InfoQ Homepage QCon New York 2016 Content on InfoQ
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Offense at Scale
Chris Rohlf talks about how we look at offense in a world of large containerized deployments and ephemeral environments, explaining why the traditional model is no longer relevant.
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Implementing Infrastructure as Code
Kief Morris discusses building and maintaining a testing and hosting infrastructure for microservices, explaining the creation of a cloud-based infrastructure with Packer, Terraform, and Ansible.
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DevOps'n the Operating System
John Willis takes a look at the history of how Devops principles and operating systems have converged, and demos how containers, unikernels and Devops can work in the future.
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The Nihilist’s Guide to Wrecking Humans & Systems
Christina Camilleri talks about how social engineering can be used in conjunction with technical attacks to create sophisticated and destructive attack chains and shares some real world war stories.
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The Seven (More) Deadly Sins of Microservices
Daniel Bryant talks about the 2016 edition of the seven deadly sins in building microservices, some of the anti-patterns in microservices along with tools for avoiding them.
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Lessons Learned on Uber's Journey into Microservices
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money.
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Modern iOS Application Security
Dan Guido talks about the current state of iOS attacks, reviews available security APIs, why they are not good enough, and the design of the Mobile Application Security Toolkit to address risks.
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Microservices: State of the Union
Adrian Cockcroft discusses success/failure stories of adopting microservices, overviews what’s next with microservices and presents some of the techniques that have led to successful deployments.
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The Netflix API Platform for Server-Side Scripting
Katharina Probst talks about the situations in which server-side scripting is a good solution for applications. She describes Netflix’s first approach, which uses Groovy scripts.
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Handling Streaming Data in Spotify Using the Cloud
Neville Li and Igor Maravić cover the evolution of Spotify’s event delivery system, discussing lessons learned moving it into the cloud using Scio, a high level Scala API for the Dataflow SDK.
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Vowpal Wabbit, A Machine Learning System
John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.
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Large-Scale Stream Processing with Apache Kafka
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.