Scaling Memorystore to New Heights with Sub-Millisecond Latency

Discover how Memorystore scales to meet demanding workloads with sub-millisecond latency in this 24-minute conference talk from Google Cloud Next. Explore top use cases for Memorystore as a capacity cache, session store, and leaderboard to enhance application performance and reduce cloud expenses. Gain insights from Palo Alto Networks' current implementation of Memorystore and their future scaling plans. Learn from speakers Animesh Chaturvedi, Kyle Meggs, and Matt Geerling as they delve into the capabilities and benefits of this powerful caching solution.

Scaling Memorystore to new heights with sub-millisecond latency