5 Common Strategies to Keep Data in Sync

Last month Refreshers :

1. How Shopify handles 16,000 Request per second

1.Best Practices for Developing Microservices

3. Software Architecture Pattern - Layered Architecture

4. How Enterprise Applications Exchange Data Using Messaging

5. Microservices Design Pattern - Event Sourcing Pattern

6. Improve API Performance 🚀

7. Distributed System Learning Roadmap

5 Common Strategies to Keep Data in Sync

In distributed systems or applications dealing with caching, keeping data in sync between the cache and the primary database is a fundamental challenge. An effective caching strategy ensures that users experience fast performance without compromising data consistency. This blog explores five common strategies—two for reads and three for writes—that help maintain a reliable and efficient data sync mechanism.

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A Cheat Sheet on Caching Strategies