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+Flyte’s interaction with blob storage occurs through several key components and API calls, especially when executing workflows remotely. Here's an overview to help you understand how `pyflyte run --remote` interacts with blob storage and where keys or credentials are involved.
+
+1. Blob Storage Usage in `pyflyte run --remote`:
+   - When you execute a workflow remotely with `pyflyte run --remote`, the client communicates with FlyteAdmin to get a signed URL for uploading the workflow's inputs to blob storage. This URL is then used by the client to upload data directly to storage.
+
+2. CreateUploadLocation API Call:
+   - FlyteAdmin handles the `CreateUploadLocation` call, generating pre-signed URLs that allow users or services to upload inputs to storage without exposing sensitive keys directly. This ensures controlled and secure access to storage resources.
+
+3. Input/Output Handling in Native and Raw Container Tasks:
+   - For native Flyte tasks, inputs and outputs are uploaded/downloaded through FlyteAdmin using appropriate credentials configured on the platform.
+   - In container-based tasks managed by Flyte’s Copilot component, similar blob storage access occurs, but Copilot handles the interactions based on container-level configurations. This allows tasks to offload large data efficiently.
+
+4. Default Configuration and Credentials Management:
+   - Flyte commonly uses IRSA (IAM Roles for Service Accounts) in AWS environments to handle authentication to blob storage without relying on long-term credentials. However, other configurations can also be used (e.g., environment variables or secret management systems).
+
+5. Customization and Flexibility:
+   - Since Flyte supports a variety of environments, customizing storage access patterns may involve configuring the FlyteAdmin service and plugins. This ensures compatibility across clouds and storage systems beyond the defaults.
+
+These components come together to ensure data flows securely and efficiently between Flyte services and storage endpoints. For a deeper dive, including the internal logic of FlyteAdmin and details about `pyflyte`, you can explore Flyte’s official documentation on [FlyteAdmin API interaction](https://docs.flyte.org/en/latest/concepts/data_management.html) and the command-line reference for `pyflyte` and `flytectl` commands【8】【9】.
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