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Efficient reliable UDP unicast, UDP multicast, and IPC message transport. Java, C, and C++ clients are available in this repository, and a .NET client is available. All clients can exchange messages across machines, or on the same machine via IPC, very efficiently. Message streams can be recorded by the Archive module to persistent storage for later, or real-time, replay. Aeron Cluster provides su
【追記】2023年3月21日 YAPC::Kyoto 2023で、ジョブキューシステムFireworqの設計と運用実績も含めて発表されました。id:tarao ++ 【加筆修正】 2020年2月16日 執筆時から6年も経過していますが、たまたまこの記事を振り返る機会があったので、日本語がおかしいところを一部修正したり、一緒に取り組んだ方々の名前が書かれていなかったところを修正しました。 【追記】2017年12年24日 このエントリのジョブキュー実装がFireworqという名でOSSとして公開されました。id:tarao ++ github.com この記事ははてなエンジニアアドベントカレンダー2014の4日目です。 前回は Mackerelで採用している技術一覧とその紹介 - Hatena Developer Blog でした。 社内の開発合宿で、 id:taraoさん、id:hakobe
This repo is old and out of date. I suggest you use version 3.x from https://github.com/OpenHFT/Chronicle-Queue #Chronicle This library is an ultra low latency, high throughput, persisted, messaging and event driven in memory database. The typical latency is as low as 80 nano-seconds and supports throughputs of 5-20 million messages/record updates per second. This library also supports distributed
Google Cloud Messaging for Chromeキター! これでChrome Extensionに対してサーバからプッシュ通知ができる。 グーグル、「Chrome」でプッシュ通知を可能に–「Google Cloud Messaging for Chrome」発表 – CNET Japan Chromium Blog: Building efficient apps and extensions with push messaging Google Cloud Messaging for Chrome – Google Chrome もともとGCM (Google Cloud Messaging) はAndroid向けのテクノロジーで、C2DM (Android Cloud to Device Messaging) の後釜のようなものだった。それがGoogle Chro
LMAX are recruiting once again. If you are interested in working with a great team, with some amazing technology, and think you can add something to the mix then please check out our jobs page. LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Perform
Apache Kafka More than 80% of all Fortune 100 companies trust, and use Kafka. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Manufacturing 10 out of 10 Banks 7 out of 10 Insurance 10 out of 10 Telecom 8 out of 10 10/10 Largest insurance
Project Welcome to the Dempsy project - a framework for the easy implementation of stream-based real-time map-reduce applications. Documentation See the Dempsy User Guide. Since we are updating the documentation frequently, we recommend that you watch the Documentation issue (at the bottom of the issue page click on "Enable notifications for this issue") If you prefer, you can go straight to the
A high-throughput, distributed, publish-subscribe messaging system.Apache Kafka is a distributed publish-subscribe messaging system Apache Kafka is a distributed publish-subscribe messaging system. It is designed to support the following Persistent messaging with O(1) disk structures that provide constant time performance even with many TB of stored messages. High-throughput: even with very modest
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