InfoQ Homepage QCon New York 2018 Content on InfoQ
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Privacy Ethics – A Big Data Problem
Raghu Gollamudi broadly covers best practices with respect to Data Management aspects from mapping Enterprise data to applying Data Protection rules like GDPR at petabyte scale.
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How Machines Help Humans Root Case Issues @ Netflix
Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems.
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Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
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ML Data Pipelines for Real-Time Fraud Prevention @PayPal
Mikhail Kourjanski focuses on the architectural approach towards PayPal’s real-time service platform that leverages ML models, delivers performance and quality of decisions.
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Deep Learning for Application Performance Optimization
Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.
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Large Scale Architectures Panel
Karen Casella explores architectural issues with a panel of experts from some of the world's largest architectures.
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Skype's Journey from P2P: It's Not Just about the Services
Bruce Lowekamp discusses the evolution of Skype's architecture and tradeoffs in design made along the way, the lessons learned and the improvements that are still in process as Skype evolves.
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Closer to the Wire: Real-Time News Alerting @Bloomberg
Katerina Domenikou talks about how her team built the Bloomberg real-time alerting platform using open source search technology, and explores the challenges that arise at that scale.
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Scaling Push Messaging for Millions of Devices @Netflix
Susheel Aroskar talks about Zuul Push - a massively scalable push notification service that handles millions of "always-on" persistent connections from all Netflix apps.
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Canopy: Scalable Distributed Tracing & Analysis @ Facebook
Haozhe Gao and Joe O’Neill present Canopy, Facebook’s performance and efficiency tracing infrastructure. They talk about the lessons learned and present case studies of its use.
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The History of Fire Escapes
Tanya Reilly looks at what can be learned from real world fire codes about expecting failure and designing for it.
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A Brief, Opinionated History of the API
Joshua Bloch discusses the history of APIs and looks at a few prominent examples with an eye to distilling their essence.
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