InfoQ Homepage QCon San Francisco 2017 Content on InfoQ
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Cloud Native Infrastructure with Kubicorn
Kris Nova talks about Kubicorn and what it means to run a cloud native application that manages underlying cloud native infrastructure through concrete examples from the Kubicorn project.
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Understanding Python Memory at Instagram
Min Ni discusses how Python memory profiling is done at Instagram, insights from memory profiling data, and learnings from tuning and improving Python memory garbage collection.
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You Build It, You Secure It
John Willis talks about how developers and operators can include security in all parts of the delivery pipeline, and implement security gates in the same way as they implement code test gates.
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CI/CD: Lessons from LinkedIn and Mockito
Szczepan Faber talks about two different use cases of implementing continuous delivery at scale: LinkedIn and Mockito. Yet the challenges, benefits & impact on the engineering culture are very similar
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Custom, Complex Windows @Scale Using Apache Flink
Matt Zimmer discusses Apache Flink, how to use it to aggregate events into windows customized along varying definitions of a session, handling out-of-order events, and more.
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Automating Netflix ML Pipelines with Meson
Davis Shepherd and Eugen Cepoi discuss the evolution of ML automation at Netflix and how that lead them to build Meson, challenges faced and lessons learned automating thousands of ML pipelines.
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Fresh Async with Kotlin
Roman Elizarov talks about the traditional async/await approach that is based on futures/promises and how the Kotlin’s solution is providing a safer and easier programming model.
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Designing Services for Resilience: Netflix Lessons
Nora Jones talks about designing microservices for enabling resiliency testing and the moving parts we need to consider when designing them from the get go, and along their lifetime.
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NDBench: Benchmarking Microservices at Scale
Vinay Chella and Ioannis Papapanagiotou discuss Netflix's Cloud benchmark system, how it was integrated with their release cycle, showcasing how multiple instances can be monitored from a single UI.
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Testing in Production - Quality Software Faster
Michael Bryzek discusses building software with no dev, QA or staging environments, diving into “verifying in production” - what it takes to build software tested continuously in production.
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Performance beyond Throughput: An OpenJ9 Case Study
Marius Pirvu talks about the new advancements in the area of JVM performance using the latest open source JVM technology at Eclipse OpenJ9 running with OpenJDK.
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Polyglot Persistence Powering Microservices
Roopa Tangirala takes a look at Netflix’s common platform used to manage, maintain, and scale persistence infrastructures, sharing the benefits, pitfalls, and lessons learned along the way.
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