Caching Strategies and Azure CDN

Caching Strategies and Azure CDN

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Lesson: Caching Strategies and Azure CDN

Introduction

In modern distributed systems, performance and latency are critical to user experience. Every round-trip to a database or a remote API introduces latency. Caching is the practice of storing copies of data in a temporary storage location (the cache) so that future requests for that data can be served faster.

By implementing caching, you reduce the load on your backend origin servers, decrease bandwidth costs, and significantly improve the responsiveness of your application. Azure Content Delivery Network (CDN) acts as a global caching layer, placing your content physically closer to your users, effectively minimizing the "speed of light" delay.


Understanding Caching Strategies

Caching isn't a "one-size-fits-all" solution. You must choose a strategy based on how often your data changes and how critical it is that the user sees the absolute latest version.

1. Cache-Aside (Lazy Loading)

This is the most common pattern. The application code first checks the cache. If the data exists (a "cache hit"), it returns it. If not (a "cache miss"), the application fetches the data from the database, updates the cache, and then returns the data.

Best for: Read-heavy workloads where data doesn't change frequently.

2. Write-Through

The application updates the cache and the database simultaneously. This ensures the cache is always consistent with the database but adds latency to write operations.

Best for: Systems where data consistency is more important than write speed.

3. Time-to-Live (TTL)

TTL is a setting that defines how long a piece of data remains in the cache before it is considered "stale" and must be re-fetched from the origin.


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