InfoQ Homepage QCon San Francisco 2018 Content on InfoQ
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Human-centric Machine Learning Infrastructure @Netflix
Ville Tuulos discusses the tools Netflix built for the data scientists and some of the challenges and solutions made to create a paved road for machine learning models to production.
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CRDTs in Production
Dmitry Martyanov talks about how PayPal developed a distributed system dealing with consistency issues and shares lessons learned in developing the system based on an eventually consistent data store
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Building Resilience in Production Migrations
Sangeeta Handa shares Netflix’s migration stories, what helped them build resilience, why resilience is important, and what Netflix Billing Infrastructure is doing to avoid taking downtime.
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Scaling Slack - The Good, the Unexpected, and the Road Ahead
Mike Demmer talks about the major changes that Slack has made to the service architecture to meet the needs for larger and larger enterprise customers.
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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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Paying Technical Debt at Scale - Migrations @Stripe
Will Larson talks about why migrations are the only mechanism to effectively manage technical debt as their company and code grow, and what makes running them so hard.
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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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Full Cycle Developers @Netflix
Greg Burrell presents Netflix’s journey from siloed teams to their Full Cycle Developer model for building and operating their services at Netflix.
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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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Finding Purpose through the Things We Build
Kortney Ziegler talks about the different moments in life that serve as a catalyst for why we do the things we do, and how we want to spend our time in order to make change in the ways we want to see.
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Deep Representation: Building a Semantic Image Search Engine
Emmanuel Ameisen gives a step-by-step tutorial on how to build a semantic search engine for text and images, with code included.
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The Great Migration: from Monolith to Service-Oriented
Jessica Tai provides an overview of trade-offs and motivation for the SOA migration and discusses Airbnb’s architectural tenets around service building.