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Amazon has recently announced that AWS CodeBuild, its managed build service, now supports building applications on macOS. However, due to Apple's licensing requirements, developers must still reserve a dedicated macOS fleet to utilize this new option.
Uber's microservices architecture, consisting of thousands of services, requires a reliable and efficient system for deploying updates, security patches, and new features. To ensure this process is safe and timely, Uber embraced continuous deployment (CD), automating deployments to production. This has been essential for maintaining code quality and minimizing delays in delivering changes.
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.
By Srini Penchikala, Mandy Gu, Namee Oberst, Roland Meertens, Anthony Alford, Daniel Dominguez
Google has described an approach to use transformer models, which ignited the current generative AI boom, for music recommendation. This approach, which is currently being applied experimentally on YouTube, aims to build a recommender that can understand sequences of user actions when listening to music to better predict user preferences based on their context.
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Welcome to Codetown!
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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AWS CodeBuild Now Supports Mac Builds
Amazon has recently announced that AWS CodeBuild, its managed build service, now supports building applications on macOS. However, due to Apple's licensing requirements, developers must still reserve a dedicated macOS fleet to utilize this new option.
By Renato LosioOptimizing Continuous Deployment at Uber: Automating Microservices in Large Monorepos
Uber's microservices architecture, consisting of thousands of services, requires a reliable and efficient system for deploying updates, security patches, and new features. To ensure this process is safe and timely, Uber embraced continuous deployment (CD), automating deployments to production. This has been essential for maintaining code quality and minimizing delays in delivering changes.
By Claudio MasoloArticle: InfoQ AI, ML and Data Engineering Trends Report - September 2024
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.
By Srini Penchikala, Mandy Gu, Namee Oberst, Roland Meertens, Anthony Alford, Daniel DominguezPodcast: Engineering Leadership: Balancing Autonomy, Growth, and Culture with Michael Gray
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Michael Gray of ClearBank about engineering culture and leadership.
By Michael GrayLeveraging the Transformer Architecture for Music Recommendation on YouTube
Google has described an approach to use transformer models, which ignited the current generative AI boom, for music recommendation. This approach, which is currently being applied experimentally on YouTube, aims to build a recommender that can understand sequences of user actions when listening to music to better predict user preferences based on their context.
By Sergio De Simone