InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Effective Communication - Get Buy-in Faster by Asking Better Questions
Roi Ben-Yehuda talks about one of the most valuable (but least-known) skills we need to communicate well and influence: how to use the right question at the right moment.
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Automating Machine Learning and Deep Learning Workflows
Mourad Mourafiq discusses automating ML workflows with the help of Polyaxon, an open source platform built on Kubernetes, to make machine learning reproducible, scalable, and portable.
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Reactive Spring
Josh Long discusses Spring Framework 5 and its support for reactive programming.
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Panel: ML for Developers/SWEs
The panelists cover how they've adopted applied machine learning to software engineering.
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Build Cross Platform Apps with Flutter
Faisal Abid talks about Flutter, how it achieves an almost identical look and feel to its Android/iOS counterparts and what is on the roadmap for Flutter (Web & IoT).
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Self-selection for Resilience and Better Culture
Dana Pylayeva talks about “self selection” (empowering people to choose their own teams) as a great vehicle to build in happiness, resilience and a better culture.
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Evoking Magic Realism with Augmented Reality Technology
Diana Hu explores how building a real world system is more a software engineering art, requiring making choices among a set of tradeoffs.
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Multi-Tenancy in Kubernetes
Katharina Probst discusses both the mechanics and the implications of cluster sharing on cost, isolation, and operational efficiency, including use cases, even challenging ones.
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Graal: How to Use the New JVM JIT Compiler in Real Life
Chris Thalinger discusses how to use Graal with JDK 10, how to compile an upstream Graal version, and what to look out for when using it for benchmarking or even in production.
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Rendering Large Models in the Browser in Real-Time
Shwetha Nagaraja & Federico Rocha explore in detail techniques and strategies that Autodesk Forge Viewer introduces for viewing extremely large 2D and 3D models in the browser in real-time.
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MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks.
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From Research to Production with PyTorch
Jeff Smith covers some of the latest features from PyTorch including the TorchScript JIT compiler, distributed data parallel training, TensorBoard integration, new APIs, and more.