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Our hardware infrastructure comprises millions of machines, all of which generate logs that we need to process, store, and serve. The total size of these logs is several petabytes every hour. The o…
Scribe: Transporting petabytes per hour - Engineering at Meta
Big data and analytics
PDF) RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
QCon London April 4-6, 2022, Session
Facebook Hadoop Usecase
Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis - Baatz - 2021 - Reviews of Geophysics - Wiley Online Library
How does the performance of Kafka compare to Scribe, Flume, or Fluentd? - Quora
Asynchronous computing at Meta: Overview and learnings
QCon London April 4-6, 2022, Session
A survey on the Distributed Computing stack - ScienceDirect
PDF) ChronoLog: A Distributed Shared Tiered Log Store with Time-based Data Ordering
Data observability at Meta scale, Andy Yunxin Wu and Sravankumar Nandamuri, Software Engineer, Meta Data Observability Learning Summit 2021, By Engineering at Meta