InfoQ Homepage Infrastructure Content on InfoQ
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Automatic Clustering at Snowflake
Prasanna Rajaperumal presents Snowflake’s clustering capabilities as well as their infrastructure to perform maintenance automatically. He covers real-world problems they run into and their solutions.
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Apache Metron in the Real World – Big Data and Cybersecurity, a Perfect Match
Dave Russell takes a look at a number of different organizations who are on their big data cybersecurity journey with Apache Metron.
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Petastorm: A Light-Weight Approach to Building ML Pipelines
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds, simplifies data management and data pipelines, and speeds up model experimentation.
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RSocket: Solving Real-World Architectural Challenges
O. Lehecka, R. Roeser and A. Shi explain the use cases for RSocket within their companies, and how it can be used by enterprises to simplify the way they build and operate cloud-native applications.
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People You May Know: Fast Recommendations over Massive Data
Sumit Rangwala and Felix GV present the evolution of PYMK’s architecture, focusing on Gaia, a real-time graph computing capability, and Venice, an online feature store with scoring capability.
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Deep Learning on Microcontrollers
Pete Warden discusses why Deep Learning is a great fit for tiny, cheap devices, what can be built with it, and how to get started.
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Michelangelo Palette: A Feature Engineering Platform at Uber
Amit Nene and Eric Chen discuss the infrastructure built by Uber for Michelangelo ML Platform that enables a general approach to Feature Engineering across diverse data systems.
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The Future of Operating Systems on RISC-V
Alex Bradbury gives an overview of the status and development of RISC-V as it relates to modern operating systems, highlighting major research strands, controversies, and opportunities to get involved
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A Journey into Intel’s SGX
Jessie Frazelle discusses Intel's SGX technology. Frazelle also covers an overview of computer architecture, detailing one hardware version, its flaws and changes to come in a future version.
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Productionizing H2O Models with Apache Spark
Jakub Hava demonstrates the creation of pipelines integrating H2O machine learning models and their deployments using Scala or Python.
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Winning Ways for Your Visualization Plays
Mark Grundland explores practical techniques for information visualization design to take better account of the fundamental limitations of visual perception.
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Lessons from 300k+ Lines of Infrastructure Code
Yevgeniy Brikman discusses how to design infrastructure APIs, automated tests for infrastructure code, patterns for reuse and composition, refactoring, namespacing, and more.
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