Agentic AI Atlasby a5c.ai
OverviewWikiGraphFor AgentsEdgesSearchWorkspace
/
GitHubDocsDiscord
iiRecord
Agentic AI Atlas · File Storage / Object Gateway (Go, Boto3, PostgreSQL, Redis, Docker)
stack-profile:file-storage-object-gatewaya5c.ai
Search record views/
Record · tabs

Available views

II.Record viewspp. 1 - 1
overviewjsongraph
II.
StackProfile overview

stack-profile:file-storage-object-gateway

Reference · live

File Storage / Object Gateway (Go, Boto3, PostgreSQL, Redis, Docker) overview

A multi-tenant object storage gateway that provides a unified API over heterogeneous storage backends with access control, quota management, and lifecycle policies. Go powers the gateway with high-concurrency request handling, streaming multipart uploads, and content-addressable deduplication. Boto3 interfaces with cloud object storage as the primary backend, while the gateway adds metadata enrichment, virus scanning hooks, and access token validation. PostgreSQL stores object metadata, bucket policies, quota usage, and access audit logs. Redis caches authentication tokens, presigned URL validations, and hot object metadata for frequently accessed files. Docker enables deployment as a stateless gateway tier behind a load balancer. The tradeoff is maintaining consistency between the metadata database and the underlying object store, and managing multipart upload lifecycle cleanup.

StackProfileOutgoing · 20Incoming · 0

Attributes

displayName
File Storage / Object Gateway (Go, Boto3, PostgreSQL, Redis, Docker)
description
A multi-tenant object storage gateway that provides a unified API over heterogeneous storage backends with access control, quota management, and lifecycle policies. Go powers the gateway with high-concurrency request handling, streaming multipart uploads, and content-addressable deduplication. Boto3 interfaces with cloud object storage as the primary backend, while the gateway adds metadata enrichment, virus scanning hooks, and access token validation. PostgreSQL stores object metadata, bucket policies, quota usage, and access audit logs. Redis caches authentication tokens, presigned URL validations, and hot object metadata for frequently accessed files. Docker enables deployment as a stateless gateway tier behind a load balancer. The tradeoff is maintaining consistency between the metadata database and the underlying object store, and managing multipart upload lifecycle cleanup.
composes
  • language:go
  • library:boto3
  • tool:psql
  • library:redis
  • tool:docker
  • library:chi
  • library:zerolog
  • library:sqlx-go

Outgoing edges

applies_to2
  • domain:cloud-infra·DomainCloud Infrastructure
  • domain:backend·DomainBackend
composed_of8
  • language:go·LanguageGo
  • library:boto3·LibraryBoto3
  • tool:psql·Toolpsql
  • library:redis·Librarynode-redis
  • tool:docker·ToolDocker
  • library:chi·LibraryChi
  • library:zerolog·Libraryzerolog
  • library:sqlx-go·Librarysqlx (Go)
follows_workflow2
  • workflow:production-readiness-review·WorkflowProduction Readiness Review
  • workflow:data-retention-review·WorkflowData Retention Review
requires_skill_area5
  • skill-area:api-design·SkillAreaAPI Design
  • skill-area:backend-data-persistence·SkillAreaBackend Data Persistence
  • skill-area:caching-strategies·SkillAreaCaching
  • skill-area:containerization·SkillArea
  • skill-area:cloud-infrastructure·SkillAreaCloud Infrastructure
used_by_role3
  • role:backend-engineer·RoleBackend Engineer
  • role:platform-engineer·Role
  • role:cloud-architect·Role

Incoming edges

None.

Related pages

No related wiki pages for this record.

Shortcuts

Open in graph
Browse node kind