InfoQ Homepage Case Study Content on InfoQ
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Building a Culture of Continuous Improvement
Kevin Goldsmith shows what Avvo has done to build a foundation for a continuous improvement culture.
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Fault Tolerance Is a Requirement, Not a Feature
Adar Danait and Lilian Ernest discuss best practices and recommendations for using Hystrix circuit breaker for microservices.
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Tools to Put Deep Learning Models in Production
Sahil Dua discusses how Booking.com supports data scientists by making it easy to put their models in production, and how they optimize their model prediction infrastructure for latency or throughput.
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Microservices: API Re-Platforming @Expedia
Mariano Albera describes how the Expedia Affiliate Network unit underwent a massive replatforming project that moved from an on-prem monolith to a cloud-based microservice architecture.
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How Comcast Embraced Open
Nithya Ruff and Shilla Saebi share tips on how to change an organization’s mindset towards embracing open source and inclusiveness, community building, and contributing upstream.
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Ford Motor Company’s Cloud Native Reference Application
Todd Hall discusses Ford’s PCF reference application and its role in describing a default set of patterns and practices for their teams.
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Self-Racing Using Deep Neural Networks: Lap 2
Jendrik Joerdening and Anthony Navarro discuss how a team of Udacity students used neural networks to teach a car to drive by itself around a track in two days.
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Counting is Hard: Probabilistic Algorithms for View Counting at Reddit
Krishnan Chandra explains the challenges of building a view counting system at scale, and how Reddit used probabilistic counting algorithms to make scaling easier.
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Developing Data and ML Pipelines at Stitch Fix
Jeff Magnusson discusses thoughts and guidelines on how Stitch Fix develops, schedules, and maintains their data and ML pipelines.
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Building a Reliable Cloud-Based Bank in Java
Jason Maude talks about the server-side implementation of Starling Bank and shows how, even though Java is over two decades old, it can still be used for cutting edge applications.
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Counterfactual Evaluation of Machine Learning Models
Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.
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Using Artificial Intelligence to Test the Candy Crush Saga Game
Alexander Andelkovic shows how King is training artificial intelligence bots to test its games by mimicking human interactions.
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