InfoQ Homepage Conferences 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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US Marines, Agile and Heuristics
Peter Pito explores how to create a set of heuristics underpinned by Agile principles and practices that can be used to create a delivery foundation.
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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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Five Ways to Boost Automation Effectiveness
Nikolaj Tolkačiov discusses test data, maintenance less implementation, locator injections, test scripts developing environment, effective and scalable Gherkin implementation, and much more.
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Flow
Markus Wissekal discusses various ways to manage and visualize flow in Kanban.
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Continuous Reteaming: Adopt Self-Selection and Start Moving People to the Work!
Julien Lavigne du Cadet discusses how he initially led a team of ~20 people from a static structure to something a lot more dynamic where reteaming happens quarterly.
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Attack of the Monorepos
Rupert Redington introduces monorepos, exploring some of the available tooling and then illustrates the changes their team experienced adopting them.
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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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