Transaction Details

Transaction Hash
0x9fd65b3cd0e287a2f22505691d1ea8c9612a2128a2b5980da5a1af893d410d12
Timestamp
Aug 19, 2026, 09:00:30 AM
Nonce
446
Operation Type
SET

Operation

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      "value": {
        "topic_path": "lessons/architecture",
        "title": "Event Sourcing over CRUD for Audit Trails",
        "content": "The team decided to adopt Event Sourcing instead of standard CRUD in PostgreSQL for financial transaction audit trails. The problem: updates overwrite previous states, making it impossible to trace history (e.g., who changed status from pending to approved). Alternatives considered: database triggers with a history_logs table were rejected because they only capture row changes without business context (why the change happened, user intent). The chosen approach: store immutable domain events (TransactionCreated, TransactionApproved, StatusUpdated) via Kafka, with a materialized view in Postgres for fast frontend reads. Implementation: event producers in src/services/transactionService.ts, consumer/store logic in src/events/eventStore.ts. Reference architecture: Martin Fowler's 'Event Sourcing Pattern' article. Motivation: compliance requirements demand full history traceability with business context.",
        "summary": "The team decided to use Event Sourcing over CRUD in PostgreSQL to maintain a complete audit trail of financial transactions, ensuring compliance can trace all changes with full business context.",
        "depth": 2,
        "tags": "lesson_learned,event-sourcing,audit-trail,compliance,kafka,postgresql",
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