Moving from DynamoDB to tiered storage with MySQL+S3
Originally we implemented a feature to persist an event-stream into DynamoDB to allow customers to retrieve them. This proved effective, serving as a strong use case for a key/value storage, yet the drawback was its high cost. Moving to provisioned billing-mode reduced cost by ~50%, but that was not going to be sustainable as we scaled to more customers. We also kept multiplying the cost each time
クックパッド開発者ブログ
Build with DynamoDB | S1 E1 – Intro to Amazon DynamoDB
In this first episode, we take a few minutes to share the latest news about Amazon DynamoDB, followed by a hands-on session on geting started with DynamoDB. Along the way, we talk about the fundamental concepts including basic operations as well as what makes DynamoDB a reliable and massively scalable database. Last but not least, bring your questions—“Ask me anything” style—about DynamoDB. Learn
サーバーレス失敗談 - DynamoDB編 / Serverless Fails
Serverless Meetup Tokyo #11 での発表で使用したスライドです。 外部リンク: Serverless Meetup Tokyo #11 https://serverless.connpass.com/event/119559/ HiCustomer https://hicustomer.jp ServerlessなサービスのBlue/Greenデプロイメントの現実 | HiCustomer Tech Blog https://tech.hicustomer.jp/posts/blue-green-deployment-in-serverless/ サーバーレス失敗談 - テーブル設計編 | HiCustomer Tech Blog https://tech.hicustomer.jp/posts/serverless-fails/
AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) - YouTube
Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications. In January 2012, Amazon launched DynamoDB, a cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance, and manageability needed to run mission-critical workloads. This session discloses for the first ti
Advanced Design Patterns for Amazon DynamoDB - DAT403 - re:Invent 2017
Event Sourcing and CQRS are two popular patterns for implementing a Microservices architectures. With Event Sourcing we do not store the state of an object, but instead store all the events impacting its state. Then to retrieve an object state, we have to read the different events related to a certain object and apply them one by one. CQRS (Command Query Responsibility Segregation) on the other ha
【re:Invent 2017】DynamoDB上級セッションレポート [DAT326, DAT403] - サーバーワークスエンジニアブログ
こんにちは。re:Inventから帰ってきました照井です。 re:Invent関連のブログでこれだけは書き上げておきたかった、re:InventでGameDayやAll-inハッカソンなどの体験型イベントを除いた通常のセッションの中で一番内容が濃く面白かったDynamoDBの上級者向けセッションのレポートをお送りしたいと思います。一つはイマイチでしたが、もう一つが最高に濃くて面白かったです。 DAT326: How DynamoDB Powered Amazon Prime Day 2017 Sales on Prime Day 2017 surpassed Black Friday and Cyber Monday, making it the biggest day ever in Amazon history. An event of this scale requires infr
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AWS re:Invent 2017: [REPEAT] Advanced Design Patterns for Amazon DynamoDB (DAT403-R)
This session, we go deep into advanced design patterns for DynamoDB. This session is intended for those who already have some familiarity with DynamoDB and are interested in applying the design patterns covered in the DynamoDB deep dive session and hands-on labs for DynamoDB. The patterns and data models discussed in this presentation summarize a collection of implementations and best practices le
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Making KVS 10x Scalable
1) The document proposes making a key-value storage system (CDP KVS) 10 times more scalable to support real-time data delivery. 2) Three ideas are presented: using an alternative distributed KVS, implementing a storage hierarchy on the existing KVS, and shipping edit logs to indexed archives. 3) The storage hierarchy approach of partitioning, compressing, and writing data to DynamoDB in batches is
DynamoDBのパーティション分割問題について｜ハンズラボエンジニアブログ｜ハンズラボ株式会社
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PowerPoint Presentation
AWS re:Invent 2019: Data modeling with Amazon DynamoDB (CMY304)
AWS Dev Day Tokyo 2018 | Amazon DynamoDB Backed な テレコムコアシステムを構築・運用してる話
Serverlessを極めるためにDynamoDBデータモデリングを極めよう / Let’s become the master of DynamoDB Data Modeling to become the master of Serverless - Speaker Deck