1. Frontend Proxy Service
In the first design pattern, a frontend proxy service handles all client interactions with the storage account. Clients upload and download data through this proxy, which also manages authentication and business rule validations.
| Aspect | Description |
|---|---|
| Business Rule Control | The proxy can enforce additional validations and business rules during data operations. |
| Scalability | Scaling a single proxy service to manage high-volume or large data transfers may be challenging and costly. |
| Performance | High transaction volumes (e.g., hundreds of image uploads per second on an e-commerce platform) can create performance bottlenecks. |
Using a frontend proxy service can be ideal when strict business validations are critical and the overall data volume is moderate.
2. Lightweight SaaS Authentication Service
The second design pattern involves a lightweight service dedicated to SaaS authentication. This service authenticates the client and issues a SAS token that grants specific permissions—such as read or write access—to the Azure Storage account. The workflow is as follows:- The client requests access from the lightweight authentication service.
- The service verifies the client’s identity.
- Upon successful verification, the service returns a SAS token with defined permissions.

| Benefit | Explanation |
|---|---|
| Direct Storage Access | Clients use the SAS token to interact directly with Azure Storage, eliminating the performance overhead of a proxy. |
| Scalability | The direct access model scales much better for high-volume or large data transactions, such as uploading large video files. |
| Resource Efficiency | Reduces load on central servers by bypassing the proxy for every transaction. |
This method is especially effective for applications with unpredictable data loads, where dynamic token generation ensures both security and scalability.