Scalability is the ability to handle increasing workloads through cost-effective strategies, not just adding more infrastructure. Common bottlenecks include centralized components, high-latency operations, and tight coupling between services. Key principles for scalable systems are statelessness, loose coupling, and asynchronous processing. Essential techniques include load balancing with tools like NGINX and HAProxy, caching with Redis and CDNs, event-driven processing using Kafka and RabbitMQ, and database sharding to distribute data across multiple servers. True scalability balances performance improvements with cost efficiency, requiring architectural mindset from the beginning of system design.
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The True Definition of ScalabilityCommon Bottlenecks to ScalabilityPrinciples for Building Scalable SystemsScalability Techniques You Should KnowCost vs Scale: The Real Trade-offFinal Thoughts1 Comment
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