This post can also be found on Nvidia's site. At MapD our goal is to build the world’s fastest big data analytics and visualization platform that enables lag-free interactive exploration of multi-billion row datasets. MapD supports standard SQL queries as well as a visualization API that maps OpenGL primitives onto SQL result sets. Although MapD is fast running on x86-64 CPUs, our real advantage s
外部キー便利!!! MackerelではPostgreSQLで外部キーあり そのレコードがあることが保証される 各テーブルのidにアプリケーションレベル(Mackerelの場合Scala)で型付けをするとなお便利 MemberID型、MonitorID型 → idで誤ったテーブルを引くとかがない 本日のスキーマ CREATE TABLE `member` ( `id` INTEGER unsigned NOT NULL auto_increment, `earned_item_count` INTEGER unsigned NOT NULL DEFAULT 0, `name` VARCHAR(191) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARACTER SET utf8mb4; CREATE TABLE `item`
Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity Peter Bailis, Alan Fekete†, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica UC Berkeley and †University of Sydney ABSTRACT The rise of data-intensive “Web 2.0” Internet services has led to a range of popular new programming frameworks that collectively embody the latest incarnation of the visio
This document discusses using Rails as a backend for front (BFF) layer in a microservices architecture. It describes how Rails was used to build the BFF layer for an e-commerce site called HPB, acting as an API gateway between the client and various backend services. Key points discussed include using Puma to improve throughput, caching APIs to reduce response time, and implementing an API gateway
This document summarizes a microservices meetup hosted by @mosa_siru. Key points include: 1. @mosa_siru is an engineer at DeNA and CTO of Gunosy. 2. The meetup covered Gunosy's architecture with over 45 GitHub repositories, 30 stacks, 10 Go APIs, and 10 Python batch processes using AWS services like Kinesis, Lambda, SQS and API Gateway. 3. Challenges discussed were managing 30 microservices, ensur
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