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Key Strategies for High Performance:

Handling high concurrency and low latency in backend apps requires a multi-layered approach: horizontal scaling, intense in-memory caching (Redis), asynchronous task processing (Kafka/RabbitMQ), and database optimization. Utilize load balancers, non-blocking I/O, database sharding, and connection pooling to ensure fast responses and system stability.
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Key Strategies for High Performance:
  • Caching Strategy: Use Redis or Memcached to store frequently accessed data, reducing direct database hits.
  • Asynchronous Processing: Use message queues like Kafka or RabbitMQ to handle non-critical tasks, allowing the API to respond immediately.
  • Database Optimization: Implement database sharding, proper indexing, and connection pooling to reduce bottlenecks.
  • Horizontal Scaling: Use load balancers and auto-scaling to distribute traffic across multiple service instances.
  • Efficient Code/Architecture: Employ non-blocking I/O, microservices, and WebSockets/SSE for real-time, high-volume traffic.
  • Traffic Management: Implement API gateways for rate limiting, throttling, and circuit breakers to protect services from overload.
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Technical Optimization Tips:
  • Database: Use indexing for faster queries.
  • Code: Use atomic operations and avoid heavy locking.
  • Serverless: Use Provisioned Concurrency in AWS Lambda to reduce cold starts
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