Presentation: Building Pinterest's Mobile Apps
Pinterest ships new versions of its mobile apps to users every three weeks, providing a fast, visual experience that allows users to quickly scan through hundreds of "Pins", rich digital representations of objects, places, articles and experiences. We use real time data to understand how our users are interacting with our apps in order to develop new features and improve upon our platform.
Mike Beltzner will describe how we keep our "release trains" running on time, and the tools and techniques we use to keep our platform stable and responsive to the needs of our users.
Garrett Moon will dive into some of the technology we've developed to support the particular nature of Pinterest, allowing us to quickly load and display images in a dynamically laid out grid without quickly overwhelming memory and processing constraints. He will focus on how we combine our own technology with open source libraries to create a fast, responsive platform upon which we can innovate quickly.
Tracks
Covering innovative topics
Monday, 3 November
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Architectures You've Always Wondered about
The newest and biggest Internet architectures
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Real World Functional
Putting functional programming concepts to work in the real world.
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The Future of Mobile
The future of mobile and performance improvements
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Continuous Delivery: From Heroics to Becoming Invisible
Continuous Delivery philosophies, cultures, hiccups, and best practices.
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Unleashing the Power of Streaming Data
This track explores a variety of use-cases, platforms, and techniques for processing and analyzing stream data from the companies deploying them at scale!
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Sponsored Solutions Track I
Tuesday, 4 November
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Engineering for Product Success
Architectures that make products more successful
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Reactive Service Architecture
Reactive, Responsive, Fault Tolerant and More.
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Modern CS In the Real World
How modern CS tackles problems in the real world.
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Applied Machine Learning and Data Science
Understand your big big data!
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Deploying at Scale
Containerizing Applications, Discovering Services, and Deploying to the Grid.
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Sponsored Solutions Track II
Wednesday, 5 November
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Beyond Hadoop
Emerging Big Data Frameworks and Technology
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Scalable Microservice Architectures
This track addresses the ways companies with hundreds of fine-grained web-services (e.g. Netflix, LinkedIn) manage complexity!
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Java at the Cutting Edge
The latest and greatest in the Java ecosystem
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Engineering culture
Successes and failures in creating an engineering culture.
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Next gen HTML5 and JS
How Web Components, the Future of CSS, and more are changing the web.
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Sponsored Solutions Track III