InfoQ Homepage Programming Content on InfoQ
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Scaling Agile Transformation in a Waterfall Enterprise
Ryan Johnson discusses common issues and solutions to them for teams moving from a waterfall approach to an agile one.
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Buckets, Funnels, Mobs and Cats or: How We Learned to Love Scaling Apps to the Cloud
The authors discuss how to migrate apps to the cloud using funnels and buckets, and then scale them and test for resilience.
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Modern Messaging with RabbitMQ, Spring Cloud and Reactor
Arnaud Cogoluègnes demos messaging apps built with RabbitMQ with Reactor on Spring Cloud. Code used in this talk is made available for download.
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Tea Ceremonies: Steeping IT Ops in Your Developer's Hot Water
Olaf Gradin shares Fiserv’s experience working with Pivotal Application Service, what worked and what didn’t.
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Springing into Kotlin: How to Make the Magic Even More Magical
Mark Heckler discusses how Kotlin can be used to reduce boilerplate and increase code quality, showing how to begin incorporating Kotlin into an existing Spring application.
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Netflix Play API - An Evolutionary Architecture
Suudhan Rangarajan talks about what patterns Netflix observed in their previous architectures and how they arrived at a list of practices to create an Evolutionary Architecture.
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npm and the Future of JavaScript
Laurie Voss talks about what npm knows about JavaScript users, how JavaScript usage patterns are changing, and JavaScript security, tools, and future direction.
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Desktop Applications in Electron: Pro Tips and Tricks
Paul Betts talks about some common pitfalls that many developers new to Electron fall into, especially people with a web background who are new to Desktop development.
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Mocking .NET without Hurting Its Feelings
John Wright discusses two main types of mocking frameworks: constrained frameworks (like RhinoMocks and Moq) and unconstrained frameworks (such as Typemock Isolator and Telerik JustMock).
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AI & Blockchain from an Investment Perspective
The panelists discuss building AI and blockchain systems from an investment perspective.
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AI for Software Testing with Deep Learning: Is It Possible?
Emerson Bertolo discusses lessons learned when using pre-trained Convolutional Neural Networks (CNN) models, Image Detection APIs and CNN's built from scratch for this purpose.
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AI, the Enterprise, and You: A Primer and Post-Mortem
David Wesst discusses current AI solutions along with the challenges of delivering an AI solution, from defining requirements, goals, and differences in development.