InfoQ Homepage Scalability Content on InfoQ
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ML for Question and Answer Understanding @Quora
Nikhil Dandekar discusses how Quora extracts intelligence from questions using machine learning, including question-topic labeling, removing duplicate questions, ranking questions & answers, and more.
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Scaling Slack
Bing Wei examines the limitations that Slack's back-end ran into and how they overcame them to scale from supporting small teams to serving large organizations of hundreds and thousands of users.
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Handling Billions of Edges in a Graph Database
Michael Hackstein discusses graph databases, the current scalability problems and their solutions.
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Scale @Reddit Triple Team Size w/o Losing Control
Nick Caldwell discusses his engineering team's approach to Agile development as they scaled from 40 to 120 engineers.
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The Anatomy of a Distributed System
Tyler McMullen talks through the components and design of a real system, built to perform very high volumes of health checks, done across a cluster of machines for reliability and scalability.
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Deep Learning @Google Scale: Smart Reply in Inbox
Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox
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Loquat: A Design for Large-scale Distributed Applications
Christopher Meiklejohn introduces Loqaut, a design for large-scale actor programming on the Erlang virtual machine.
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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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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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Scaling with Apache Spark
Holden Karau looks at Apache Spark from a performance/scaling point of view and what’s needed to handle large datasets.
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Deep Learning for Image Understanding at Scale
Stacey Svetlichnaya discusses strategies and challenges building deep learning systems for object recognition at scale, using automatic labels in Flickr image search as a case study.
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Scaling Your Swagger-Based Web API with Google Cloud Endpoints
Guillaume Laforge presents some of the options and technical solutions to build a scalable API solution using Google Cloud.
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