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S3 / GCS / Azure Blob Storage

Object storage: flat files, CSVs, Parquet, exports, and the data lake layer.

Access mode: Read-only (typically)

Required information

FieldDetails
Bucket/Container name(s)S3 bucket, GCS bucket, or Azure Blob container names.
Prefix/path scopeSpecific prefixes if not the entire bucket (e.g., data/exports/).
Cloud credentialsAWS: IAM role ARN. GCP: service account. Azure: service principal or SAS token.
File formatsWhat to expect: CSV, Parquet, JSON, Avro, ORC, etc. Affects parsing config.

Network considerations

S3: HTTPS to s3.<region>.amazonaws.com. VPC endpoint (Gateway) keeps traffic on AWS backbone.

GCS: HTTPS to storage.googleapis.com.

Azure Blob: HTTPS to <account>.blob.core.windows.net. Private Endpoint available.

Bucket policies: Ensure Flume’s identity is allowed in bucket/container-level access policies.

Credential and auth management

Preferred: IAM role assumption (AWS). Cross-account role with s3:GetObject, s3:ListBucket.

Preferred: GCP service account. Storage Object Viewer role.

Preferred: Azure service principal. Storage Blob Data Reader role.

Azure SAS tokens: Acceptable for time-limited access. Set appropriate expiry and IP restrictions.

SSE/KMS: If objects are encrypted with CMK, Flume’s identity needs kms:Decrypt permission.

Validation checks

CheckMethodExpected result
S3 accessaws s3 ls s3://<bucket>/<prefix>/Lists objects
GCS accessgsutil ls gs://<bucket>/<prefix>/Lists objects
Azure accessaz storage blob list --container-name <c> --prefix <p>Lists blobs
Read testDownload a sample file and parseFile content readable
Permission checkAttempt write (should fail for read-only)Access denied confirms read-only

Every connection starts from the pre-engagement checklist and goes through the universal validation protocol before production sign-off.