Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ScalaとPerlでMicroservices in production / Buildi...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
aereal
September 28, 2017
Technology
5.7k
0
Share
ScalaとPerlでMicroservices in production / Building microservices with Perl and Scala in production
aereal
September 28, 2017
More Decks by aereal
See All by aereal
盆栽転じて家具となる / Bonsai and Furnitures
aereal
0
6.6k
How to send distibuted traces to Datadog using build own OpenTelemetry-Lambda distribution
aereal
3
340
好きな技術《コト》で、 生きていく技術 / life with what you like
aereal
5
6.1k
qron: Cloud Native Cron Alternativeの今
aereal
2
3.3k
自動作曲入門 / introduction to programatic music composition
aereal
1
530k
はてなブログ タグとCDK / The epic of AWS CDK and Hatena Blog Tag
aereal
2
200k
はてなブログ タグの技術選択 / The technical details of Hatena Blog Tag
aereal
3
200k
ブログサービスのHTTPS化を支えたAWSで作るピタゴラスイッチ / The construction of large scale TLS certificates management system with AWS
aereal
3
400k
AWSではてなブログの常時HTTPS配信をバーンとやる話 / The Epic of migration from HTTP to HTTPS on Hatena Blog with AWS
aereal
14
19k
Other Decks in Technology
See All in Technology
TROCCOで始めるクラウドコストを民主化するためのFinOps
tk3fftk
1
270
A Harness for Behaviour: how to get AI to generate code that does what we intend, or "TDD in the age of AI"
xpmatteo
0
500
Strands Agents超入門
kintotechdev
1
130
AI時代の私の技術インプットとアウトプット術
tonkotsuboy_com
15
7.6k
ルールやカスタム機能、どう使う?理想の出力を引き出すために今知りたいIBM Bob 5つの機能
muehara
0
120
エンジニアは生成AIと どのように向き合うべきか? ことばの意味という観点から
verypluming
3
290
Generative UI × A2UI で AI エージェントを作った話 AI-DLC も使ってみた!
kmiya84377
1
270
Javaで学ぶSOLID原則
negima
1
230
地元にいないローカルオーガナイザーの立ち回り
uvb_76
1
260
AI フレンドリーなエラー監視を TypeScript で実現する
shinyaigeek
2
120
Fabric-cicd によるAzure DevOps デプロイ
ryomaru0825
0
110
シンデレラなんかになりたくない!ガラスの靴が割れた時代にどう歩く?
nomizone
0
220
Featured
See All Featured
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
270
Leo the Paperboy
mayatellez
7
1.8k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
380
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.3k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.5k
HDC tutorial
michielstock
2
680
Technical Leadership for Architectural Decision Making
baasie
3
380
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
150
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2k
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
2k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
200
Marketing to machines
jonoalderson
1
5.3k
Transcript
ScalaͱPerlͰ Microservices in production id:aereal @ Cookpad Tech Kitchen #11
feat. ͯͳ
ࣗݾհ • id:aereal • גࣜձࣾͯͳ (2012ʙ) • ͯͳϒοΫϚʔΫ • ͯͳϒϩά
(ςοΫϦʔυ) • Perl, Ruby, Scala, Shell Script
ͯͳʹ͓͚ΔςοΫϦʔυɺ ͦͯ͠αʔϏεϓϥοτϑΥʔϜνʔϜͷ ςοΫϦʔυʹ͍ͭͯ http://developer.hatenastaff.com/entry/2017/09/28/110000
ΞδΣϯμ • Microserviceͱͯ͠࡞ͬͨ৽αʔϏεʹ͍ͭͯ • ຊ൪ೖͯ͠ͷ࠾ • Ψόφϯε • ڍ͍͛ͯͨ՝ղܾ͞Ε͔ͨ
৽αʔϏεʹ͍ͭͯ
http://hatenablog.com/
“ͯͳϒϩάΛͬͱຊ֨తʹ͍͍ͨํͷͨ Ίʹɺ༗ྉϓϥϯʮͯͳϒϩάProʯΛ༻ҙ͠ ͓ͯΓ·͢ɻࠂͷඇදࣔಠࣗυϝΠϯػೳ ͳͲɺͯͳϒϩάΛΑΓศརʹ͓͍͍ͨͩ ͚·͢ɻ” http://hatenablog.com/guide/pro
ͯͳϙΠϯτ ΫϨδοτΧʔυ ίϯϏχৼࠐ ۜߦৼࠐ ༻ https://www.hatena.ne.jp/shop/point/list
http://hatena.g.hatena.ne.jp/hatena/20150529/1432869070
վम or ࡞Γ͠ • چγεςϜϞϊϦγοΫ • ܾࡁͯͯ͠ͳϙΠϯτΛνϟʔδ͢Δ • ͯͳϙΠϯτΛͬͯߪೖ͢Δ •
༷Λཧ͢Δ͍͍ػձͰ͋Δ
ܾࡁߦαʔϏε (֎෦) ͯͳͷαʔϏε (ϒοΫϚʔΫͳͲ) ݱߦܾࡁγεςϜ ϙΠϯτཧ ڞ༗Ϟδϡʔϧ ༗ྉϓϥϯཧ ґଘ ͯͳͷαʔϏε
ґଘ ͯͳͷαʔϏε ґଘ etc. ΞΧϯτ چܾࡁγεςϜͷߏ
چܾࡁγεςϜͷߏ • ܾࡁγεςϜ: WebΞϓϦέʔγϣϯ • APIͳ͘HTMLͷϑΥʔϜ͕͋ΔͷΈ • ڞ༗Ϟδϡʔϧ: ܾࡁߦαʔϏεͱ௨৴͢Δ࣮ •
ͨ͘͞ΜͷϦϙδτϦ͔Βґଘ͞Ε͍ͯΔ • ڞ༗DBΛૢ࡞͢Δ
چܾࡁγεςϜͷվम? • ΄ͱΜͲݱ࣮తͰͳ͍ • ޓੑʹؔ͢ΔεΩʔϜ͕ͳ͍ • શޙํޓ or die •
ෳͷυϝΠϯ͕ೖΓཚΕ͍ͯΔ • ݱࡏͷ༷ʹӨڹΛڧ͘ड͚Δ • վળ͕·ΘΒͳ͍
ϑϧεΫϥον
৽ܾࡁγεςϜ • ܾࡁߦαʔϏεͷήʔτΣΠͱͯ͠ಇ͘ • ͯͳϒϩάProͷ༩ͳͲ֤αʔϏεʹҠৡ • JSON over HTTPͳAPIͷΈΛఏڙ͢Δ •
ରSSKDs (= small set of known developers)
৽ܾࡁγεςϜ ߏਤ ܾࡁߦαʔϏε (֎෦) ͯͳͷαʔϏε ༗ྉϓϥϯͷ ঢ়ଶཧ ৽ܾࡁγεςϜ UI API
http://staff.hatenablog.com/entry/2017/07/10/160000
ຊ൪ೖͯ͠ͷ࠾
ͦͷલʹৼΓฦΓ
ϚΠΫϩαʔϏεͰ࡞Δ͔ • 1ʙ3ষʹ͔͚ͯϝϦοτ ʮ༏ΕͨαʔϏεʯʹ͍ͭͯ ड़ΒΕ͍ͯΔ • ϚΠΫϩαʔϏεʹΑͬͯ αʔϏεΑΓΑ͘ͳΔͷ͔ • ΨόφϯεͳͲɺ
ίετ͑ΔͩΖ͏͔ https://www.oreilly.co.jp/books/9784873117607/
ૄ݁߹ͱߴڽूੑ 1. ϞϊϦγοΫͰखΛೖΕͮΒ͍ (ີ݁߹) 2. ৽ͨʹ༗ྉϓϥϯΛಋೖ͍ͨ͠αʔϏε࠶࣮ 3. υϝΠϯ͕ࣝྲྀग़ (ڽूੑ) 4.
࣋ଓՄೳʹ࡞Γ (ͳ͓͠) ͍ͨ • είʔϓΛখ͘͞໌ྎʹอͭ • ૄ݁߹ (ʰϚΠΫϩαʔϏεΞʔΩςΫνϟʱ3.2.1) • ߴڽूੑ
(ʰϚΠΫϩαʔϏεΞʔΩςΫνϟʱ3.2.2) • ׂ౷࣏͢Δ • ٕज़ҟ࣭ੑ • σϓϩΠͷϥΠϑαΠΫϧΛૣΊΔ
͏·͍ͬͨ͘? • Ψόφϯε͏·͍͔ͬͨ͘ • ૄ݁߹ʹͳ͔ͬͨ • ߴڽूʹͳ͔ͬͨ
Ψόφϯε: ̋ • ͯͳϒϩάͱ৽ܾࡁγεςϜΛ ڠௐͤͯ͞มߋ͢Δඞཁ͕͋Δ • → νʔϜΛϞϊϦγοΫʹ͢Δ͜ͱͰஅΛ͛ͨ • ଞνʔϜͱͷ࿈ܞ͓͓ΉͶى͖ͳ͔ͬͨ
• ৽ܾࡁγεςϜͷϏδϣϯΛڞ༗͍ͯͨ͠ • → ͍͖ͳΓγεςϜ͕ૠ͛ସΘΔ͜ͱͳ͔ͬͨ
ϞϊϦγοΫͳνʔϜ • ͯͳϒϩάଆͷ։ൃͱ৽ܾࡁγεςϜͷ։ൃϝϯόʔΛ Ұகͤͨ͞ • (ॳɺͯͳϒϩάଆΛଞͷϝϯόʔʹ͓ئ͍͢Δ͜ͱ ݕ౼͍ͯͨ͠) • → ͕ࣝڽू͞ΕɺຊʹඞཁͳͷΛదʹ࡞Εͨ
ૄ݁߹: ̋ • UIͱAPIΛผͷݴޠͰ࣮͢Δ͜ͱͰஅ • UI = Perl, API =
Scala • → چγεςϜͰͱͳͬͨڞ༗ΧʔωϧԽΛ͙ • ޓ͕ඞཁͳೝূΛUIʹཹΊΒΕͨ • → ݁Ռͱͯ͠UI͕APIʹର͢ΔഊࢭʹͳΔ
ߴڽूੑ: ˚ • UIͱAPIͷσϓϩΠλΠϛϯάΛἧ͑Δඞཁ͕͋Δ • → ͚ͩ͜͜ݟΔͱ࣌ظঘૣͩͬͨײ͋Δ • ʮ࠷ॳͷ30ؒແྉͰར༻Ͱ͖Δʯͱ͍͏ใɺ ͯͳϒϩάʹด͍ͯ͡ΔͷͰച্ूܭ͕͍͠
• → ϞσϦϯάదͩͬͨͱࢥ͏ͷͰɺ ूܭํ๏ͷվળͳͲͰΞϓϩʔν͍ͨ͠
࠾: 70 • ͋ͱ͔ΒϦΧόʔͮ͠Β͍ (ྫ: Ψόφϯε) ઌʹखΛଧͯͨ • Ұํɺٕज़తͳΞϓϩʔν
(ྫ: σϓϩΠɺ౷߹ςετ) ·ͩ·ͩΕΔ͜ͱ͕͋Δ
·ͱΊ
MicroservicesԽΞϦ͔ • ৽ܾࡁγεςϜͰ࠾༻ͨ͠ͷਖ਼ղͩͬͨ • MicroservicesܥΛ࡞ΔͨΊͷσβΠϯ • = νʔϜ (ਓɺ৫) ·ͰϚΠΫϩʹׂ͢Δඞཁͳ͍
• ͦͷΘΓ͖ͪΜͱࢠΛඃΓͤͳ͍ͱ͍͚ͳ͍