Amazon Auroraの先進性を誰も解説してくれないから解説する - Qiita
TL;DR; Amazon AuroraはIn-Memory DBでもなくDisk-Oriented DBでもなく、In-KVS DBとでも呼ぶべき新地平に立っている。 その斬新さたるやマスターのメインメモリはキャッシュでありながらWrite-BackでもなくWrite-Throughでもないという驚天動地。 ついでに従来のチェックポイント処理も不要になったのでスループットも向上した。 詳細が気になる人はこの記事をチェキ！ Amazon AuroraはAWSの中で利用可能なマネージド(＝運用をAWSが面倒見てくれる)なデータベースサービス。 ユーザーからはただのMySQL、もしくはPostgreSQLとして扱う事ができるのでそれらに依存する既存のアプリケーション資産をそのまま利用する事ができて、落ちたら再起動したりセキュリティパッチをダウンタイムなしで(!?)適用したりなどなどセールストー
GitHub - Tencent/paxosstore: PaxosStore has been deployed in WeChat production for more than two years, providing storage services for the core businesses of WeChat backend. Now PaxosStore is running on thousands of machines, and is able to afford billion
PaxosStore is a distributed-database initially inspired by Google MegaStore. It's the second generation of storage system developed to support current WeChat sevice and applications. PaxosStore has been deployed in WeChat production for more than four years, providing storage services for the core businesses of WeChat backend including user account management, user relationship management (i.e., c
Index 1,600,000,000 Keys with Automata and Rust - Andrew Gallant's Blog
It turns out that finite state machines are useful for things other than expressing computation. Finite state machines can also be used to compactly represent ordered sets or maps of strings that can be searched very quickly. In this article, I will teach you about finite state machines as a data structure for representing ordered sets and maps. This includes introducing an implementation written
PMem.io
Persistent Memory is RevolutionaryThis site brings the world of Persistent Memory (PMem) to a community of diverse skill levels from beginner to expert across many different job functions – Developers, Infrastructure, DevOps, CTO, and more. Start your journey Join the community What is Persistent Memory?The term persistent memory is used to describe technologies which allow programs to access data
GitHub - heavyai/heavydb: HeavyDB (formerly OmniSciDB)
HeavyDB is an open source SQL-based, relational, columnar database engine that leverages the full performance and parallelism of modern hardware (both CPUs and GPUs) to enable querying of multi-billion row datasets in milliseconds, without the need for indexing, pre-aggregation, or downsampling. HeavyDB can be run on hybrid CPU/GPU systems (Nvidia GPUs are currently supported), as well as on CPU-o
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The World’s First Middle-Out Compression for Time-series Data — Part 1
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Crystal: Software-Defined Storage for OpenStack Swift
GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.
