[Distributed Tracing NYC] Building a DIY Distributed Database in One Weekend
During a September 2019 Uber NYC Engineering meetup, Uber engineer Richard Artoul discusses how he built a horizontally-scalable high-throughput time series database over the course of a single weekend by leveraging M3DB, Uber's open source scalable, distributed time series database, and FoundationDB, an open source multi-model NoSQL database. Learn more about M3DB: https://m3db.github.io/m3/m3db/ Learn more about Uber Open Source: https://uber.github.io/#/
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[Distributed Tracing NYC] Distributed Transactions -- Parallel Commits
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[Uber Open Source] New Features in Pinot: Standard SQL and Cloud Readiness
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Designing Data-Intensive Applications: Chapters 1 and 2
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Uber NYC Engineering Tech Talk Series: Call me, MABI: Iterating at scale
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Google & AWS Veteran: What Top Tier Software Architects Do Differently
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[Uber Seattle] Introduction to Kappa+ Architecture using Apache Flink
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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[Uber Seattle] When Apache Pulsar Meets Apache Flink
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How Instagram Scaled Postgres to 2 Billion Users
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Nordic.js 2019 • James Simpson - Building Distributed Systems with Node.js
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[Production Engineering] Designing the Blameless Infrastructure
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Japan – Schweden Highlights | Gruppe F, FIFA WM 2026 | sportstudio
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AI Was Never About Helping You | Cory Doctorow
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[Visualization Nights] Introduction: Kepler.gl & Movement Speeds
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[Destination:Web] A Doc Site That Writes Code for You
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Linux Full Course for Beginners | Learn Linux System Administration
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System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra
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[Destination:Web] Building a Great Developer Experience: The Road to Parcel Version 2
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The Power Of Hexagons Part 1 | How H3 & Foursquare Are Transforming Spatial Analytics
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