Caching is fundamentally linked to scalability by enabling systems to handle increased loads more efficiently. By storing frequently requested data closer to the users or application layer, caching significantly reduces the number of direct requests to origin servers, databases, or expensive computational services. This reduction in backend load means that existing infrastructure can serve a greater volume of traffic without immediately requiring more resources, thereby delaying or minimizing the need for vertical or horizontal scaling of those components. Consequently, caching helps maintain low latency and high availability even as user numbers grow, which are critical aspects of a scalable and performant system. It essentially acts as a buffer, absorbing traffic spikes and ensuring that the core system doesn't become a bottleneck, allowing it to scale gracefully under pressure while optimizing resource utilization. More details: https://redirect.camfrog.com/redirect/?url=https://epi-us.com/