InfoQ Homepage Presentations
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React+Redux at Scale
Daniel Cousineau looks at how React and Redux scale, not just in terms of quantitative performance, but in terms of architecture and team participation.
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From Customer Self Service Portals to Web APIs
Florian Marquardt presents how Regiocom has created and uses web APIs to serve the energy market in several countries.
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What Is the Purpose of the LLKD Community?
Chris Matts discusses how Agile was confiscated by salesmen who just want to sell solutions that just “work” instead of solving actual problems.
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The Danger of Team Safety
Katherine Kirk suggests that sometimes team safety can actually be detrimental. In this talk, she explores what else could be done.
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Becoming Fully Buzzword Compliant
Trisha Gee overviews the current technical landscape and presents a survival guide for those who want to stay ahead in this changing industry.
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Solving Business Problems with Data Science
The panelists discuss how companies can use data science to solve various business problems.
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Reinventing Credit Insurance with APIs
Christophe Spoerry discusses embedding insurance in B2B innovations.
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Elm and Phoenix: Two FP Flavors That Taste Great Together
Josh Adams discusses the basics of creating apps in Elm with a Phoenix back-end, using real-world examples of how the two work together in Firestorm, an open-source forum engine.
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Serverless Platform: Scientific Computation @Scale
Diptanu Choudhury talks about the platform they are developing at NASA for running computations as functions which would make it easier for researchers to program their applications & algorithms.
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What Does Speed Mean in Software Product Delivery?
Jason Yip explores the way of thinking about "high velocity" and gives specific examples of concepts and practices to try from his experiences at ThoughtWorks and Spotify.
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More Reliable Delivery with Monte Carlo & Mapping
Conal Scanlon talks about how to use Monte Carlo simulations to remove the guesswork from planning, story mapping to discover the story up front, and reviews an example of how to automate a forecast.
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Development Metrics You Should Use But Don't
Cat Swetel discusses new ways and tools to visualize a team’s reliability and variability of delivery using the data already collected.
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