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Improve Database Scale for Strong Consistency without Code Changes

Roland Lee

Scaling out your SQL database involves separating the write-master from read replicas. However, there could be data inconsistency due to synchronization delays.

In this session, will discuss:
– How to implement Read/write split with Azure Cache for Redis
– How to ensure strong consistency when retrieving data with Redis Enterprise
– Real-world customer user cases

Live demo and Q&A

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