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Proposal: All state-changing microservices will publish domain events to an Amazon SNS topic, which fans out to individual team SQS queues. Services will implement optimistic locking on their primary Postgres tables and poll SQS every 100ms. If processing fails, messages are retried up to 10 times with a 1-second fixed delay before going to a Dead Letter Queue (DLQ).
**3 Staff/Lead Engineering Red Flags**:
1. **Fixed 1-Second Retries = Retry Storm**: Retrying 10 times with a fixed 1-second delay during a downstream database brownout synchronizes all retry traffic, guaranteeing that the database stays down. **Require exponential backoff with jitter**.
2. **100ms Short-Polling AWS Bill**: Polling SQS every 100ms across multiple service replicas incurs millions of empty API calls, inflating AWS costs. **Switch to SQS Long Polling (`WaitTimeSeconds: 20`)**.
3. **Missing Idempotency**: SQS has 'at-least-once' delivery; the RFC does not specify a deduplication store (e.g., Redis or transactional outbox) for message processing.
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Comparing in-page AI auditing with manual review.
| Review Task | With Vezz me (Ctrl+Shift+X) | Manual Review Process |
|---|---|---|
| Stress-testing an architecture RFC | 10 seconds (flags retry storms, missing outbox, scaling cliffs) | Spending an hour cross-referencing distributed systems literature |
| Auditing a 30-line regex or SQL query in a PR | Instant ReDoS check and NULL-trap edge cases | Mental dry-running or opening a separate REPL |
| Synthesizing an SRE outage postmortem | Extracts blameless 5-Whys causal chain in seconds | Manually untangling 4,000 words of chronological server telemetry |
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