Dharma and his team have spent past 7 years to build Azure Cosmos DB (
http://cosmosdb.com) - a massively scalable, multi-tenant, globally distributed database service from the ground up. The system they have built is currently operating across more than thirty-four geographical regions, managing hundreds of petabytes of indexed data, and serving 100s of trillions of requests every day from thousands of customers worldwide. The database system allows developers to elastically scale both, throughput and storage across any number of geographical regions on a single table. The service offers guaranteed single-digit millisecond low latency at 99the percentile, 99.99% high availability, predictable throughput, and multiple well-defined consistency models. The system is able to offer comprehensive SLAs for latency, availability, throughput, and consistency and is used extensively within Microsoft and is available to external Azure customers since 2015. In this session, Dharma will describe the internals of the system design and various design trade-offs they had to make. He will also share his experiences from operating a globally distributed database service worldwide and maintaining comprehensive Service Level Agreements (SLAs).events in atlanta Lessons from building a globally distributed service: Dharma Shukla | |
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| Science & Technology Creative Commons Attribution licence (reuse allowed) | Upload TimePublished on 9 Aug 2017 |
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