Beata is a Staff Software Engineer at Google. She joined the company over 8 years ago in New York City, after she graduated with her PhD, and after few years moved to Warsaw. She is passionate about applying Machine Learning to autoscaling, infrastructure efficiency, and improving analysis processes. Currently, she works in the storage organization on massively parallel copy service. Beata is a trained mathematician and physicist but, after joining Google, she fell in love with distributed systems and reliability
You trust Google Cloud with your critical data, but did you know that Google relies on the same underlying storage infrastructure for its other businesses as well? That’s right, the same storage services that power Google Cloud also underpin Google’s most critical services.
Our home-grown copy service is the foundational storage system that takes care of data replication for availability and latency purposes. It supports a diverse range of workloads copying massive amounts of data between all Google data centres around the world.
In this talk, we will take a deeper look at the infrastructure behind the planet-scale replication service, discuss the challenges, and the approach taken to ensure that your data is geographically distributed for durability, availability, and latency purposes.