Xmpro Auto Scale Understanding Distributed Caching For Cloud Native Applications
Last updated
Last updated
In today's video, we delve into the mechanics and advantages of Distributed Caching in cloud-native applications, specifically focusing on its crucial role when scaling out server instances. This discussion is designed for engineers, architects, and experts who require in-depth understanding rather than surface-level insights.
Key Takeaways: Fundamentals of Data Caching: A brief overview of how data caching improves application performance by storing data in quick-access memory rather than relying on time-consuming database queries.
Architecture: We explore how the typical architecture for AWS mirrors that of other cloud platforms like Azure, particularly in the role of load balancers such as AWS Elastic Beanstalk and Azure App Service.
Cache Consistency: Understand why maintaining cache data consistency across various server instances is vital, especially in a scaled-out architecture.
Practical Use Cases: We discuss real-world scenarios like streaming data from multiple hosts and the influence of caching on application designers.
Scaling: Learn about two primary dimensions—vertical scaling (scale up) for performance improvement and horizontal scaling (scale out) for added resiliency and meeting high-demand situations.
Resiliency and Redundancy: We illustrate how having multiple server instances can protect against performance degradation, thus ensuring a more robust application environment.
Cost-Effectiveness: Discover how to use auto-scaling strategies to optimize infrastructure costs without sacrificing performance.
Early benchmarking data indicates noticeable performance improvements when using Distributed Caching, even on a single-instance setup. This video aims to provide you with the comprehensive knowledge needed to make informed decisions on implementing Distributed Caching in your cloud-native applications.
Whether you're looking to improve performance, add resiliency, or manage costs, understanding the nuances of Distributed Caching can provide the edge your applications need.
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Tags: #DistributedCaching #CloudNative #AWS #Azure #PerformanceOptimization #Resiliency #CostManagement #Engineering #Scalability