MyRocks Performance
In this blog post, I’ll look at MyRocks performance through some benchmark testing. As the MyRocks storage engine (based on the RocksDB key-value store http://rocksdb.org ) is now available as part of Percona Server for MySQL 5.7, I wanted to take a look at how it performs on a relatively high-end server and SSD storage. I wanted to check how it performs for different amounts of available memory f
35% Faster Than The Filesystem
1. Summary SQLite reads and writes small blobs (for example, thumbnail images) 35% faster¹ than the same blobs can be read from or written to individual files on disk using fread() or fwrite(). Furthermore, a single SQLite database holding 10-kilobyte blobs uses about 20% less disk space than storing the blobs in individual files. The performance difference arises (we believe) because when working
Go 言語のプロファイル機能とネットワークコネクションにまつわるトラブルシューティング
ヤフー株式会社は、2023年10月1日にLINEヤフー株式会社になりました。LINEヤフー株式会社の新しいブログはこちらです。LINEヤフー Tech Blog インフラエンジニア見習いの森本です。これまで数年ほどサーバーサイドエンジニアとして開発ばかりをしてきた人が最近インフラエンジニアになりました。 3月末に開催された Go Conference 2017 Spring で開発チームの後藤から弊社で開発・運用している AWS S3 互換の分散オブジェクトストレージ Dragon についての発表がありました。 Goでヤフーの分散オブジェクトストレージを作った話 私は Dragon の運用を担うチームに所属しており、本稿ではその業務の中で発生したトラブルシューティングについて紹介したいと思います。 分散オブジェクトストレージ Dragon で発生していた課題 Dragon で gorout
PostgreSQL and MySQL: Millions of Queries per Second
This blog compares how PostgreSQL and MySQL handle millions of queries per second. Anastasia: Can open source databases cope with millions of queries per second? Many open source advocates would answer “yes.” However, assertions aren’t enough for well-grounded proof. That’s why in this blog post, we share the benchmark testing results from Alexander Korotkov (CEO of Development, Postgres Professio
ネットワークでなぜ遅延が生じるのか
Kubernetesでの性能解析 ～なんとなく遅いからの脱却～（Kubernetes Meetup Tokyo #33 発表資料）NTT DATA Technology & Innovation
Application Pauses When Running JVM Inside Linux Control Groups
Application Pauses When Running JVM Inside Linux Control GroupsCauses and Solutions Linux cgroups-based solutions (e.g., Docker, CoreOS) are increasingly being used to host multiple applications on the same host. We have been using cgroups at LinkedIn to build our own containerization product called LPS (LinkedIn Platform as a Service) and to investigate the impact of resource-limiting policies on
High Performance Go Workshop
High Performance Go Workshop Mercari 11 April 2018 Dave Cheney License and Materials This presentation is licensed under the Creative Commons Attribution-ShareAlike 4.0 International licence. The materials for this presentation are available on GitHub: github.com/davecheney/high-performance-go-workshop You are encouraged to remix, transform, or build upon the material, providing you give appropria
Go performance tales
Jason Moiron @jmoiron is a Datadog Software Engineer and runs his own blog where this blog was originally posted. We’re thrilled that Jason gave us the opportunity to share his post with the Datadog community. The last few months I’ve had the pleasure of working on a new bit of intake processing at Datadog. It was our first production service written in Go, and I wanted to nail the performance of
Kernel Recipes 2015: Solving the Linux storage scalability bottlenecks
lash devices introduced a sudden shift in the performance profile of direct attached storage. With IOPS rates orders of magnitude higher than rotating storage, it became clear that Linux needed a re-design of its storage stack to properly support and get the most out of these new devices. This talk will detail the architecture of blk-mq, the redesign of the core of the Linux storage stack, and the
Azure Premium Storage: ハイ パフォーマンス用に設計する - Azure Virtual Machines
適用対象: ✔️ Linux VM ✔️ Windows VM ✔️ フレキシブル スケール セット ✔️ 均一スケール セット この記事では、Azure Premium Storage を使用して高パフォーマンスのアプリケーションを構築するためのガイドラインを示します。 このドキュメントで説明する手順は、アプリケーションで使用されているテクノロジに適用できるパフォーマンスのベスト プラクティスと組み合わせて使用できます。 ガイドラインを示すために、このドキュメント全体を通じて、Premium Storage で実行されている SQL Server を例として使用しています。 この記事では、ストレージ層のパフォーマンスのシナリオに対処していますが、アプリケーション層を最適化する必要があります。 たとえば、Premium Storage で SharePoint ファームをホストしている場合
that one thing that one time
2016-07-24 Rust Performance: A story featuring perf and flamegraph on Linux Gaining some performance wins in a Rust program with a 7 line diff, using cargo bench, perf, and flamegraph on Linux. Contextahoy I'm working on a Rust program which does intensive analysis of hundreds of gigabytes of data. This last week I spent a couple of days working on improving runtime performance, and eventually hit
Tumblr: Hashing Your Way to Handling 23,000 Blog Requests per Second - High Scalability -
« Sponsored Post: Apple, Gawker, FoundationDB, Monitis, Cie Games, BattleCry, Surge, Cloudant, CopperEgg, Logentries, Couchbase, MongoDB, BlueStripe, AiScaler, Aerospike, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For August 1st, 2014 » This is a guest post by Michael Schenck, SRE Staff Engineer at Tumblr. At Tumblr, blogs (or Tumblelog) are one of our most
SREcon: Performance Checklists for SREs 2016
Recent posts: 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan@Intel.com 15 Apr 2022 » Netflix End of Series 1 09 Apr 2022 » TensorFlow Library Performance 19 Mar 2022 » Why Don't You Use ... 26 Sep 2021 » The Speed of Time 06 Sep 2021 »
Measuring Intel Hyper-Thread Overhead
Multi-core processors are capable of running multiple software streams/tasks concurrently. Multi-core allows a physical processor to simultaneously execute instructions from multiple processes or threads. Core of a processor is the part that executes application instructions. Core is shared by hardware threads (called Hyper-Threads). When two hyper-threads are active in the same core, it results i
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The History of etcd | CoreOS
https://github.com/dgryski/go-perfbook/blob/master/performance.md
[社内勉強会]ELBとALBと数万スパイク負荷テスト![[社内勉強会]ELBとALBと数万スパイク負荷テスト](https://cdn-ak-scissors.b.st-hatena.com/image/square/2d66722d28b188f243f0cd881f7598f699791ab1/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Felbalb-160822022623-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
Benchmarking Top NoSQL Databases - Apache Cassandra, Couchbase, HBase, and MongoDB
GoCon 2016.04 MO Game Server
