InfoQ Homepage QCon San Francisco 2019 Content on InfoQ
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Taming Large State: Lessons from Building Stream Processing
Sonali Sharma and Shriya Arora describe how Netflix solved a complex join of two high-volume event streams using Flink.
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Reflecting on a Life Watching Movies and a Career in Security
Jason Chan talks about some trends in the movie industry that relate well to similar changes in technology and security.
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Linux Foundation's Project EVE: a Cloud-Native Edge Computing Platform
Roman Shaposhnik covers design and implementation of a novel Edge Computing platform created at ZEDEDA Inc. and later used as a founding project for the Linux Foundation's LF Edge initiative.
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Stop Talking & Listen; Practices for Creating Effective Customer SLOs
Cindy Quach discusses some of the common pitfalls that arise from collecting and analyzing service data such as only using 'out-of-the-box' metrics and not having feedback loops.
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Five Simple Tools to Unlock Innovation
Sarah Shewell talks about the 5 tools to help ignite innovation and expose unspoken customer needs, tools that come from each phase of the design thinking framework.
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Probabilistic Programming for Software Engineers
Michael Tingley provides a preview of how Facebook is advancing probabilistic programming, as well as some of the big problems they used it to solve.
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Anti-Entropy Using CRDTs on HA Datastores @Netflix
Sailesh Mukil briefly introduces Dynomite, offers a deep dive on how anti-entropy is implemented and talks about the underlying principles of CRDTs that make this possible.
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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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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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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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