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microservicesに分割する際に注意するべき5つのこと - Qiita
はじめに マーティンファウラーがmicroservicesの記事で、小さな役割をもったサービス群にアプリケーションを分割することを提案しています。 cookpadが、サービスをマイクロサービス群に分割していることの記事が注目を浴びており、最近急速にバズワード化しているように感じます。 バズワード化して、ポイントが損なわれる前にいくつかの注意点をまとめておきます。 1.インフラコストは基本的に増大する microservicesは、今まで単一のアプリケーションコードで行われていたことを複数のサービスサーバーに分割して管理・運営していくことです。ですので、プロセスを跨いだ通信が大量に発生します。その結果、サーバー台数は増大します。 つまり、インフラコストの増大と開発速度の高速化のコスト感覚をバランスして判断していく必要があります。疎結合性が高まり、アーキテクチャとしては美しく感じますが、実施に
マイクロサービスフレームワークArmeriaを始める - きしだのHatena
Armeriaのチュートリアルを書いてみる https://line.github.io/armeria/index.html RESTサーバーとして使う まずは、プロジェクトを用意します。 dependencyにcom.linecorp.armeria:armeria:0.62.0を追加します。 mavenの場合、次のようなpom.xmlを用意します。 <?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation= "http://maven.apache.org/POM/4.0.0 http://maven.apache.or
NGINX Unit - Universal Web App Server | NGINX
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txti - Fast web pages for everybody
Txti has retired. Txti was created in 2014 with a simple and benevolent mission: to play a part in a more globally accessible internet. Our slogan was "fast web pages for everybody," and it worked! Txti served millions of people, with well over half a million fast web pages created. Since then, the whole world has changed. Now, there is less need for web pages that work on flip phones, and more ne
@Component、@Service、@Repository、@Controllerの違いについて - Qiita
Spring MVCでコントローラー層のクラスに付与する。 Controller は、主に以下の役割を担う。 ・画面遷移の制御 ・ドメイン層の Service の呼出 (主処理を実行する) @Controller @RequestMapping("findProduct") public class FindProductController { @Inject FindProductService findProductService; @RequestMapping(value="list") public String list(Model model) { Collection<Product> products = findProductService.findAll(); model.addAttribute("products", products); return "pro
Manhattan software deployments: how we deploy Twitter’s large scale
Insights Manhattan software deployments: how we deploy Twitter’s large scale Twitter’s Manhattan distributed database is one of the primary data stores at Twitter, serving Tweets, Direct Messages, and advertisements, among other use cases. We want to share the challenges of handling Manhattan software deployments and our approach to solving them. The Manhattan service runs on clusters of thousands
systemd.unit
Synopsisservice.service, socket.socket, device.device, mount.mount, automount.automount, swap.swap, target.target, path.path, timer.timer, slice.slice, scope.scope /etc/systemd/system.control/* /run/systemd/system.control/* /run/systemd/transient/* /run/systemd/generator.early/* /etc/systemd/system/* /etc/systemd/system.attached/* /run/systemd/system/* /run/systemd/system.attached/* /run/systemd/g
Building DistributedLog: High-performance replicated log service
Infrastructure Building DistributedLog: High-performance replicated log service At Twitter, we’ve used replicated logs to address a range of challenging problems in distributed systems. Today we’d like to tell you about DistributedLog, our high-performance replicated log service, and how we used it to address one of these problems. Last year, we provided an in-depth look at Manhattan, Twitter’s di
Peter Bourgon · Go: Best Practices for Production Environments
(This was originally a talk at GopherCon 2014. Find the slides here, and the video here.) (This article has been updated for 2016.) At SoundCloud, we structure our product as an API with many clients. That is, our main website, mobile client, and mobile apps are all first-order clients of a single main API. Behind that API is a universe of services: SoundCloud operates basically as a Service-Orien
Helps you find whether the website you are trying to browse is down or not. Check if the website is down just for you or everyone around the globe.
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generatedata.com
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Making a RESTful JSON API in Go
Meet “Great Cannon,” the man-in-the-middle weapon China used on GitHub