This document discusses using UniRx (Reactive Extensions for Unity) to make asynchronous network requests in a reactive and error-handling manner. Key points include: 1. Wrapping ObservableWWW requests in an ObservableClient to handle errors, timeouts, and retries in a consistent way across methods. 2. Using LINQ operators like Select, Catch, and Timeout to process the network response and handle
PPLサマースクール2016「商用Java処理系の研究開発」のパート2です. http://ppl.jssst.or.jp/index.php?ss2016 Java言語処理系の実装について詳説する.まずJava仮想マシンの概要について述べ,その主要な構成要素として,クラス管理とインタープリタ,ヒープ管理とガベージコレクション,スレッド管理と同期機構,JITコンパイラとの連携,などについて説明する.性能改善のために行った各種手法についても触れる. 他のパート 1 Javaの登場と発展 http://www.slideshare.net/Tamiya_Onodera/java-66081108 2 Java仮想マシンの実装技術 http://www.slideshare.net/KiyokuniKawachiya/java-66003903 3 Java Just-In-Timeコンパイラの
- Implicit function types are a powerful way to abstract over contexts by defining types that inject implicit values into a scope. This can fundamentally change the code we write by removing boilerplate around passing implicit parameters and configurations. - Implicit parameters are a core Scala feature that allow removing repetition through parameterization while enabling use cases like proving t
Scala and Akka work well for building resilient and concurrent Android applications like VoIP systems. The actor model in Akka helps encapsulate stateful components and handle errors gracefully. While some challenges exist like dex method limits and Proguard configuration, Scala has been successfully used in large Android apps and provides benefits like a powerful language and ecosystem compared t
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
This document summarizes an AWS User Group meeting in Japan hosted by Hiro Fukami of Fluxflex. It includes: 1. A presentation on Fluxflex, an innovative web hosting platform that uses AWS products like EC2, S3, SQS, and Elastic Load Balancing for auto scaling and no server management. 2. Updates on game companies like Zynga, RockYou Asia, and gumi adopting AWS in Japan. 3. An announcement of a dem
PPLサマースクール2016「商用Java処理系の研究開発」のパート2です. http://ppl.jssst.or.jp/index.php?ss2016 Java言語処理系の実装について詳説する.まずJava仮想マシンの概要について述べ,その主要な構成要素として,クラス管理とインタープリタ,ヒープ管理とガベージコレクション,スレッド管理と同期機構,JITコンパイラとの連携,などについて説明する.性能改善のために行った各種手法についても触れる. 他のパート 1 Javaの登場と発展 http://www.slideshare.net/Tamiya_Onodera/java-66081108 2 Java仮想マシンの実装技術 http://www.slideshare.net/KiyokuniKawachiya/java-66003903 3 Java Just-In-Timeコンパイラの
This document discusses using Spring Cloud Netflix to connect microservices. It covers: - An overview of Netflix and Spring Cloud - How to use Spring Cloud Netflix libraries like Eureka, Ribbon and Hystrix to implement service discovery, load balancing and fault tolerance between microservices - Demos of creating Eureka service registry and registering producer/consumer servicesRead less
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く