Why Uber Engineering Switched from Postgres to MySQL
We’ve represented the old version in red and the new row version in green. Under the hood, Postgres uses another field holding the row version to determine which tuple is most recent. This added field lets the database determine which row tuple to serve to a transaction that may not be allowed to see the latest row version. With Postgres, the primary index and secondary indexes all point directly
Uber Engineering's Tech Stack: The Foundation
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more Uber’s mission is transportation as reliable as running water, everywhere, for everyone. To make that possible, we create and work with complex data. Then we bundle it up neatly as a platform that enables drivers to get business and riders to get around. Screenshots sho
DHHはどのようにRailsのコントローラを書くのか | POSTD
私たちの救世主DHH™は最近の Full Stack Radioのインタビュー で、 Basecamp の最新版で彼がどのようにRailsのコントローラを書いたかを説明しています。下記は、彼のすばらしい話を書き取ったものです。 これまでに思うようになってきたのは、「RESTの原則に従うには、どのタイミングで新たなコントローラを作るべきかを一度決めたら、ほぼ異例なくその原則を遵守するべきだ」ということです。いつだってその方がうまくいくんです。自分の作ったコントローラの状態を悔やむのは決まって、作ったコントローラの数が少なすぎた時です。多くの処理を任せようとしすぎてしまうんです。 そこでBasecamp 3では、ある程度理にかなったサブリソースがあれば、毎回コントローラを分割していきます。フィルタなどの場合ですね。例えば画面があって、それがある状態になっているとします。もしこれにいくつかのフィ
The Stack Behind Netflix Scaling - ScaleScale.com
As we research and dig deeper into scaling, we keep running into Netflix. They are very public with their stories. This post is a round up that we put together with Bryan’s help. We collected info from all over the internet. If you’d like to reach out with more info, we’ll append this post. Otherwise, please enjoy! –Chris / ScaleScale / MaxCDN
Making the Case for Building Scalable Stateful Services in the Modern Era - High Scalability -
« Sponsored Post: IStreamPlanet, Close.Io, Instrumental, Location Labs, Surge, Redis Labs, Jut.Io, VoltDB, Datadog, SignalFx, InMemory.Net, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For October 9th, 2015 » For a long time now stateless services have been the royal road to scalability. Nearly every treatise on scalabil
bliki: Bounded Context
Bounded Context is a central pattern in Domain-Driven Design. It is the focus of DDD's strategic design section which is all about dealing with large models and teams. DDD deals with large models by dividing them into different Bounded Contexts and being explicit about their interrelationships. DDD is about designing software based on models of the underlying domain. A model acts as a UbiquitousLa
How Autodesk Implemented Scalable Eventing over Mesos - High Scalability -
« Sponsored Post: Surge, Redis Labs, Jut.io, VoltDB, Datadog, MongoDB, SignalFx, InMemory.Net, Couchbase, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For August 14th, 2015 » This is a guest post by Olivier Paugam, SW Architect for the Autodesk Cloud. I really like this post because it shows how bits of infrastructure--M
How Google Invented an Amazing Datacenter Network Only They Could Create - High Scalability -
« Why My Water Droplet Is Better Than Your Hadoop Cluster | Main | Stuff The Internet Says On Scalability For August 7th, 2015 » Google with justly earned pride recently announced: Today at the 2015 Open Network Summit, we are revealing for the first time the details of five generations of our in-house network technology. From Firehose, our first in-house datacenter network, ten years ago to our l
Webシステムにおけるデータベース接続アーキテクチャ概論 - ゆううきブログ
先月投稿した2015年Webサーバアーキテクチャ序論では、Webサーバアーキテクチャを学ぶ道のりと代表的な実装モデルの概要を紹介しました。 今回は、前回同様、主に新卒Webエンジニア向けに、Webアプリケーションサーバとデータベースサーバ間の接続管理モデルと運用事情について紹介します。 データベース接続の永続化やコネクションプーリングとは何なのか、なぜ必要なのかといったことが主な話題です。 背景 データベース接続の永続化とはなにか データベース接続のオーバヘッド データベース接続の永続化手法 コネクションプーリングとはなにか コネクションプーリング: ドライバ型 コネクションプーリング: プロキシ型 コネクションプーリング全体について PostgreSQLとMySQL 参考資料 まとめ 背景 2015年Webサーバアーキテクチャ序論では、Webサーバアーキテクチャの話とWebアプリケーショ
社内PaaSの開発運用 // Speaker Deck
Talked at http://www.zusaar.com/event/9057007
bliki: Sacrificial Architecture
You're sitting in a meeting, contemplating the code that your team has been working on for the last couple of years. You've come to the decision that the best thing you can do now is to throw away all that code, and rebuild on a totally new architecture. How does that make you feel about that doomed code, about the time you spent working on it, about the decisions you made all that time ago? For m
Leveraging AWS to Build a Scalable Data Pipeline - High Scalability -
« Sponsored Post: Datadog, Tumblr, Power Admin, Learninghouse, MongoDB, Internap, Aerospike, SignalFx, InMemory.Net, Couchbase, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7 | Main | Gone Fishin' 2015 » While at Netflix and LinkedIn Siddharth "Sid" Anand wrote some great articles for HS. Sid is back, this time as a Data Architect at Agari. Original article is here. Dat
The Reactive Manifesto
Thank you! And spread the word! Remove your signature Organisations working in disparate domains are independently discovering patterns for building software that look the same. These systems are more robust, more resilient, more flexible and better positioned to meet modern demands. These changes are happening because application requirements have changed dramatically in recent years. Only a few
データベース アーキテクチャーの動向と使い分け
QConTokyo ( http://www.qcontokyo.com/KotaUENISHI_2015.html ) の発表スライド
How and Why Swiftype Moved from EC2 to Real Hardware - High Scalability -
« In-Memory Computing at Aerospike Scale: When to Choose and How to Effectively Use JEMalloc | Main | Stuff The Internet Says On Scalability For March 13th, 2015 » This is a guest post by Oleksiy Kovyrin, Head of Technical Operations at Swiftype. Swiftype currently powers search on over 100,000 websites and serves more than 1 billion queries every month. When Matt and Quin founded Swiftype in 2012
AppLovin: Marketing to Mobile Consumers Worldwide by Processing 30 Billion Requests a Day - High Scalability -
This is a guest post from AppLovin's VP of engineering, Basil Shikin, on the infrastructure of its mobile marketing platform. Major brands like Uber, Disney, Yelp and Hotels.com use AppLovin's mobile marketing platform. It processes 30 billion requests a day and 60 terabytes of data a day. AppLovin's marketing platform provides marketing automation and analytics for brands who want to reach their
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GitHub - lsm/micromono: Write microservices in monolithic style
7 Strategies for 10x Transformative Change - High Scalability -
Reactive とは何か？ #reactive_shinjuku
How can we Build Better Complex Systems? Containers, Microservices, and Continuous Delivery. - High Scalability -