Scaling applications with Azure Redis Cache and Machine Learning
summary
How to use Azure Redis Cache and Redis (open-source) to add multi-level caching for large-scale ASP.NET MVC applications, including configuration for memory, persistence, sizing and geo-distribution and code examples. Covers tuning cache hit/miss behavior and applying machine learning algorithms to reduce miss rate, plus automating and monitoring Redis deployments across tiers, persistence layers and replicated nodes.
AI-written summary · about
chapters (6)
- 0:00Start
- 10:50Azure Redis
- 31:19One-Level Cache
- 35:16Two-Level Cache
- 38:48Azure Machine Learning
- 54:56Cache Hit/Miss Ratio
related talks
48mCaching in the Cloud
31mRevolutionize the future: Solutions for scale with Redis Enterprise
47mApplication design patterns with in-memory datastores
19mML feature store a cornerstone in modern data architecture for AI/ML
15mBuilding Self-Healing Cache Infrastructure
53mLeveraging Caching For Cloud Native Applications
14m5 great ways to reimagine your data layer
59mUsing Redis beyond caching