Update to Domino Data Lab

{
  "description": "Connect Domino workloads to external data sources including AWS S3 (via Mountpoint CSI driver), credential propagation with AWS IRSA and Azure Entra ID, and External Data Volumes. Use when configuring S3 access, setting up credential propagation, or connecting to cloud data sources from Domino.",
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      "relative_path": "AWS-IRSA.md",
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      "relative_path": "AZURE-CREDENTIALS.md",
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  "name": "domino-data-connectivity",
  "skill_md_contents": "---\nname: domino-data-connectivity\ndescription: Connect Domino workloads to external data sources including AWS S3 (via Mountpoint CSI driver), credential propagation with AWS IRSA and Azure Entra ID, and External Data Volumes. Use when configuring S3 access, setting up credential propagation, or connecting to cloud data sources from Domino.\n---\n\n# Domino Data Connectivity Skill\n\nThis skill provides comprehensive knowledge for connecting Domino workloads to external data sources, including AWS S3, Azure storage, and credential propagation.\n\n## Safety Rules\n\nThe setup guides in this skill are platform-administrator procedures that change cloud IAM and\nKubernetes cluster state. When using them:\n\n- **Explain, don't execute.** Show `aws iam`, `eksctl`, `helm`, `kubectl`, `az` commands and\n  IAM/RBAC policies for the user to review and run. Do not run them yourself unless the user\n  explicitly asks you to run that specific command.\n- **Least privilege.** Scope every policy to named buckets, endpoints, or resources. Never\n  propose `\"Resource\": \"*\"` or wildcard actions such as `s3:*`.\n- **No secrets in output.** Never print, log, or echo access keys, tokens, or client secrets, and\n  never ask the user to paste one into the chat.\n- **Read-only troubleshooting.** Prefer `get`/`describe` commands over `exec` into running pods.\n\n## Key Concepts\n\n### Data Access Options in Domino\n\n| Option | Use Case |\n|--------|----------|\n| **Datasets** | Project-level data storage |\n| **Data Sources** | External database connections |\n| **External Data Volumes (EDV)** | Mount external storage as volumes |\n| **S3 Mountpoint** | Direct S3 access as file system |\n| **Credential Propagation** | Pass user identity to cloud services |\n\n### Credential Propagation Methods\n\n| Method | Cloud | Description |\n|--------|-------|-------------|\n| **IRSA** | AWS | IAM Role for Service Accounts via OIDC |\n| **Azure Entra ID** | Azure | User-based credential propagation |\n\n## Related Documentation\n\n- [S3-MOUNTPOINT.md](./S3-MOUNTPOINT.md) - AWS S3 as local file system\n- [AWS-IRSA.md](./AWS-IRSA.md) - AWS IAM Role for Service Accounts\n- [AZURE-CREDENTIALS.md](./AZURE-CREDENTIALS.md) - Azure Entra ID integration\n\n## Quick Start\n\n### Accessing S3 Data\n\nWith Mountpoint S3 configured, access S3 as a local file system:\n\n```python\nimport pandas as pd\n\n# S3 data appears as local files\ndf = pd.read_parquet(\"/mnt/s3-data/datasets/sales.parquet\")\n```\n\n### Using IRSA for AWS Services\n\nWith IRSA configured, AWS SDK uses automatic credentials:\n\n```python\nimport boto3\n\n# No explicit credentials needed - IRSA provides them\ns3 = boto3.client('s3')\nresponse = s3.list_objects_v2(Bucket='my-bucket')\n```\n\n### Accessing External Data Volumes\n\nEDVs are mounted at configured paths:\n\n```python\n# Read from external volume\nwith open(\"/mnt/external-data/config.json\") as f:\n    config = json.load(f)\n```\n\n## When to Use Each Option\n\n### Use S3 Mountpoint When:\n- Working with large datasets stored in S3\n- Need file system interface to S3\n- Want to avoid EFS costs for large data\n- Require multi-region data access\n\n### Use IRSA When:\n- Need AWS service access from Domino workloads\n- Policy prohibits long-lived credentials\n- Require user-level audit trails\n- Need cross-account role assumption\n\n### Use Azure Entra When:\n- Working with Azure data services\n- Need OAuth-based authentication\n- Require user-level access control\n- Need centralized RBAC\n\n## Blueprint References\n\n- [S3 Mountpoint Blueprint](https://domino.ai/resources/blueprints/transforming-s3-into-local-storage)\n- [AWS IRSA Blueprint](https://domino.ai/resources/blueprints/aws-irsa)\n- [Azure Credential Propagation Blueprint](https://domino.ai/resources/blueprints/domino-azure-credential-propagation)\n\n## GitHub Repository\n\nImplementation templates available at:\nhttps://github.com/dominodatalab/domino-blueprints\n"
}