InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Reactive Systems Architecture
Jan Machacek and Matthew Squire give us the answer to the click-baity headline “Four things that make the biggest impact in distributed systems”, together with architectural and code examples.
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Discovering Culture through Artifacts
Mike McGarr shares an approach to discovering organizational culture through its artifacts and the key artifacts we can seek out that allow us to build an understanding of an organization's culture.
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Machine Learning Engineering - A New Yet Not So New Paradigm
Sravya Tirukkovalur discusses how ML engineering leverages skills from other engineering branches such as principles and tools, development and testing practices, and others.
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wav2letter++: Facebook's Fast Open-Source Speech Recognition System
Vitaliy Liptchinsky introduces wav2letter++, an open-source deep learning speech recognition framework, explaining its architecture and design, and comparing it to other speech recognition systems.
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Reinforcement Learning: Not Just for Robots and Games
Jibin Liu presents one of his projects at eBay where the team used RL to improve crawling of targeted web pages, starting from the basics of RL, then to why and how to use it to power web crawling.
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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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Orchestrating Robot Swarms with Java
Matthew Cornford focuses on Ocado’s latest generation of highly automated warehouses and looks into Java’s role for orchestrating huge swarms of robots for superior efficiencies of scale.
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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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Choosing Kubernetes: Managing Risk in Cloud Infrastructure
Ben Butler-Cole talks about Neo4j’s use of Kubernetes as a foundation for their stateful service: why they chose it and how they handled the risks associated with that choice.
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Applying Deep Learning to Airbnb Search
Malay Haldar discusses the work done in applying neural networks at Airbnb to improve the search beyond the results obtained with ML.
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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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Ludwig: A Code-Free Deep Learning Toolbox
Piero Molino introduces Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code.
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