InfoQ Homepage Case Study Content on InfoQ
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Spring Data Hazelcast: Fluently Accessing Distributed Repositories
Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
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How We Work Remotely at Particular Software
Don Belcham shares from his experience working for a company where everybody works remotely, what they do about meetings, how collaboration works, and how it compares with a regular company.
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Scaling Counting Infrastructure @Quora
Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.
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Kanban Metrics in Practice
Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.
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Scaling Quality on Quora Using Machine Learning
Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.
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Iterative Design for Data Science Projects
Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.
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Instant and Personal: Searching Your Network at LinkedIn
Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.
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Scaling Dropbox
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
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Twitch Plays Pokémon: Twitch's Chat Architecture
John Rizzo introduces Twitch's chat's architecture, telling how their engineers investigated and worked through the issues in what turned out to be a make-or-break situation for the company.
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Stranger Things: The Forces that Disrupt Netflix
Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.
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What Comes after Microservices?
Matt Ranney talks about the limits that some companies have encountered in their large microservices deployments and some non-microservices approaches to those same problems.
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How Slack Works
Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.
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