InfoQ Homepage Scalability Content on InfoQ
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Logistics as a Service: Building the Ocado Smart Platform
Paul Sweetman and Alex Harvey discuss how Ocado Technology has built The Ocado Smart Platform, a scalable, AWS-based microservices architecture, combined with GCP analytics and a robotics grid.
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Enterprise Node.JS Apps in 2018
Jamund Ferguson discusses tackling challenges with large-scale Node.js deployments, using async/await to handle errors, and strategies to embrace latest JavaScript technologies.
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
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With Great Scalability Comes Great Responsibility
Dana Engebretson covers the contextual pros and cons of a number of architectural patterns given real world scalability constraints.
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Custom App Auto-Scaler Using Cloud Controller API
Chris Decelles demos building a custom application auto-scaler using the Cloud Foundry’s controller API.
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Scaling Marketplaces at Thumbtack
Nate Kupp shares some of Thumbtack’s key learnings on their journey to scale and their future with fully-managed systems.
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NDBench: Benchmarking Microservices at Scale
Vinay Chella and Ioannis Papapanagiotou discuss Netflix's Cloud benchmark system, how it was integrated with their release cycle, showcasing how multiple instances can be monitored from a single UI.
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Getting Data Science to Production
Sarah Aerni covers the nuts and bolts of the Einstein Platform, a system that enables the automation and scaling of Artificial Intelligence to 1000s of customers, each with multiple models.
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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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