InfoQ Homepage Presentations
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Performance Mythbusting Panel
The panelists answer audience questions on real-world applied performance proofs across stacks including Java, .NET and Python.
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Grokking Leadership via Mentoring
Ivana Mcconnell talks about what good mentorship is and why it's important.
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Developing an Experimentation Culture
Pete Steel discusses several culture traits that drive an effective experimentation environment, the methods that can be used to experiment and some related successes and failures stories.
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Everything You Wanted to Know about GraphQL But Were Afraid to Ask
Mark Drew goes through the fundamentals of the Query Language, structure, use cases and how to get started with consuming and creating GraphQL endpoints.
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Cleaning the Park: Reclaim Your Logging
Matt Campbell discusses how to make error logs easier to consume and harder to avoid, sharing how to drive motivation for a project that feels never-ending.
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Cognitive Services, Next Step in Creating Our Robot Overlords
Harold Pulcher discusses Cognitive Services, how to get started using them, and how to incorporate speech, image, and facial recognition into an application.
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Control Flow Integrity Using Hardware Counters
J. Butler and C. Pierce present a system for early detection and prevention of unknown exploits. Their system uses Performance Monitoring Unit hardware to enforce coarse-grained Control Flow Integrity
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Architecting a Modern Financial Institution
Edward Wible and Rafael Ferreira discuss the key elements that make Nubank tick for millions of customers every day, and some key security decisions they made along the way.
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Scale @Reddit Triple Team Size w/o Losing Control
Nick Caldwell discusses his engineering team's approach to Agile development as they scaled from 40 to 120 engineers.
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From Threat Hunting to Crowd Defense
Richard Zhao talks about TI and AI in real practices, and crowd defense - a way to integrate defense measures against both targeted and untargeted attacks.
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The Anatomy of a Distributed System
Tyler McMullen talks through the components and design of a real system, built to perform very high volumes of health checks, done across a cluster of machines for reliability and scalability.
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The Build Trap
Melissa Perri discusses how to avoid building something for the sake of “building” and not because the customer needs it, encouraging businesses to focus on finding value leading to business goals.
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