Memorystore for Redis Cluster

Google Cloud Character.AI wants to provide the best user experience, and application speed is key to user engagement

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Google Cloud's requirement for efficiency and scalability led us to chose their Memorystore for Redis Cluster

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Google Cloud discovered one Memorystore instance was insufficient. Using Twemproxy to create a consistent hash ring, they could spread operations among Memorystore instances

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The 2023 release of Google Cloud Memorystore for Redis Cluste was a big scaling milestone

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Memorystore for Redis Cluster scaled their application and kept their primary database layer loaded and cache hit rates high as they grew

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Character. AI's Memorystore for Redis Cluster shows their commitment to employing cutting-edge technologies to improve customer experience

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Character.AI explores innovative technologies and approaches to improve application performance and reliability to lead the AI market

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Instances Memorystore for Redis Cluster holds your data. A Redis Cluster instance and cluster are the same for a single Memorystore

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Based on open-source Redis 7.x, Memorystore for Redis Cluster supports part of the Redis command library For more details govindhtech.com

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