InfoQ Homepage QCon San Francisco 2014 Content on InfoQ
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Tumblr - Bits to Gifs
John Bunting talks about different services Tumblr has built and how their architecture helps them be fault tolerant as they continue to grow.
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Continuous Delivery Without Breaking Everything
Andy Vaughn gives attendees a case study of how changing the development model and release cycle of a 5 year old software product to continuous delivery greatly improved the product.
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Panel: The Challenges of Using Functional Languages
Panelists discuss which issues have an impact on the adoption of functional languages, hear how our speakers have addressed these issues and of course we'll have time for a Q&A.
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Continuous Delivery for the Rest of Us
Lisa Van Gelder provides simple tips and tricks for improving delivery without investing lots of time up front creating complex deployment frameworks.
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How DevOps and the Cloud Changed Google Engineering
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
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Faster Object Arrays
Gil Tene introduces org.ObjectLayout and StructuredArray, the APIs and design considerations that allow Java JDKs to match C on data structure access speeds.
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Unified Big Data Processing with Apache Spark
Matei Zaharia talks about the latest developments in Spark and shows examples of how it can combine processing algorithms to build rich data pipelines in just a few lines of code.
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My Three Ex’s: A Data Science Approach for Applied Machine Learning
Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time
Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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High Throughput Stream Processing with ACID Guarantees
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
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