Scale Applications with Microsoft Azure Redis Cache and Machine Learning

摘要

In a multi-tier application, bottlenecks can occur at any of the connection points between two tiers: at business logic and data access layers, client and service layers, presentation and storage layers, and so on. Large-scale applications can implement various levels of caching of information for improving performance and increasing scalability. Caching can be configured in memory or on some more permanent form of storage, in different sizes, and in diverse geographic locations. The open source Redis engine, as implemented in Azure, lets you intuitively configure and manage all these aspects, and use a variety of programming languages.