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Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
Manage episode 487366641 series 3670304
The Binary Breakdown에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Binary Breakdown 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This document describes the design of Amazon Aurora, a cloud-native relational database service built to handle high-throughput, online transaction processing (OLTP) workloads. The paper highlights the challenges of traditional database architectures in cloud environments, specifically the I/O bottleneck created by network traffic. Aurora addresses these issues by leveraging a novel service-oriented architecture where the storage service is decoupled from the database engine. This approach significantly reduces network I/O and enables efficient crash recovery, failover, and self-healing capabilities. The paper further explains how Aurora achieves consensus on durable state across storage nodes through an asynchronous scheme, avoiding expensive and chatty recovery protocols. The authors conclude by sharing insights gained from their customers on the evolving needs of modern cloud applications for database services.
https://assets.amazon.science/dc/2b/4ef2b89649f9a393d37d3e042f4e/amazon-aurora-design-considerations-for-high-throughput-cloud-native-relational-databases.pdf
44 에피소드
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