InfoQ Homepage Infrastructure Content on InfoQ
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Fault Tolerance at Speed
Todd Montgomery discusses the techniques and lessons learned from implementing Aeron Cluster. His focus is on how Raft can be implemented on Aeron.
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Bits and Pieces
Kenneth McAlpine explores how the combination of hardware and performative coding shaped the sound of early video game music, and how it changed the way that composers conceived of and used music.
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Mind Your State for Your State of Mind
Pat Helland provides a partial taxonomy of diverse storage solutions available over a distributed cluster.
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How to Invest in Technical Infrastructure
Will Larson shares Stripe's approaches to prioritizing infrastructure as a company scales, exploring the whole range of possible areas to invest into infrastructure.
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Big Data's Ethical Drought: The Thirst for More Data Has Led to a Lapse in Ethics and Privacy
Katharine Jarmul provides examples of data (mis)use and asking how we can work with data without violating the trust and privacy of users, producing an ethical product?
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Welcome to the Reactive Revolution:RSocket and Spring Cloud Gateway
Spencer Gibb introduces the RSocket protocol and explains how to use it, and shows how to create a messaging gateway through integration with Spring Cloud Gateway.
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Multi-Tenancy in Kubernetes
Katharina Probst discusses both the mechanics and the implications of cluster sharing on cost, isolation, and operational efficiency, including use cases, even challenging ones.
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Putting the Spark in Functional Fashion Tech Analytics
Gareth Rogers shows how his team used Clojure to provide a solid platform to connect and manage an AWS hosted analytics pipeline and the pitfalls they encountered on the way.
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Scaling Infrastructure Engineering at Slack
Julia Grace talks about Slack’s first infrastructure engineering organization, the architectural and organizational challenges, mistakes and war stories since August 2016 to today.
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Automatic Clustering at Snowflake
Prasanna Rajaperumal presents Snowflake’s clustering capabilities as well as their infrastructure to perform maintenance automatically. He covers real-world problems they run into and their solutions.
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Apache Metron in the Real World – Big Data and Cybersecurity, a Perfect Match
Dave Russell takes a look at a number of different organizations who are on their big data cybersecurity journey with Apache Metron.
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Petastorm: A Light-Weight Approach to Building ML Pipelines
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds, simplifies data management and data pipelines, and speeds up model experimentation.
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