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4a30c41610
add-admin-and-worker-to-helm-charts
add-ec-vacuum
add_fasthttp_client
add_remote_storage
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also-delete-parent-directory-if-empty
avoid_releasing_temp_file_on_write
changing-to-zap
collect-public-metrics
create-table-snapshot-api-design
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dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5
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detect-and-plan-ec-tasks
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fasthttp
filer1_maintenance_branch
fix-GetObjectLockConfigurationHandler
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ftp
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java-client-replication-configuration
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master
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dev
helm-3.65.1
v0.69
v0.70beta
v3.33
${ noResults }
1 Commits (4a30c41610f85ee405c1bbf044f6ff79c8cc98ad)
| Author | SHA1 | Message | Date |
|---|---|---|---|
chrislu
|
ce17743275 |
feat: Implement distributed IAM role storage for multi-instance deployments
PROBLEM SOLVED:
- Roles were stored in memory per-instance, causing inconsistencies
- Sessions and policies had filer storage but roles didn't
- Multi-instance deployments had authentication failures
IMPLEMENTATION:
- Add RoleStore interface for pluggable role storage backends
- Implement FilerRoleStore using SeaweedFS filer as distributed backend
- Update IAMManager to use RoleStore instead of in-memory map
- Add role store configuration to IAM config schema
- Support both memory and filer storage for roles
NEW COMPONENTS:
- weed/iam/integration/role_store.go - Role storage interface & implementations
- weed/iam/integration/role_store_test.go - Unit tests for role storage
- test/s3/iam/iam_config_distributed.json - Sample distributed config
- test/s3/iam/DISTRIBUTED.md - Complete deployment guide
CONFIGURATION:
{
'roleStore': {
'storeType': 'filer',
'storeConfig': {
'filerAddress': 'localhost:8888',
'basePath': '/seaweedfs/iam/roles'
}
}
}
BENEFITS:
- ✅ Consistent role definitions across all S3 gateway instances
- ✅ Persistent role storage survives instance restarts
- ✅ Scales to unlimited number of gateway instances
- ✅ No session affinity required in load balancers
- ✅ Production-ready distributed IAM system
This completes the distributed IAM implementation, making SeaweedFS
S3 Gateway truly scalable for production multi-instance deployments.
|
3 months ago |