InfoQ Homepage Scalability Content on InfoQ
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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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Moving Past the Scaling Myth
Michael Feathers examines the notion of scale variant structuring and what systems design could look like without the assumption that structural reorganization at different scales is not necessary.
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Scaling Instagram Infrastructure
Lisa Guo overviews Instagram's infrastructure, its history, multi-data center support, tuning uwsgi parameters for scaling, performance monitoring and diagnosis, and Django/Python upgrade.
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Machine Learning at Scale
Aditya Kalro discusses using large-scale data for Machine Learning (ML) research and some of the tools Facebook uses to manage the entire process of training, testing, and deploying ML models.
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Deep Learning at Scale
Scott Le Grand describes his work at NVidia, Amazon and Teza, including the DSSTNE distributed deep learning framework.
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Scaling up Near Real-Time Analytics @Uber &LinkedIn
Chinmay Soman and Yi Pan discuss how Uber and LinkedIn use Apache Samza, Calcite and Pinot along with the analytics platform AthenaX to transform data to make it available for querying in minutes.
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Petabytes Scale Analytics Infrastructure @Netflix
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
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Keep Calm and Carry on: Scaling Your Org
Charity Majors talks about what it means to do quality operations and software engineering in the year 2016 and beyond, as well as the implications for engineering teams and social systems.
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