InfoQ Homepage Infrastructure Content on InfoQ
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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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Terraform Earth - Secure Infrastructure for Developers
Chase Evans describes the primitives and processes Coinbase used to eliminate unilateral access and safely shared the power of infrastructure with the entire engineering team.
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Secure Isolation in Rust: Hypervisors, Containers, and the Future of Composable Infrastructure
Allison Randal discusses how to obtain security through isolation in Rust using hypervisors and containers.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
Application Performance Management in the Microservices Age
Manual Monitoring – Bad! Automatic Monitoring – Good!
Application Performance Management in a Containerized World
Open Source Microservices Monitoring is a Terrible Idea
Yes Virginia, Automatic Monitoring DOES Exist
Finding the Needle in the Containerized Haystack
The Ultimate Application Monitoring Guide for Kubernetes
