Scaling Applications with Azure Redis Cache and Machine Learning

Explore scaling techniques for large-scale applications using Azure Redis Cache and Machine Learning in this comprehensive conference talk. Learn how to optimize performance and increase scalability through various caching strategies, including in-memory and persistent storage options across different sizes and geographic locations. Discover the benefits of the open-source Redis engine as implemented in Azure, and its intuitive configuration for multiple programming languages. Gain insights into EF Education's approach to scaling applications for hundreds of thousands of daily users across 150+ global locations. Delve into design best practices and code examples for implementing Azure Redis Cache, optimizing cache hit ratios, and reducing miss rates using smart algorithms processed by Machine Learning. Understand techniques for automating and monitoring Redis cache deployment across different tiers, persistence layers, and replicated nodes to enhance ASP.NET MVC application performance.

Scaling applications with Azure Redis Cache and Machine Learning - Stefano Tempesta