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
WEARのEKSコストを救いたい
Search
mi.kobaaaa
February 26, 2023
Programming
1
3.5k
WEARのEKSコストを救いたい
【Autify x ZOZO x dip共同開催】AWSコスト削減事例祭り
https://zozotech-inc.connpass.com/event/273113/
mi.kobaaaa
February 26, 2023
Tweet
Share
More Decks by mi.kobaaaa
See All by mi.kobaaaa
WEAR のワークフロー実行基盤コストを何とかしたい
mikobaaaaa0920
0
1.3k
Other Decks in Programming
See All in Programming
Code as Context 〜 1にコードで 2にリンタ 34がなくて 5にルール? 〜
yodakeisuke
0
120
Azure AI Foundryではじめてのマルチエージェントワークフロー
seosoft
0
150
“いい感じ“な定量評価を求めて - Four Keysとアウトカムの間の探求 -
nealle
1
6.7k
明示と暗黙 ー PHPとGoの インターフェイスの違いを知る
shimabox
2
470
Deep Dive into ~/.claude/projects
hiragram
12
2.3k
Select API from Kotlin Coroutine
jmatsu
1
220
ペアプロ × 生成AI 現場での実践と課題について / generative-ai-in-pair-programming
codmoninc
1
11k
deno-redisの紹介とJSRパッケージの運用について (toranoana.deno #21)
uki00a
0
180
LINEヤフー データグループ紹介
lycorp_recruit_jp
0
2k
『自分のデータだけ見せたい!』を叶える──Laravel × Casbin で複雑権限をスッキリ解きほぐす 25 分
akitotsukahara
2
610
初学者でも今すぐできる、Claude Codeの生産性を10倍上げるTips
s4yuba
14
9.2k
童醫院敏捷轉型的實踐經驗
cclai999
0
210
Featured
See All Featured
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
The Pragmatic Product Professional
lauravandoore
35
6.7k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
15
1.5k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Building Adaptive Systems
keathley
43
2.6k
A Tale of Four Properties
chriscoyier
160
23k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
730
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.4k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.5k
Statistics for Hackers
jakevdp
799
220k
Art, The Web, and Tiny UX
lynnandtonic
299
21k
Transcript
WEARͷEKSίετΛٹ͍͍ͨ גࣜձࣾZOZO ϒϥϯυιϦϡʔγϣϯ։ൃຊ෦ όοΫΤϯυ෦ SREϒϩοΫ খྛ ະདྷ Copyright © ZOZO,
Inc. AWSίετݮࣄྫࡇΓ
© ZOZO, Inc. ࣗݾհ
© ZOZO, Inc. גࣜձࣾZOZO ϒϥϯυιϦϡʔγϣϯ։ൃຊ෦ όοΫΤϯυ෦ SREϒϩοΫ খྛ ະདྷ •
@mirai_kobaaaaaa • ΏΔ;ΘܥSRE • ͖ͳαʔϏεɿAWS CDK
© ZOZO, Inc.
None
© ZOZO, Inc. https://zozo.jp/ 6 • ϑΝογϣϯEC • 1,500Ҏ্ͷγϣοϓɺ8,500Ҏ্ͷϒϥϯυͷऔΓѻ͍ •
ৗ࣌90ສҎ্ͷΞΠςϜͱຖฏۉ2,600Ҏ্ͷ৽ண Λܝࡌʢ202212݄࣌ʣ • ϒϥϯυݹணͷϑΝογϣϯκʔϯʮZOZOUSEDʯίεϝઐ ϞʔϧʮZOZOCOSMEʯɺۺͷઐϞʔϧ ʮZOZOSHOESʯɺϥάδϡΞϦʔˍσβΠφʔζκʔϯ ʮZOZOVILLAʯΛల։ • ଈૹαʔϏε • ΪϑτϥοϐϯάαʔϏε • πέ͍ ͳͲ
© ZOZO, Inc. https://wear.jp/ 7 • ϑΝογϣϯίʔσΟωʔτΞϓϦ • 1,600ສμϯϩʔυಥഁɺίʔσΟωʔτߘ૯1,300ສ݅ Ҏ্ʢ202212݄࣌ʣ
• ϐοΫΞοϓλά͔Β࠷৽ͷτϨϯυΛνΣοΫ • ίʔσΟωʔτண༻ΞΠςϜΛެࣜαΠτͰߪೖՄೳ • WEARެೝͷਓؾϢʔβʔΛWEARISTAͱೝఆɻϞσϧɾλϨϯ τɾσβΠφʔɾΠϯϑϧΤϯαʔͱ͍֤ͬͨքஶ໊ਓࢀՃ
© ZOZO, Inc. ຊ͓͢͠Δ͜ͱ
© ZOZO, Inc. ຊ͓͢͠Δ͜ͱ • WEAR ʹ͓͚Δ EKS ίετ࠷దԽʹ͚ͨଧͪख ◦
ݱঢ়ͷऔΓΈͱࠓޙͷଧͪख ◦ ௐࠪͨ݁͠ՌɺԿ͕՝ͩͬͨͷ͔ ◦ ͳͥ࠷దԽ͕ඞཁͳͷ͔ ຊ͓͠͠ͳ͍͜ͱ • EKS (Amazon Elastic Kubernetes Service) ͷࡉ͔ͳ༷ • ෦ΞϓϦέʔγϣϯͷৄࡉ • Kubernetes ͷ֓ཁɺৄࡉ
© ZOZO, Inc. ͋Ε2022
© ZOZO, Inc. AWS ίετ૿Λݕ • EKS ίετ͕૿Ճ ◦ ࣌
ECS => EKS ͷϦϓϨΠεϓϩδΣΫτ͕ਐߦத ◦ ͦͷͨΊଟগͷίετ૿Ճఆൣғͱ͍ͯͨ͠
© ZOZO, Inc. AWS ίετ૿Λݕ • ཌ݄ɺߋʹ EKS ίετ͕૿Ճ ◦
2ϲ݄લͱൺͯ10ഒ ◦ ҟৗͱஅ͠ௐࠪ։࢝ 10ഒ
© ZOZO, Inc. ௐࠪ݁Ռ
© ZOZO, Inc. ௐࠪ݁Ռ • όονॲཧϫʔΫϑϩʔΛ࣮ߦ͢Δ Cluster ͷίετ͕ٸ૿͍ͯͨ͠ ◦ 2,400pod/day
͕࣮ߦ͞Ε͍ͯΔ ◦ Fargate ͷΈͰߏ Mecha Ippai Fargate Batch Cluster
© ZOZO, Inc. ௐࠪ݁Ռ • όονॲཧϫʔΫϑϩʔΛ࣮ߦ͢Δ Cluster ͷίετ͕ٸ૿͍ͯͨ͠ ◦ 2,400pod/day
͕࣮ߦ͞Ε͍ͯΔڥ ◦ Fargate ͷ༻ྔ͕૿Ճ͠ίετ͕ਹΜͰ͍ͨ Mecha Ippai Fargate Batch Cluster ͕͜͜ʂ
© ZOZO, Inc. උߟɿEKSίετͷߟ͑ํ • EKSίετԼهͷ߹ࢉͰܭࢉ͞ΕΔ ◦ Kubernetes Worker Node
࣮ߦڥͷίετ ◦ EKS Cluster ͷίετ Amazon EKS + AWS Fargate Amazon EC2 EKS Cluster Kubernetes Worker Nodes
© ZOZO, Inc. උߟɿWorker Node ͷίετ • Fargate ͷ߹ ◦
Image Pull ։͔࢝Β Pod ͕ऴྃ͢Δ·Ͱʹ༻͞ΕͨϦιʔεͰܭࢉ ◦ ࣮ߦ͞ΕΔ Fargate ͷεϖοΫʹΑΓࢉग़ AWS Fargate 1࣌ؒͨΓͷ vCPU ୯Ґ 1࣌ؒͨΓͷ GB ୯Ґ Pod × ×
© ZOZO, Inc. උߟɿWorker Node ͷίετ Ex. 2ͷ EKS Pod
Λ30ϑϧՔಇͤͨ͞߹ Pod ͷεϖοΫ 1vCPU, 2GBϝϞϦͱ͢Δ ߹ܭ vCPU ྉۚ = (Pod ) × (vCPU ) × (CPU ࣌ؒ͋ͨΓͷྉۚ) × (࣌ؒ୯Ґͷ 1 ͋ͨΓͷ CPU ༻࣌ؒ) × () ߹ܭϝϞϦྉۚ = (Pod ) × (ϝϞϦ (GB)) × (GB ͋ͨΓͷྉۚ) × (࣌ؒ୯Ґͷ 1 ͋ͨΓͷ ϝϞϦ ༻࣌ؒ) × () Fargate ͷίϯϐϡʔςΟϯάͷֹ݄ྉۚ = (CPU ֹ݄ྉۚ) + (ϝϞϦͷֹ݄ྉۚ) ྫ Fargate ͷίϯϐϡʔςΟϯάͷֹ݄ྉۚ = 72.8064USD + 2.4348USD = 88.74USD ྫ vCPU ྉۚ = 2 × 1 × 0.05056USD × 24 × 30 = 72.81USD ྫϝϞϦྉۚ = 2 × 2 × 0.00553USD × 24 × 30 = 15.93USD ※2023/2/10࣌Ͱͷ౦ژϦʔδϣϯྉ͔ۚΒࢼࢉ
© ZOZO, Inc. උߟɿWorker Node ͷίετ • EC2 ͷ߹ ◦
Managed Node Group ͷ߹ࢉग़ํ๏ಉ͡ ◦ Worker Node ࣮ߦͷͨΊʹ༻ͨ͠ AWS ϦιʔεͰࢉग़ EC2 Πϯελϯείετ EBS ϘϦϡʔϜ Πϯελϯε × × Amazon EC2
© ZOZO, Inc. උߟɿWorker Node ͷίετ Ex. 2ͷ EKS Pod
Λ30ϑϧՔಇͤͨ͞߹ ߹ܭΠϯελϯεྉۚ = (ΠϯελϯελΠϓͷ࣌ؒͨΓྉۚ) × (Πϯελϯε) × (Πϯελϯε࣌ؒ) ߹ܭ EBS ྉۚ = (1 ϲ݄ʹϓϩϏδϣχϯά͞Εͨ GB) × (1 ϲ݄͋ͨΓͷΠϯελϯε࣌ؒ) × (1 GB ͋ͨΓͷֹ݄ྉۚ) ※2023/2/10࣌Ͱͷ౦ژϦʔδϣϯྉ͔ۚΒࢼࢉ Pod ͷεϖοΫ 1vCPU, 2GBϝϞϦͱ͢Δ ྫ߹ܭ EBS ྉۚ = 20 × (720 ࣌ؒ / 730࣌ؒ) × 0.12USD = 2.38USD ྫ߹ܭΠϯελϯεྉۚ = 0.107USD × 1 × 720 = 77.04 USD ྫͰ͋Ε 2vCPU, 4GBϝϞϦ͕ඞཁͰ͋ΔͨΊɺc5.large ͔ͭ ൚༻SSD (gp2: 20GB)Ͱܭࢉ͢Δ ྫ߹ܭ EC2 ྉۚ = 77.04 USD + 2.38USD = 79.42USD
© ZOZO, Inc. උߟɿWorker Node ͷίετ Ex. 2ͷ EKS Pod
Λ30ϑϧՔಇͤͨ͞߹ ߹ܭΠϯελϯεྉۚ = (ΠϯελϯελΠϓͷ࣌ؒͨΓྉۚ) × (Πϯελϯε) × (Πϯελϯε࣌ؒ) ߹ܭ EBS ྉۚ = (1 ϲ݄ʹϓϩϏδϣχϯά͞Εͨ GB) × (1 ϲ݄͋ͨΓͷΠϯελϯε࣌ؒ) × (1 GB ͋ͨΓͷֹ݄ྉۚ) ※2023/2/10࣌Ͱͷ౦ژϦʔδϣϯྉ͔ۚΒࢼࢉ Pod ͷεϖοΫ 1vCPU, 2GBϝϞϦͱ͢Δ ྫ߹ܭ EBS ྉۚ = 20 × (720 ࣌ؒ / 730࣌ؒ) × 0.12USD = 2.38USD ྫ߹ܭΠϯελϯεྉۚ = 0.107USD × 1 × 720 = 77.04 USD ྫͰ͋Ε 2vCPU, 4GBϝϞϦ͕ඞཁͰ͋ΔͨΊɺc5.large ͔ͭ ൚༻SSD (gp2: 20GB)Ͱܭࢉ͢Δ ྫ߹ܭ EC2 ྉۚ = 77.04 USD + 2.38USD = 79.42USD Fargateͷࠩ10% ※Fargate or EC2 ӡ༻ίετؑΈΔඞཁ͕͋Γ·͢ɻ͝ҙԼ͍͞ɻ
© ZOZO, Inc. ଧͪख
© ZOZO, Inc. ଧͪख • ଧͪखͱͯ͠ԼهΛݕ౼ ▪ ࣮ࡍͷϝτϦΫε͔Β Fargate Pod
ͷ࣮ߦ spec Λௐ ◦ Fargate spec ͷ optimize ◦ EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ◦ Fargate ࣮ߦ࣌ؒͷݮ ▪ ෆཁͳ Fargate Pod ͷࣗಈআ Image Pull ͷվળ ▪ EKS on EC2 Ҡߦ͢Δ͜ͱʹΑΔίετѹॖ
© ZOZO, Inc. Fargate spec ͷ optimize • Datadog μογϡϘʔυ͔Β
pod ͷར༻ϝτϦΫεΛνΣοΫ
© ZOZO, Inc. Fargate spec ͷ optimize • ࣮ࡍͷϝτϦΫε͔Βඞཁ spec
Λ࠶ࢉग़͠ɺManifest Λमਖ਼ • ෳͷ Deployment શͯʹରͯ͠ௐ
© ZOZO, Inc. Fargate ࣮ߦ࣌ؒͷݮ • ϫʔΫϑϩʔ࣮ߦྃޙʹ Fargate Pod ͕আ͞ΕΔ·Ͱͷ࣌ؒΛઃఆ
• كʹϫʔΫϑϩʔ࣮ߦྃޙʹআ͞Εͳ͍ Fargate Pod ͕ଘࡏ͍ͯͨ͠ ◦ job ʹରͯ͠ .spec.ttlSecondsAfterFinished ΛՃ
© ZOZO, Inc. Fargate ࣮ߦ࣌ؒͷݮ • Image ѹॖΞϧΰϦζϜมߋʹΑΔ Image Pull
࣌ؒͷݮ • gzip ѹॖํ͔ࣜΒ zstd ѹॖํࣜʹมߋ͢Δ͜ͱͰ Image αΠζΛѹॖ
© ZOZO, Inc. Fargate ࣮ߦ࣌ؒͷݮ • Image ѹॖΞϧΰϦζϜมߋʹΑΔ Image Pull
࣌ؒͷݮ • gzip ѹॖํ͔ࣜΒ zstd ѹॖํࣜʹมߋ͢Δ͜ͱͰ Image αΠζΛѹॖ • WEARͰ Image Pull ࣌ؒͷӨڹগͳ͔ͬͨͨΊҰ୴ޙճ͠ 5%ఔѹॖ
© ZOZO, Inc. Fargate ࣮ߦ࣌ؒͷݮ • AWS ެࣜΑΓϒϩά͕ެ։͞Ε͍ͯ·͢ͷͰੋඇ͝ҰಡԼ͍͞ʂ ref. https://aws.amazon.com/jp/blogs/news/reducing-aws-fargate-startup-times-with-zstd-compressed-container-images/
© ZOZO, Inc. EKS on Fargate ͔Β EKS on EC2
ͷҠߦ ※ݕূத • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ Batch Cluster Fargate Fargate Batch Cluster EC2 EC2
© ZOZO, Inc. • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ Batch Cluster
Fargate Fargate Batch Cluster EC2 EC2 ◦ Fargate Λഇࢭ͠ɺશͯ EC2 ʹࡌͤସ͑Δ ◦ EC2 Managed Node Group Λར༻͠ɺӡ༻ίετ͑Δ EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத
© ZOZO, Inc. • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ • ୯७ͳ
EKS on EC2 ͷҠߦͰͳ͘ɺPod ͷੑ࣭ຖʹஔ͢ΔϊʔυΛௐ Batch Cluster EC2 Critical Group EC2 Common Group EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத
© ZOZO, Inc. Batch Cluster EC2 Critical Group EC2 Common
Group ࣮ߦڥʹߴ͍ Πϯελϯεੑೳ͕ෆཁͳPod Ex. Operator EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ • ୯७ͳ EKS on EC2 ͷҠߦͰͳ͘ɺPod ͷੑ࣭ຖʹஔ͢ΔϊʔυΛௐ
© ZOZO, Inc. Batch Cluster EC2 Critical Group EC2 Common
Group EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ • ୯७ͳ EKS on EC2 ͷҠߦͰͳ͘ɺPod ͷੑ࣭ຖʹஔ͢ΔϊʔυΛௐ ࣮ߦڥʹߴ͍ Πϯελϯεੑೳ͕ඞཁͳPod Ex. σʔλॲཧ
© ZOZO, Inc. ◦ Manifest ʹ Node Affinity ΛՃ͠એݴతʹϊʔυΛબ EKS
on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ • ୯७ͳ EKS on EC2 ͷҠߦͰͳ͘ɺPod ͷੑ࣭ຖʹஔ͢ΔϊʔυΛௐ
© ZOZO, Inc. Batch Cluster EC2 Critical Group EC2 Common
Group Deployment Critical Deployment Common EKS on Fargate ͔Β EKS on EC2 ͷҠߦ ※ݕূத ◦ Manifest ʹ Node Affinity ΛՃ͠એݴతʹϊʔυΛબ • Pod ࣮ߦج൫Λ EC2 ʹมߋ͢Δ͜ͱͰɺߋͳΔίετѹॖΛਤΔ • ୯७ͳ EKS on EC2 ͷҠߦͰͳ͘ɺPod ͷੑ࣭ຖʹஔ͢ΔϊʔυΛௐ
© ZOZO, Inc. ·ͱΊ
© ZOZO, Inc. ·ͱΊ WEARʹ͓͚Δ EKS ίετݮʹ·ͭΘΔ͋Ε͜ΕΛհ͠·ͨ͠ • ·ͣίετΛ Watch
͢Δ͜ͱ • ݱঢ়ʹ߹Θͤͨ࠷దԽΛଓ͚͍ͯ͘͜ͱ • αʔϏεͷϦιʔεΛ؍ଌ͠ଓ͚Δ͜ͱ ৭ʑ͓͠͠·͕ͨ͠ɺେͳ͜ͱԼه3ͩͱߟ͍͑ͯ·͢ ਐߦதͰ͋Γ·͕͢ɺϐʔΫ࣌ͷ50%ఔ·Ͱίετݮ͕Ͱ͖͍ͯ·͢
© ZOZO, Inc. Զͨͪͷઓ͍͜Ε͔Βͩʂ
© ZOZO, Inc. We are hiring!
© ZOZO, Inc. ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ