InfoQ Homepage Best Practices Content on InfoQ
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When Models Go Rogue: Hard Earned Lessons on Using Machine Learning in Production
David Talby summarizes best practices & lessons learned in ML, based on nearly a decade of experience building & operating ML systems at Fortune 500 companies across several industries.
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Engineering You
Lynn Langit and Martin Thompson explore the individual practices and techniques that can help bring out the engineer in us.
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Data Cleansing and Understanding Best Practices
Casey Stella talks about discovering missing values, values with skewed distributions and likely errors within data, as well as a novel approach to finding data interconnectedness.
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From Data Science to Production–Deploy, Scale, Enjoy
Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
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From Commit to Production in 10 Minutes at a Century Old Insurance Company
Dave Ehringer shares the experiences instating CI/CD at Liberty Mutual and the best practices they picked up along the way, using Cloud Foundry and Spring.
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No Time Like the Present - Establishing Technology as a Core Competency at Allstate
Opal Perry talks about how Allstate is building new applications that are evolutions of their core business, and modernizing decades of legacy investment.
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Beyond Basic Angular Architecture
Jon Harding discusses design patterns and best practices to create scalable applications, build processes to prepare for production and tips to prepare for transitioning to Angular 2.
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The Five Stages of Cloud Native
Casey West talks about anti-patterns and corresponding best practices based on his experience building application infrastructure and platforms, as well as the applications which are deployed to them.
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Scaling Organizations
Alexander Grosse discusses the principles behind building successful organizations that are growing with examples from SoundCloud and Twitter.
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Machine Learning Fast and Slow
Suman Deb Roy talks about some of Betaworks’ internal data tools and platform, product-specific solutions and best practices they learned when machine learning has to drive the startup road.
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Lessons Learned on Uber's Journey into Microservices
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money.
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Best Practices Using The CDT Debugger
Marc Khouzam presents best practices for debugging using dynamic printf, reverse debugging, the GDB console, the standalone debugger, a Docker container and connecting CDT to a running GDB session.
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