Catalog
concept#Platform#Architecture#Data#Reliability

Object Storage

A scalable architecture for storing unstructured data as objects with metadata and unique identifiers.

Object storage is a scalable architecture for managing unstructured data as discrete objects with metadata and unique identifiers.
Established
Medium

Classification

  • Medium
  • Technical
  • Architectural
  • Intermediate

Technical context

CDN for global deliveryBackup and archival solutionsData processing and analytics tools

Principles & goals

Objects are self-contained units with metadata and unique keys.Separation of object identity and storage location enables scalability.Access is via standardized HTTP/S3-compatible interfaces.
Run
Enterprise, Domain, Team

Use cases & scenarios

Compromises

  • Vendor lock-in with proprietary API extensions.
  • Insufficient access controls can lead to data exposure.
  • Missing lifecycle or replication rules increase recovery time.
  • Use lifecycle policies for automatic tiering
  • Organize data with meaningful prefixes and metadata
  • Use S3-compatible APIs for portability across implementations

I/O & resources

  • Unstructured blobs, log files, media
  • Metadata for classification and lifecycle rules
  • Network infrastructure and appropriate authentication
  • Scalably stored objects with API access
  • Versioned and archived datasets
  • Integrated artifacts for analytics and delivery

Description

Object storage is a scalable architecture for managing unstructured data as discrete objects with metadata and unique identifiers. It provides cost-efficient durability, global namespace, versioning and eventual consistency for large volumes such as backups, archives and media content. Implementations are offered as cloud-hosted or self-hosted solutions with REST/S3-compatible APIs, lifecycle policies and CDN integrations.

✔

  • High scalability for very large datasets.
  • Cost-efficient long-term retention via tiering and lifecycle policies.
  • Easy integration with CDN, analytics and backup workflows.

✖

  • Not a POSIX filesystem; unsuitable for file-based low-latency workloads.
  • Eventual consistency models can complicate strict consistency requirements.
  • Costs can rise with many small objects or high request rates.

  • Storage utilization

    Percentage of used storage capacity in the cluster.

  • Object access rate (OPS)

    Requests per second for read and write operations.

  • Recovery time objective (RTO)

    Time to recovery after an outage or data loss.

Amazon S3 (example cloud object storage)

Widely used cloud service with S3 API, lifecycle management and high availability.

MinIO (self-hosted, S3-compatible)

Lightweight, self-hostable object storage system with S3 compatibility and high performance.

Ceph RADOS Gateway (scalable on-premises)

Open-source solution for highly scalable object and block storage in data centers.

1

Capture requirements and data profiles

2

Define API and access model (S3/REST)

3

Plan and test deployment (cloud-hosted or self-hosted)

4

Configure lifecycle, replication and backup rules

⚠️ Technical debt & bottlenecks

  • Insufficient replication strategy under rapid growth
  • Monolithic implementation without S3-compatible abstraction
  • Missing automation for lifecycle and tiering policies
Network bandwidth for large transfersMetadata indexing at millions of objectsCosts due to small object and request patterns
  • Using object storage for low-latency POSIX workloads
  • Storing sensitive data without encryption and access controls
  • Migration without accounting for proprietary API extensions
  • Unexpected costs due to request and egress models
  • Metadata design not scaling at millions of objects
  • Wrong assumptions about consistency lead to data anomalies
Knowledge of S3 APIs and RESTUnderstanding of network and storage architectureOperational experience with replication and lifecycle management
Scalability for growing data volumesData durability and replicationAPI compatibility (e.g. S3)
  • • No POSIX access; applications must use S3/HTTP
  • • Legal requirements for data storage and replication
  • • Network and latency requirements for distributed access