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Introduction
Deployment Models
Well-Architected Pillars
Reference Architectures
CUJ/Mockups
Next Steps & Resources
Appendix
Introduction
Overview
What Built On Databricks Means
Key Outcomes
Deployment Models
Overview
SaaS
Selecting a Workspace Model: Multi-Tenant or Per-Customer
Managed Hosted
Sidecar / Embedded AI Patterns
Customer Managed Workspace
Well-Architected Pillars
Governance
Identity & Access
Data Isolation
Secure Sharing
Multi-Tenancy
Workload Isolation
Platform Scale
CI/CD Automation
Tenant Management
Observability
Cost Management
Reference Architectures
Shared Workspace SaaS
Per-Tenant Workspace
Managed Hosted Product
AI Application Architecture
Real-Time Data Product
CUJ/Mockups
Common CUJs
Next Steps & Resources
Starter Kits and Templates
Architecture Blueprints
Program Alignment
Appendix
Integration Requirements
Building Integrations
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platform scale
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Platform Scale
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Designing Around Platform Scale Limits and Capacity Constraints
Section titled “Designing Around Platform Scale Limits and Capacity Constraints”
TBD
