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docs: Storage page refactor (#9402)
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docs/netlify.toml

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@@ -75,6 +75,60 @@ from = "/*"
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to = "/404.html"
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status = 404
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[[redirects]]
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from = "/storage#Amazon-S3"
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to = "/storage_s3"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Set-up-an-S3-connection-with-IAM-role-access"
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to = "/storage_s3#Amazon-S3-with-IAM-role"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Google-Cloud-Storage"
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to = "/storage_gcp"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Google-Cloud-Storage-with-Workload-Identity-Federation-WIF"
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to = "/storage_gcp#Google-Cloud-Storage-with-Workload-Identity-Federation-WIF"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Microsoft-Azure-Blob-storage"
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to = "/storage_azure"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Azure-Blob-Storage-with-Service-Principal-authentication"
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to = "/storage_azure#Azure-blob-storage-with-Service-Principal"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Redis-database"
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to = "/storage_redis"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Local-storage"
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to = "/storage_local"
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status = 301
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force = true
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[[redirects]]
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from = "/storage#Databricks-Files-UC-Volumes"
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to = "/storage_databricks"
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status = 301
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force = true
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[dev]
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command = "yarn start"
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targetPort = 4000

docs/source/guide/ml.md

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@@ -178,10 +178,10 @@ Label Studio tasks can have multiple sources of resource files:
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* Files that have been uploaded to Label Studio using the **Import** action.
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Example: `task['data'] = {"image": "https://ls-instance/data/upload/42/photo_1.jpg"}`
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* Files added through a [local storage connection](storage#Local-storage).
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* Files added through a [local storage connection](storage_local).
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Example: `task['data'] = {"image": "https://ls-instance/data/local-files/?d=folder/photo_1.jpg"}`
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* Files added through a [cloud storage](storage) (S3, GCS, Azure) connection.
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* Files added through a [cloud storage](storage) (S3, GCS, Azure) connection.
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Example: `task['data'] = {"image": "s3://bucket/prefix/photo_1.jpg"}`
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When Label Studio invokes the `predict(tasks)` method on an ML backend, it sends tasks containing data sub-dictionaries with links to resource files.

docs/source/guide/security.md

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@@ -78,10 +78,10 @@ Data in Label Studio is stored in one or two places, depending on your deploymen
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!!! info Tip
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There are several advanced security options for AWS and GCP storage, including:
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* [Application Default Credentials for GCP](storage#Application-Default-Credentials-for-enhanced-security-for-GCS) (on-prem only)
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* [IP filtering for GCP storage](storage#IP-filtering-for-enhanced-security-for-GCS)
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* [IP filtering and VPN for S3](storage#IP-Filtering-and-VPN-for-Enhanced-Security-for-S3-Storage)
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There are several advanced security options for AWS and GCP storage, including:
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* [Application Default Credentials for GCP](storage_gcp#Application-Default-Credentials-for-enhanced-security-for-GCS) (on-prem only)
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* [IP filtering for GCP storage](storage_gcp#IP-filtering-for-enhanced-security-for-GCS)
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* [IP filtering and VPN for S3](storage_s3#IP-filtering-and-VPN-for-enhanced-security-for-S3-storage)
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### Secure database access
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docs/source/guide/storage.md

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