Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
20万RPMを捌くRailsアプリケーションの作り方
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
kikunantoka
December 08, 2018
Technology
860
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
20万RPMを捌くRailsアプリケーションの作り方
kikunantoka
December 08, 2018
More Decks by kikunantoka
See All by kikunantoka
個人開発しているサービスのインフラをAWSからGCPに載せ替えた話 💪 / kojin_kaihatsu_night_3
kikunantoka
0
1.3k
Gatsby.jsとCloud Functionsで毎週自動でコンテンツが更新され続けるフレームワーク比較サイトを作った話 / gotanda_js_13
kikunantoka
1
2.4k
Gatsby.jsとCloud Functionsで毎週自動でコンテンツが更新され続けるフレームワーク比較サイトを作った話 / frontend_night_1
kikunantoka
3
1.8k
サービスがゼロからN億円規模になるまに実践した7つのやっていき / 7_yatteiki_battle_conference_u30_2019
kikunantoka
1
1.4k
Gatsby.jsとNetlifyとの付き合い方 / gatsby-js-and-netlify
kikunantoka
3
650
Gatsby.jsで導入事例をバシバシ読めるSPAなLPを作った話 / gatsby-js-for-biz-lp
kikunantoka
2
750
Gatsby.jsで導入事例をバシバシ読めるSPAなLPを作った話 / gatsby-js-for-biz-lp
kikunantoka
1
1.9k
今日から始める Flood.io / fuka-taisaku-night-01
kikunantoka
0
370
MVPに絞ったら個人開発でもちゃんとリリースできた話
kikunantoka
1
570
Other Decks in Technology
See All in Technology
GoCon2026 - Open Source, Open World
sanposhiho
3
3.1k
全員がプロダクトへ向き合う組織を持続成長させるために——組織づくりのフライホイールと4象限 / The Flywheel Model and Four Quadrants for Organizational Design
hiro_torii
4
960
20260912_スクラムにジェネラリストは必要か
ryugen04
0
310
スクラムで身についていた動き方を、XPで捉え直してみた
codmoninc
PRO
1
340
なぜSRE・セキュリティは評価されないのか?守りの組織を事業成長エンジンに変えた実践
cscengineer
PRO
3
2.4k
Sigmaで作る業務アプリ
kazushiro_honma
0
110
AIで実装は速くなった。なのにプロダクトは速くならない。職能の壁を越えて価値のフローを設計する
nwiizo
8
7.8k
[2026-09-11]SREは誰のもの?運用エンジニアが始める 「SRE領域への越境」とチームの進化の軌跡 〜Road to NEXT CRE
tosite
0
110
Omarchy Quattro の日本語設定周り
simosako
2
140
2026-09-11 【Snowflake World Tour Tokyo 2026】Snowflakeを起点に、AI Agentが自律稼働し続ける未来へ / Driving AI Agents with Snowflake
civitaspo
0
290
Screen Lens - 今見てる画面を翻訳する
komagata
0
230
OpenTelemetryのメトリクスをCloudWatchに送ってPromQLで見てみた
ota1022
0
120
Featured
See All Featured
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
690
Measuring & Analyzing Core Web Vitals
bluesmoon
9
990
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6.1k
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
190
Making the Leap to Tech Lead
cromwellryan
135
10k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
3k
Ruling the World: When Life Gets Gamed
codingconduct
0
330
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
10
1.3k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
320
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
270
The Language of Interfaces
destraynor
162
27k
Building Applications with DynamoDB
mza
96
7.2k
Transcript
20ສRPMΛࡹ͘ RailsΞϓϦέʔγϣϯͷ࡞Γํ גࣜձࣾΪϑςΟ ٠ ࢙و Rails Developers Meetup 2018 Day
4 Nouvelle Vague on 2018/12/08
ࣗݾհ about: name: Fumitaka Kikukawa twitter: @kikunantoka job: engineer work_at:
giftee Inc. // giftee is a good company.
ࣗݾհ
ࣗݾհ https://nakamy.com
ձࣾ֓ཁ
ձࣾ֓ཁ
ࣄۀ༰
ࣄۀ༰
ࣄۀ༰
औΓѻ͍ͬͯΔΪϑτ • gifteeͰ Starbucks ͷίʔώʔ ଃΕ·͢
ίʔώʔεϙϯαʔ • Starbucks ͷίʔώʔΛΈͳ͞ΜʹଃΒ͍͖ͤͯͨͩ·ͨ͠
୲͍ͯ͠ΔϓϩμΫτ
୲͍ͯ͠ΔϓϩμΫτ ʢࣾͰ($1ͱུ͞Εͩ͢ʜʣ HJGUFFΠϯελϯτΟϯGPS5XJUUFSͷڧΈᶃ நબ͔Βܠͷఏڙ·ͰҰؾ௨؏Ͱ͝ఏڙ நબγεςϜ ʢΠϯελϯτΟϯʣ σδλϧΪϑτͷఏڙ ʢछྨҎ্ͷܠʣ ϦΞϧλΠϜʹநબɺ ͦͷͰܠΛ༩
LINEऔΓѻ͍ͬͯ·͢ HJGUFFΠϯελϯτΟϯGPS-*/&ͷڧΈᶃ ©2018 gi)ee Inc. all rights reserved J நબ͔Βܠͷఏڙ·ͰҰؾ௨؏Ͱ͝ఏڙ
நબγεςϜ ʢΠϯελϯτΟϯʣ σδλϧΪϑτͷఏڙ ʢछྨҎ্ͷܠʣ ϦΞϧλΠϜʹநબɺ ͦͷͰܠΛ༩
ΊͬͪΌΞΫηεདྷΔ • ༑ͩͪ 2300ສͷΞΧϯτͰΩϟϯϖʔϯΛ࣮ࢪͨ݁͠Ռ ʊਓਓਓਓਓਓਓਓਓਓਓʊ ʼɹ࠷େ 30ສRPMɹʻ ʉY^Y^Y^Y^Y^Y^Y^Y^ʉ
20ສ RPMΛࡹ͘ RailsΞϓϦέʔγϣϯͷ࡞Γํ גࣜձࣾΪϑςΟ ٠ ࢙و Rails Developers Meetup 2018
Day 4 Nouvelle Vague on 2018/12/08 30ສ
͍͑ͨ͜ͱ • ΞϓϦέʔγϣϯίʔυͷ͍͖ͬͯ • Πϯϑϥͷ͍͖ͬͯ • νʔϜ։ൃͷ͍͖ͬͯ
ΞϓϦέʔγϣϯίʔυͷ ͍͖ͬͯ
ෛՙݕূΛͯ͠ϘτϧωοΫΛऔΓআ͘ • Flood.io • GATLING, JMETER , ruby-jmeter ͳͲ
ෛՙݕূΛͯ͠ϘτϧωοΫΛऔΓআ͘ • New Relic • ϘτϧωοΫͷಛఆ
ෛՙݕূΛͯ͠ϘτϧωοΫΛऔΓআ͘ • ੩తϑΝΠϧCDN৴͢Δ • σʔλ͕૿͑Δ͜ͱʹΑͬͯੑೳྼԽ͠ͳ͍͔ • εϩʔΫΤϦΛ͍͛ͯͳ͍͔ • ϩοΫॲཧͷൣғ͕͗͢ͳ͍͔ •
σουϩοΫ͍ͯ͠ͳ͍͔ • ແବͳΠϯελϯεΛੜ͍ͯ͠ͳ͍͔
ෛՙݕূΛͯ͠ϘτϧωοΫΛऔΓআ͘ • DB ͷ Pool Puma ͷ Thread ɺWorker
ద͔ • DB ͷ Pool -> Puma ͷεϨου • Puma ͷ Worker -> CPUͷίΞ • Puma ͷ Thread -> CPU༻ͱ૬ஊ
Πϯϑϥͷ ͍͖ͬͯ
εέʔϧΞοϓͰ͖ΔΑ͏ʹ͓ͯ͘͠ • Elastic Beanstalk
εέʔϧΞοϓͰ͖ΔΑ͏ʹ͓ͯ͘͠ • Amazon Aurora • ؾ߹͍ͰRDS for MySQL͔ΒҠߦͨ͠ • ϑΣΠϧΦʔόʔػೳΛ͏͜ͱͰɺΠϯελϯελΠϓ
ͷมߋ࣌ͷμϯλΠϜ͕5ඵఔʹ • ॻ͖ࠐΈIOPS͔Βͷ։์
࠷৽ͷΠϯελϯελΠϓΛ͏ ໊લ W$16 3". $16ΫϨδοτ࣌ؒ ྉۚ࣌ؒ UTNBMM
64% UTNBMM 64% • ίεύ͕ྑ͍ • Puma ͷ Worker Λ 2 ʹͰ͖Δ -> 2ഒͷεϨου
WebαʔόΛཱͯ·͘Ε͍͍͍ͬͯ͏Ͱͳ͍ • db.r4.16xlargeͷ߹ • 32 Threads x 2 Workers •
1͋ͨΓ 64 Threads • 6000 / 64 = 93.75 • 92͙Β͍͕ݶքʂ
νʔϜ։ൃͷ ͍͖ͬͯ
ͪΌΜͱਓΛೖΕΔ • 1ਓͩͱӡ༻ਏ͍ • 2ਓ͍Εɺਏ͍͜ͱʹɺتͼ2ഒʹ • ͓ۚΛՔ͙ • Λ্͛Δ
ൿͷλϨΛແ͍ͯ͘͘͠ • ϝϯόʔ͕ೖͬͨλΠϛϯάͰrubocop.ymlΛݟͨ͠ • Railsʹ΄΅४ڌͨ͠ • rubocop-rails_config gemΛͬͨ • rubocop
--auto-gen-config ͱ rubocop -a Ͱ͍ͯ͘͠
ͳΜͪΌͬͯεΫϥϜΛಋೖ͢Δ • ͓ޓ͍ͷλεΫͷՄࢹԽ • TrelloͰཧ • Agile ToolsΛೖΕΔ͜ͱͰϕϩγςΟܭଌͰ͖Δ
ڞ௨ೝࣝΛ૿͍ͯ͘͠ • ྠಡΛߦ͍ͬͯΔ
ίϚʔγϟϧ • We are hiring!!! - Ұॹʹಇؒ͘Λืूதʂ ձһສਓಥഁʂ ࠃ/PͷΧδϡΞϧΪϑταʔϏε
ίϚʔγϟϧ • MeetupΓ·͢ʂ - https://techplay.jp/event/711266 •