Getting Started with Faktory | Mike Perham
2017-11-13 When I unveiled my new background job system Faktory three weeks ago, I didn’t have an easy path for people to install and try Faktory themselves. Now there is; let’s get it running! Homebrew If you are running macOS, it’s installable with Homebrew: > brew tap contribsys/faktory > brew install faktory ...two minutes pass... > faktory Now open your browser to http://localhost:7420 Docker
RocksDB | A persistent key-value store
High Performance RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. Optimized for Fast Storage RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. Adaptable RocksD
Contributed Systems
Smart, effective tools for your applications. We build world-class open source tools to help you build world-class applications. Background and scheduled jobs Web-based management UI in 25 different languages Error handling, retries with exponential backoff Extensible middleware and full Ruby API Dead job queue Resque compatible
Introducing Faktory | Mike Perham
2017-10-24 Yesterday I explained how a good background job framework is critical to scaling business applications. Today, meet Faktory. I’ve spent the last six months building Faktory, a new background job system which aims to bring the best practices developed over the last five years in Sidekiq to every programming language. The Basics Faktory is a server daemon which provides a simple API to pr
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RocksDB is a storage engine with key/value interface, where keys and values are arbitrary byte streams. It is a C++ library. It was developed at Facebook based on LevelDB and provides backwards-compatible support for LevelDB APIs. RocksDB supports various storage hardware, with fast flash as the initial focus. It uses a Log Structured Database Engine for storage, is written entirely in C++, and ha
米Facebook、自社ストレージエンジンとMySQLを組み合わせた「MyRocks」を発表 | OSDN Magazine
米Facebookは8月31日、自社のストレージエンジン「RocksDB」をMySQLに組み合わせた「MyRocks」を発表した。永続的キーバリューストアのRocksDBをMySQLのバックエンドエンジンとして利用できるもので、社内でも利用しているという。 RocksDBはFacebookが2013年に発表したオープンソースプロジェクト。同社はMySQLを利用してペタバイト級のデータを管理しており、「いいね!」ボタン、コメント、共有などのアクティビティ提供にInnoDBストレージエンジンを利用してきたが、フラッシュストレージ利用時などにInnoDBの性能と信頼性に制限があることから、開発に至った。 Facebooはすでにフラッシュストレージ向けのKey-Balueストア「RocksDB」をオープンソースで公開しているが、今回発表されたMyRocksは、RocksDBをMySQLのストレージ
MyRocks: A space- and write-optimized MySQL database
At Facebook we use MySQL to manage many petabytes of data, along with the InnoDB storage engine that serves social activities such as likes, comments, and shares. While InnoDB provides great performance and reliability for a variety of workloads, it has inefficiencies on space and write amplification when used with flash storage. A few years ago, we built RocksDB, an embeddable, persistent key-val
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GitHub - cjbottaro/faktory_worker_ex: Elixir worker for Faktory
