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How we built our Big Data Stack (almost) entirely on top of Kubernetes // Neylson Crepalde (From DoK Day NA 2022)

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Manage episode 345314604 series 2865115
内容由Data on Kubernetes Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Data on Kubernetes Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)

Abstract

Working with Terabytes of data is a major challenge for organizations both in terms of architecture and cost. In recent years, a new paradigm has emerged in the world of Big Data, that is, implementing the entire architecture for processing massive data from a microservices approach. This architecture proved to be scalable, efficient, with excellent performance, failsafe, portable between different cloud providers and at a lower cost than conventional architectures. In this talk, I will present how my team managed to implement this architecture based on Kubernetes and what were the main gains we had with the innovation.

  continue reading

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Artwork
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Manage episode 345314604 series 2865115
内容由Data on Kubernetes Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Data on Kubernetes Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)

Abstract

Working with Terabytes of data is a major challenge for organizations both in terms of architecture and cost. In recent years, a new paradigm has emerged in the world of Big Data, that is, implementing the entire architecture for processing massive data from a microservices approach. This architecture proved to be scalable, efficient, with excellent performance, failsafe, portable between different cloud providers and at a lower cost than conventional architectures. In this talk, I will present how my team managed to implement this architecture based on Kubernetes and what were the main gains we had with the innovation.

  continue reading

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