Optimization

Nautilus is our search engine for finding documents and other files in Dropbox. Here's how it created the foundation for us to build better search functionality to understand more nuanced queries.

Pingora handles 35M+ requests per second, so saving a few microseconds per request can translate to thousands of dollars saved on computing costs. In this post, we share how we freed up over 500 CPU cores by optimizing one function and announce trie-hard, the open source crate that we created to do it.

In this post, we discuss the performance optimizations we've implemented for our WAF ML product. We'll guide you through specific code examples and benchmark numbers, and we'll share the impressive latency reduction numbers observed after the rollout

How we killed SQL and built a machine learning model in its place