Deployment Platforms and Data Residency
Explore the key factors in selecting deployment platforms for Claude-powered systems. Understand how data residency, compliance certifications, existing cloud commitments, latency, and billing influence platform choice and model availability. This lesson helps you make early, informed architectural decisions that align platform and model selection to meet regulatory and operational constraints.
We'll cover the following...
- Three surfaces, one set of models
- Data residency and regional availability
- Existing cloud commitments and procurement
- Compliance posture as a platform decision
- Why platform and model selection constrain each other
- Latency and billing as secondary but real factors
- Anti-patterns
- Exercise: Choose the platform
- What’s next?
Model tier is chosen per component. The next decision sits underneath it and is easy to treat as an afterthought: which platform actually serves those model calls. The three options, direct access through the Anthropic API, Amazon Bedrock, or Google Vertex AI, all reach the same underlying models, so it is tempting to treat the choice as interchangeable plumbing an engineer picks based on whatever console they already know. It is not interchangeable. The platform decision determines where data physically resides, which compliance certifications the ...