158:30 AM - 8:50 AM PDT
    (3:30 PM - 3:50 PM GMT)
    Moscone West, L1 Forest, Redwood Theater
    FIRST COME FIRST SEATED
Session Summary: This session explored the development and implementation of a scalable multi-tenant architecture within Salesforce to address operational challenges across industries, including healthcare, financial services, and automotive. By leveraging Experience Cloud and industry-specific solutions such as Health Cloud and Financial Services Cloud, the team identified limitations in scaling multiple orgs and proposed a new framework that enables hundreds of customers to operate within a single org. Key innovations included customized tenant IDs for data isolation, enhanced record-sharing frameworks, and identity management for users operating across multiple tenants, all while ensuring data security, scalability, and compliance. The session concluded with an overview of the risks mitigated, such as data skew, and the potential for integrating Data Cloud and MuleSoft to enhance this architecture further in real-world applications like Agentforce solutions and other enterprise use cases.
Key Takeaways:

• The multi-tenant architecture enables businesses to onboard hundreds of customers within a single Salesforce org using tenant IDs and public group frameworks, ensuring data isolation and operational efficiency.

• Innovations in identity management allow users working across multiple tenants to securely switch personas, mitigating risks of unauthorized data access and ensuring seamless operations.

• Challenges like data skew and governance limits were addressed through system owner strategies and middleware solutions such as MuleSoft, ensuring scalability and performance even in complex use cases like Data Cloud integrations.

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