Shockingly simple: Tuning Momento’s Python cache client

The blog post explores the performance tuning of Momento's Python cache client, aiming to optimize its efficiency and user experience in a serverless cache setup. It delves into the specifics of configuring gRPC channels, highlighting that unlike the JavaScript client, increasing the number of channels in Python doesn't improve performance due to differences in gRPC library implementations. The post emphasizes the role of CPU as a bottleneck in single-process Python runtimes and explores how switching to the uvloop engine can enhance performance by reducing CPU usage, resulting in a 10% improvement. Testing on an AWS EC2 instance showed that with 50 concurrent requests, the Python client could achieve p999 latency of less than 20ms, while 5 concurrent requests reduced latency to below 5ms, albeit with lower throughput. These findings are being used to define pre-built configurations for different environments, simplifying setup for users, while future posts will explore performance tuning in languages like C# that can leverage multiple CPU cores more effectively.