InfoQ Homepage Case Study Content on InfoQ
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Reasoning about Uncertainty at Scale
Max Livingston presents a case study of using Bayesian modelling and inference to directly model behavior of aircraft arrivals and departures, focusing on the uncertainty in those predictions.
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Zero to Production in Five Months @ ThirdLove
Megan Cartwright discusses how ThirdLove built their first machine learning recommendation algorithm that predicts bra size and style.
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Modern Software Delivering Business Value at Startup Speed to Transform Immigration and Refugee Asylum
Thomas Baird, Matthew Dosberg discuss how United States Citizenship and Immigration Services adopted Pivotal technologies and practices like Lean and XP to improve their software development process.
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LeSS Huge at BMW
Konstantin Ribel, Craig Larman discuss how the BMW driverless team was set up based on LeSS Huge, and some of the successes and problems encountered along the way.
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Chaos Engineering for PCF
Karun Chennuri and Ramesh Krishnaram show chaos tools built on ChaosLemur to verify the resistance to failure of a system running on PCF.
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Less Adoption in MTS Kassa
Illia Pavlichenko and Sergei Muzykantov share how MTS Kassa has adopted LeSS, some of the lessons learned and the failures encountered.
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LeSS Huge at Nokia
Bas Vodde, Tero Peltola discuss how Nokia adopted the LeSS and LeSS Huge frameworks.
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Digital Publishing for Scale: The Economist and Go
Kathryn Jonas talks about The Economist’s struggles and victories in transitioning to Go and how Go has uniquely fit their digital publishing goals.
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Better DevEx at Netflix: Polyglot and Containers
Mike McGarr talks about the evolution of developer tooling at Netflix, focusing on command line tools they built to address evolving needs around programming languages, containers and more.
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Better Value Sooner, Safer, Happier
Jon Smart discusses the Agile endeavor at Barclay, practicing continuous improvement centered around outcomes and value.
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Coinbase Commerce: A User-Controlled Payment Processor
Amy Yin talks about Coinbase Commerce, a user-controlled payment processor.
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Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
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