Liz Fong-Jones
Field CTO, honeycomb.io
Liz is a developer advocate, labor and ethics organizer, and Site Reliability Engineer (SRE) with nearly 20 years of experience. She is an advocate at Honeycomb for the SRE and Observability communities, and previously was an SRE working on products ranging from the Google Cloud Load Balancer to Google Flights.
In this talk, you will learn how a sub-second latency query engine inspired by Facebook's Scuba was extended from running in RAM only, to querying the most recent data that could still fit on local SSD, to querying months of data at a time using cloud storage and serverless functions. We'll describe the pitfalls of managing lambdas at scale, including impatience, maximum concurrency, runtime and architecture configuration/experimentation, and the price/performance of renting tens of thousands of parallel workers across the x86 and arm ecosystems.
