Building scalable cloud systems with great performance using Azure Cache for Redis

This article provides a comprehensive guide on leveraging Azure Cache for Redis to enhance the performance of cloud systems. It explains how in-memory distributed caching can drastically reduce response times, citing an example of dropping average endpoint latency from 450ms to 62ms. The content covers security considerations like password authentication, firewall settings, and lack of encryption/transport security. It also includes practical steps for executing Redis commands via the Azure Portal, integrating with API Management for caching, and using Redis from C# with retry policies for transient faults. Aimed at developers and IT professionals, the article offers actionable insights for building scalable, high-performance applications.