Design a production-ready file deduplication service. Outline the architecture (ingest, chunking, indexing, storage, and metadata), APIs, and read/write workflows. Explain strategies for consistency, idempotency, fault isolation, failure recovery, and disaster recovery; how to run backfills and compaction/garbage collection safely; index sharding and rebalancing; deployment, rollout/rollback, and schema/version migration plans. Define monitoring, alerting, and SLOs; capacity planning and cost controls (compute, storage, network); privacy and compliance considerations (e.g., encryption, access control, GDPR); and techniques to minimize impact on production workloads (e.g., rate limiting, backpressure, priority queues).

This question evaluates system design and distributed storage competencies, focusing on scalable file deduplication, content-defined chunking, metadata and index design, multi-tenant architectures, and operational reliability across regions.

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Design production-ready dedup service | Anthropic Interview Question

System Design: Production-Ready File Deduplication Service

Context

Design a multi-tenant cloud service that stores files and achieves space savings via deduplication. The service must handle large scale (billions of files, petabytes of data), support high availability across regions, and provide operationally safe mechanisms for change management.

Assume:

Files are immutable once written (new versions create new files/manifests).
Deduplication happens at the chunk level using content-defined chunking.
Storage is an object store; metadata and indexes use scalable data stores.

Requirements

Outline the following:

Architecture
- Ingest, chunking, indexing, storage, and metadata layers.
- How manifests map files to chunks.
APIs
- Read/write, streaming/multipart, idempotency, and admin/maintenance endpoints.
Read/Write Workflows
- End-to-end flows, including parallelism and error handling.
Consistency and Safety
- Consistency model, idempotency strategies, fault isolation, failure recovery, and disaster recovery (RPO/RTO).
Maintenance Operations
- Backfills, compaction/garbage collection, index sharding and rebalancing, and safe rollout/rollback and schema/version migrations.
Operations and SRE
- Monitoring, alerting, SLOs; capacity planning and cost controls (compute, storage, network).
Privacy and Compliance
- Encryption, access control, GDPR/data deletion, residency, auditing.
Minimizing Production Impact
- Rate limiting, backpressure, priority queues, and other isolation mechanisms.

Context

Assume:

Files are immutable once written (new versions create new files/manifests).

Deduplication happens at the chunk level using content-defined chunking.

Storage is an object store; metadata and indexes use scalable data stores.

Requirements

Outline the following:

Architecture

Ingest, chunking, indexing, storage, and metadata layers.
How manifests map files to chunks.

APIs

Read/write, streaming/multipart, idempotency, and admin/maintenance endpoints.

Read/Write Workflows

End-to-end flows, including parallelism and error handling.

Consistency and Safety

Consistency model, idempotency strategies, fault isolation, failure recovery, and disaster recovery (RPO/RTO).

Maintenance Operations

Backfills, compaction/garbage collection, index sharding and rebalancing, and safe rollout/rollback and schema/version migrations.

Operations and SRE

Monitoring, alerting, SLOs; capacity planning and cost controls (compute, storage, network).

Privacy and Compliance

Encryption, access control, GDPR/data deletion, residency, auditing.

Minimizing Production Impact

Rate limiting, backpressure, priority queues, and other isolation mechanisms.

Design production-ready dedup service

Quick Overview

System Design: Production-Ready File Deduplication Service

Context

Requirements

Solution

Comments (0)

Design production-ready dedup service

Quick Overview

System Design: Production-Ready File Deduplication Service

Context

Requirements

Solution

Comments (0)