Optimizing Search Performance with CQRS: Relational Writes and NoSQL Reads

CQRS (Command Query Responsibility Segregation) is presented as the go-to architecture for scaling search-heavy systems. The approach separates write operations (handled by a relational DB like PostgreSQL for ACID compliance and data integrity) from read operations (handled by a NoSQL store or search engine like Elasticsearch for fast, denormalized document retrieval). Key topics include managing eventual consistency via application-level updates or Change Data Capture (CDC) with tools like Debezium, using message queues (Kafka/RabbitMQ) to decouple systems, and practical takeaways like monitoring sync lag, implementing read-your-own-writes, and accepting storage duplication as a deliberate trade-off.