InfoQ Homepage Infrastructure Content on InfoQ
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Beyond POSIX - Adventures in Alternative Networking APIs
Michael Barker surveys some of the alternative APIs available on various platforms, discussing some of the implementation pitfalls. He also looks at the impact of using these APIs.
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Robust Foundation for Data Pipelines at Scale - Lessons from Netflix
Jun He and Harrington Joseph share their experiences of building and operating the orchestration platform for Netflix’s big data ecosystem.
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Building and Scaling a Control Plane for 1000s of Kafka Clusters
Gwen Shapira and Vivek Sharma discuss some architectural highlights of building, evolving and scaling a control plane for thousands of Kafka clusters, and some challenges encountered.
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Production Infrastructure Cloning++: Reliability and Repeatability
JD Palomino discusses how they have developed a cloud and product-agnostic infrastructure pipeline to handle extra steps and custom configuration, with no special exceptions.
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Security and the Language of Intent
Tracy Holmes and Petros Kolyvas discuss why the language of security for infrastructure is often lost in translation and how policy as code can help.
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Lessons Learned from Reviewing 150 Infrastructures
Jon Topper presents a structured review of the architectural and operational choices of 150 platform teams, talking about common mistakes and providing advice on how to avoid these.
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Moving beyond Request-Reply: How Smart APIs Are Different
Bernd Ruecker talks about real-life experiences around typical architecture patterns and why people have to carefully think about boundaries and responsibilities of their components.
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More Devs, No Problems: Enabling Self-Service Access to Kubernetes
Fabio Yeon discusses how Tanzu Mission Control helps with security and management of Kubernetes clusters.
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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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Real-Time Data Streaming with Azure Stream Analytics
Alexander Slotte introduces Azure Stream Analytics, its ecosystem, and real world examples streaming Twitter feeds as well as sensor data from Raspberry Pi.
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What Does It Mean to Be a Data Scientist? Definitions and Lessons Learned from the Trenches
Brian Korzynski discusses what Data Science and Big Data are, focusing on the data preparation that needs to take place, and making a distinction between ML issues and programming.
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Big Data Legal Issues. GDPR and Contracts
Anton Tarasiuk discusses the legal issues that can be encountered when dealing with Big Data, GDPR and contracts.
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