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Concepts/Distributed Systems & Storage/idempotency-and-deduplication

Idempotency & Message Deduplication

Make retries safe with idempotency keys, dedupe stores, and exactly-once effects at the business layer.

intermediate
Concept Breakdown

💡 Why It Matters

Payment double-charges, duplicate shipments, and poison retries are almost always missing idempotency boundaries.

🌐 Real-World Production Usages & Examples

Payment capture API

Scenario: Client retries POST /capture on timeout.

Outcome: Same idempotency key returns original receipt instead of double billing.

✓ When to Use

  • •HTTP APIs with retries
  • •Kafka consumers
  • •Saga compensations
  • •Webhook receivers

✕ When NOT to Use

  • •Pure read-only queries with no side effects
  • •Batch jobs that never retry

🔑 Core Architecture & Rules

  • 1Idempotency keys stored with TTL
  • 2Dedupe window must exceed max retry horizon
  • 3Outbox pairs DB write with publish intent

⚖️ Architectural Trade-Off Analysis

Dedupe store

PROSimple correctness story
CONStorage and TTL governance required

⚠️ Failure Modes & Mitigations

Key collision

Different operations reuse the same idempotency key.

Mitigation: Scope keys per operation type and principal.

🛠️ Example Usages

Reviewed practical implementations and concrete code walkthroughs for Idempotency & Message Deduplication.

No reviewed practical examples currently published for this concept. Queued for technical review.
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