Several significant trends are currently shaping caching strategies across modern architectures. The rise of edge computing and CDN proliferation pushes caches closer to end-users, drastically reducing latency for global audiences. Concurrently, the increasing adoption of in-memory data stores like Redis and Memcached highlights a demand for extremely high-performance, low-latency data access within applications. Furthermore, microservices and serverless paradigms necessitate more distributed and dynamically scalable caching solutions, often managed per service, rather than monolithic, centralized approaches. There's also a growing interest in leveraging AI/ML for intelligent caching, enabling predictive pre-fetching, adaptive invalidation policies, and optimized resource allocation. Lastly, managing cache consistency and data locality across hybrid and multi-cloud environments remains a critical challenge, driving innovation in distributed cache management systems. More details: https://www.icav.es/boletines/redir?dir=https://epi-us.com