Optimizing Cache Layers for Faster Rendering in E-commerce Platforms: A Case Study of Megacache Migration

The emergence of E-Commerce has resulted in growing pressures on the Web Platform, with less latency and more performance. Optimization of the cache layer is now playing an organic role in countering the rendering delays, backend load, and augmenting the user experience. This review is conducted in the light of the developments of the cache with emphasis on the multi-layer frameworks and migration of Megacache. Attention is given to the work to capture the architectures and to capture range edge caches to application caches, as well as to distributed caches, to enhance performance. Asynchronous invalidation of caches can necessitate key issues, consistency can necessitate trade in cache invalidation, consistency cache invalidation, consistency cache invalidation issues at the level of key, cache invalidation migration. A theoretical model mentioning the significance of causation between the elements hit rate, latency, consistency, and cost of achieving a cache optimization is suggested. In between, the review discusses such emerging practices as intelligent caching and predictive prefetching. The evidence indicates that the structure of optimization in the cache is not only critical towards technical efficiency, but it is a critical factor in terms of the competitiveness of businesses in the digital business enterprise. The work gives a systematic insight into the available approaches, safe, and the places in which further research must be carried out in the process of finding out the cross-platform integration of both cache/based and safe