Quick Answer
Performance optimization for microservices: cache hot data in Redis to avoid repeated DB hits, use async messaging for non-critical operations, optimize inter-service communication (use gRPC instead of REST for internal APIs - 5-10x faster), connection pooling for DB and HTTP, avoid N+1 query patterns, batch API calls where possible, and profile with distributed traces to find actual bottlenecks.
Answer
Use stateless services for horizontal scaling. Apply async messaging to avoid blocking. Cache frequently accessed data. Use load balancing and partitioning.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
