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Displaying posts with tag: Data Infrastructure (reset)
Systems @Scale 2019 recap

Operating systems that serve millions (or even billions) of people can present unprecedented, complex engineering challenges. Last year, we launched the Systems @Scale conference to bring together engineers from various companies to discuss those challenges. At this year’s event, attendees gathered to hear speakers from Facebook, LinkedIn, Uber, and other companies discuss innovative solutions for large-scale information systems.

If you missed the event, you can view recordings of the presentations below. If you are interested in future events, visit the @Scale website or follow the @Scale Facebook page.

Keynote

Benjamin Reed, Assistant Professor, San Jose State University  

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Systems @Scale 2019 recap

Operating systems that serve millions (or even billions) of people can present unprecedented, complex engineering challenges. Last year, we launched the Systems @Scale conference to bring together engineers from various companies to discuss those challenges. At this year’s event, attendees gathered to hear speakers from Facebook, LinkedIn, Uber, and other companies discuss innovative solutions for large-scale information systems.

If you missed the event, you can view recordings of the presentations below. If you are interested in future events, visit the @Scale website or follow the @Scale Facebook page.

Keynote

Benjamin Reed, Assistant Professor, San Jose State University  

[Read more]
DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake

Keeping the Uber platform reliable and real-time across our global markets is a 24/7 business. People may be going to sleep in San Francisco, but in Paris they’re getting ready for work, requesting rides from Uber driver-partners. At that same …

The post DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake appeared first on Uber Engineering Blog.

Migrating Messenger storage to optimize performance

More than a billion people now use Facebook Messenger to instantly share text, photos, video, and more. As we have evolved the product and added new functionality, the underlying technologies that power Messenger have changed substantially.

When Messenger was originally designed, it was primarily intended to be a direct messaging product similar to email, with messages waiting in your inbox the next time you visited the site. Today, Messenger is a mobile-first, real-time communications system used by businesses as well as individuals. To enable that shift, we have made many changes through the years to update the backend system. The original monolithic service was separated into a read-through caching service for queries; Iris to queue writes to subscribers (such as the storage service and devices); and a …

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Showing entries 1 to 4