Spanner is Google’s scalable, multi-version, globally distributed, and synchronously replicated database. It is the first system to distribute data at global scale and support externally-consistent distributed transactions. This talk will discuss a paper that  describes how Spanner is structured, its feature set, the rationale underlying various design decisions, and a novel time API that exposes clock uncertainty. This API and its implementation are critical to supporting external consistency and a variety of powerful features: nonblocking reads in the past, lockfree snapshot transactions, and atomic schema changes, across all of Spanner.\
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Here is a link to the paper: <https://storage.googleapis.com/gweb-research2023-media/pubtools/1974.pdf>

Software Engineer at Bloomberg LP

Sudhi Awasthi

Spanner: Google’s Globally Distributed Database

Here is an abstract of the paper:\
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***We introduce a simple data model and API tailored for serving the social graph, and TAO, an implementation of this model. TAO is a geographically distributed data store that provides efficient and timely access to the social graph for Facebook’s demanding workload using a fixed set of queries. It is deployed at Facebook, replacing memcache for many data types that fit its model. The system runs on thousands of machines, is widely distributed, and provides access to many petabytes of data. TAO can process a billion reads and millions of writes each second.***

Link to the paper: <https://www.usenix.org/conference/atc13/technical-sessions/presentation/bronson>