InfoQ Homepage Case Study Content on InfoQ
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Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year
Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.
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Growing Up Unruly
Rachel Davies shares how Unruly keeps their values alive and kicking by employing passionate people. Unruly has grown from a tiny startup to global organisation, being recently acquired by News.
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CD at LMAX: Testing into Production and Back Again
Sam Adams talks about testing at LMAX Exchange, extending functional tests into live monitoring of production through isolation, and moving fast through incremental delivery, quality and automation.
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An Intelligence Agency in Transition: Succeeding in the Open
Chris Rasmussen discusses NGA's open source strategy, how contributing to open source is changing government partnerships, and the agency's cultural pivot toward a more unclassified future.
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How Comcast Uses Data Science and ML to Improve the Customer Experience
Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.
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Creating a Debt-aware Culture
Aaratee Rao discusses some practical and real world examples of how some well-known hyper growth companies accumulated and managed technical debt.
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Quora's Approach to Moving Fast Sustainably
Nikhil Garg talks about the mental frameworks, processes and tools that allow Quora to strike a good balance and move fast sustainably, both in the short-term and in the long-term.
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Culture and the Games People Play
Roy Rapoport discusses the power of alignment (or lack thereof) using real-world examples, his experience introducing Python in production, and the organizational structures and culture within Netflix
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The Myth of the Qualified Developer
Pete Smith shares from his experience, discussing what it means to fail and how to make the most of it
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Real World Experience Report on Running Docker
Ben Hall shares his experience working with Docket for development, testing and deployment into production, discussing scalability, resource management, security and other related issues.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Real-time Stream Computing & Analytics @Uber
Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.
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