● Covered by 1 source · 1 reportMedium impact1 positive
Google Cloud's Memorystore for Valkey 9.1 achieves 3x QPS and microsecond latency
Key points
- Memorystore for Valkey 9.1 is now generally available.
- Achieves 3x QPS and microsecond latency vs. Redis Cluster.
- Uses a new lock-free, multi-queue messaging architecture.
- Valkey is an open-source alternative to Redis, backed by Google Cloud.
Memorystore for Valkey 9.1 Released
Google Cloud has announced the general availability of Memorystore for Valkey 9.1. This new version delivers significant performance gains, achieving up to three times the queries per second (QPS) and microsecond latency when compared to Memorystore for Redis Cluster.
Background on Valkey Adoption
Google Cloud's support for Valkey began in 2024, following Redis Inc.'s shift from a permissive open-source BSD license to a dual-license model. In response, Google Cloud, along with other technology leaders, supported the creation of Valkey as an open-source alternative under the Linux Foundation. Valkey has since introduced major performance and feature updates.
Performance Improvements in Valkey 9.1
Valkey 9.1's enhanced performance stems from a redesigned thread communication mechanism. It replaces static I/O thread assignments and list-polling with a lock-free, multi-queue messaging architecture. This new architecture eliminates cross-thread CPU waste and enables dynamic work balancing.
The system incorporates three types of queues: a single-producer multi-consumer (SPMC) queue for dispatching read/write jobs from the main thread to I/O threads, a multi-producer single-consumer (MPSC) queue for I/O threads to push completed tasks back to the main thread, and dedicated single-producer single-consumer (SPSC) queues for thread-affine memory cleanup and epoll offloading. Valkey 9.1 also introduces a two-phase dynamic scaling engine, replacing static thread thresholds.
Impact for Developers
These advancements make Valkey particularly suitable for organizations scaling AI and microservices that need to handle millions of concurrent users. Backend developers and architects can achieve massive throughput while maintaining microsecond latency, addressing critical requirements for modern high-performance applications.
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Reporting from
Google Cloud announced the general availability of Memorystore for Valkey 9.1, offering up to three times higher queries per second (QPS) and microsecond latency compared to Memorystore for Redis Cluster. This performance improvement is due to a redesigned lock-free, multi-queue messaging architecture that optimizes thread communication and dynamic work balancing.