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From Batch to Streaming to Both
Herman Schaaf talks about Skyscanner’s journey to implement their data platform to stream and store millions of events per second.
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Controlled Chaos: Taming Organic, Federated Growth of Microservices
Tobias Kunze focuses on the challenges that result from organic, federated growth and the patterns that can be applied to monitor and control these dynamic systems.
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How to Use Encryption for Defense in Depth in Native and Browser Apps
Isaac Potoczny-Jones discusses the pros and cons of application-level and end-to-end encryption.
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Kafka: A Modern Distributed System
Tim Berglund covers Kafka's distributed system fundamentals: the role of the Controller, the mechanics of leader election, and the role of Zookeeper today and in the future.
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Monolith Decomposition Patterns
Sam Newman shares some key principles and a number of patterns to use to incrementally decompose an existing system into microservices.
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A Brief History of the Future of the API
Mark Rendle talks about the various technologies and standards from across the years, the pros and cons of each, and which solutions are appropriate for which problems.
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Metaphors We Create By
Jabari Bell discusses metaphor and its influence on social consciousness.
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Machine Learning on Mobile and Edge Devices with TensorFlow Lite
Daniel Situnayake talks about how developers can use TensorFlow Lite to build machine learning applications that run entirely on-device.
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Panel: Microservices - Are They Still Worth It?
The panelists have moved from the monolith to microservices and in some cases back again and they have strong opinions on monorepos, on operating distributed systems.
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Panel: JavaScript - Is the Insanity Over?
Is JavaScript finally ready to make developers happy? Are the days of transpiling really numbered? People seem to be stuck with JavaScript, but the developer experience might just be getting better.
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My Team Is High Performing But Everyone Hates Us
Stephen Janaway tells the story of a high performing team, what went well and why they ultimately failed. He shares some lessons about how to keep a high performing team happy and what to avoid.
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Privacy Architecture for Data-Driven Innovation
Nishant Bhajaria discusses how to set up a privacy program and shares tips on how to influence engineering and other teams to own their data and its usage so that privacy is a shared goal.
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