Design a system for real-time processing of customer feedback.

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Anonymous · Accepted Answer

1. Customer submits feedback.

2. API Gateway authenticates and forwards the request.

3. Feedback Service validates the payload and publishes it to Kafka.

4. Multiple stream processors independently perform sentiment analysis,
    categorization, spam detection, language detection, and keyword extraction.

5. An aggregator combines the results into an enriched feedback event.

6. The enriched event is stored in PostgreSQL and indexed in Elasticsearch.

7. The Alert Service generates notifications for critical issues (for example,
    payment failures or spikes in negative sentiment).

8. Dashboards read aggregated metrics from Redis and Elasticsearch to provide
    near real-time insights.

Design a system for real-time processing of customer feedback.

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