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* Auto-scaling - adjusts the number of computing resources to match the current workload demand
* Microservices architecture - Break monolithic APIs into smaller, independent services that can be scaled individually based on demand patterns
===Database Scaling===
* Replica Server - Increase read-only database replicas to distribute read queries across multiple database instances
* Database sharding/partitioning - Partition your data across multiple database instances based on criteria
* Connection pooling - Use connection pools to efficiently manage database connections
* Query optimization - Create indexes on columns frequently used in WHERE clauses, JOIN conditions, and ORDER BY clauses
* Use NoSQL - New nodes can be added on the fly without worrying about the consistency of data
* Data archiving - Archive old data to keep active datasets smaller and queries faster.
===Caching Strategies===
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* Field selection - Allow clients to specify which fields they need to reduce payload size and processing time
* Multiple operations - Provide endpoints for batch operations to reduce the number of api calls
* Response compression - Enable compression to reduce bandwidth usage
===Asynchronous Processing===
* Message queues - Use systems like Apache Kafka, handle tasks asynchronously and avoid blocking
* Event-driven architecture - decouple services using events to reduce direct dependencies
===Infrastructure and Deployment===
* Containerization - orchestration platforms like Kubernetes for easier scaling and deployment
* Circuit breakers - Implement circuit breaker patterns to prevent cascading failures when dependencies are unavailable.
* Health checks - Implement comprehensive health checks for load balancers and monitoring systems
* Blue-green deployments - Use deployment strategies that allow zero-downtime updates and quick rollbacks
* Autoscaling - automatically adjusts computing resources, such as servers or containers, based on real-time demand
* Spot instances - Use cheaper spot/preemptible instances for non-critical workloads
==Documentation==
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