InfoQ Homepage QCon San Francisco 2016 Content on InfoQ
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Creating a Culture of Observability at Stripe
Cory Watson talks about people, their needs and how to make them awesome.
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Hardware & Provisioning Engineering @Twitter
M. Singer and N. Johnson present the Provisioning Engineering system at Twitter, called Wilson, which together with Audubon is designed to handle every part of a server's lifecycle.
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Goodbye PrintGCDetails... and Other JDK 9 Changes!
Tony Printezis talks about the major changes and improvements coming in JDK 9 that will affect (but also help) anyone who's interested in Java performance monitoring, profiling, and tuning.
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Taming Complexity with Object-Oriented UX
Sophia Voychehovski discusses all the factors that cause complexity, the three key ways one can wrangle it and object-oriented UX.
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Further Together: Curated Pairing Culture @Pivotal
Neha Batra presents her experience with pair programming at Pivotal Labs. They pair program eight hours/day every workday and help enable other companies to practice it with them.
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Performance and Search
Dan Luu discusses how to estimate performance using back of the envelope calculations that can be done in minutes or hours, even for applications that take months or years to implement.
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Design Guidelines for Conversational Interfaces
Angie Terrell discusses the current state of conversational interfaces and human-centered design principles to guide the design of conversational apps.
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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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Real-Time Recommendations Using Spark Streaming
Elliot Chow discusses the data pipeline that they built with Kafka, Spark Streaming, and Cassandra to process Netflix user activities in real time for the Trending Now row.
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Enabling Awesome Engineering Teams
Alexandre Freire discusses what his team has learned through experiments, from the very fundamentals of what a team needs to be successful to Modern Agile engineering techniques.
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Stream Processing & Analytics with Flink @Uber
Danny Yuan discusses how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing.
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Demistifying DynamoDB Streams
Akshat Vig and Khawaja Shams discuss DynamoDB Streams and what it takes to build an ordered, highly available, durable, performant, and scalable replicated log stream.
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