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
メルカリのマーケット健全化施策を支えるML基盤
Search
Hirofumi Nakagawa/中河 宏文
May 23, 2018
Programming
10
9k
メルカリのマーケット健全化施策を支えるML基盤
Hirofumi Nakagawa/中河 宏文
May 23, 2018
Tweet
Share
More Decks by Hirofumi Nakagawa/中河 宏文
See All by Hirofumi Nakagawa/中河 宏文
IoTデバイスでMLモデルを動かす技術
hnakagawa
0
150
Kanazawa_AI.pdf
hnakagawa
0
170
メルカリ写真検索における Amazon EKS の活用事例と プロダクトにおけるEdgeAI technologyの展望
hnakagawa
5
8.8k
メルカリの写真検索を支えるバックエンド CCSE 2019 version
hnakagawa
0
300
メルカリ写真検索における Amazon EKS の活用事例
hnakagawa
6
29k
メルカリの写真検索を支えるバックエンド
hnakagawa
1
1.1k
Mercari ML Platform
hnakagawa
1
17k
mlct.pdf
hnakagawa
2
2k
機械学習によるマーケット健全化施策を支える技術
hnakagawa
0
230
Other Decks in Programming
See All in Programming
ミリしらMCP勉強会
watany
4
670
家族・子育て重視/沖縄在住を維持しながらエンジニアとしてのキャリアをどのように育てていくか?
ug
0
260
snacks.nvim内のセットアップ不要なプラグインを紹介 / introduce_snacks_nvim
uhooi
0
370
Kamal 2 – Get Out of the Cloud
aleksandrov
0
140
Firebase Dynamic Linksの代替手段を自作する / Create your own Firebase Dynamic Links alternative
kubode
0
200
gen_statem - OTP's Unsung Hero
whatyouhide
1
180
体得しよう!RSA暗号の原理と解読
laysakura
3
550
PHPer's Guide to Daemon Crafting Taming and Summoning
uzulla
2
1.1k
AI Coding Agent Enablement - エージェントを自走させよう
yukukotani
12
4k
Going Structural with Named Tuples
bishabosha
0
190
コンテナでLambdaをデプロイするときに知っておきたかったこと
_takahash
0
160
複数ドメインに散らばってしまった画像…! 運用中のPHPアプリに後からCDNを導入する…!
suguruooki
0
450
Featured
See All Featured
Typedesign – Prime Four
hannesfritz
41
2.6k
The World Runs on Bad Software
bkeepers
PRO
67
11k
Designing for humans not robots
tammielis
251
25k
Fireside Chat
paigeccino
37
3.4k
Visualization
eitanlees
146
16k
Into the Great Unknown - MozCon
thekraken
36
1.7k
The Cost Of JavaScript in 2023
addyosmani
48
7.6k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
4
490
Thoughts on Productivity
jonyablonski
69
4.5k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
129
19k
Side Projects
sachag
452
42k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
17
1.1k
Transcript
ϝϧΧϦͷϚʔέοτ݈શԽ ࢪࡦΛࢧ͑ΔMLج൫ Mercari ML Ops Night Vol.1 hnakagawa
ࣗݾհ • Hirofumi Nakagawa (hnakagawa) • 20177݄ೖࣾ • ॴଐSRE •
σόΠευϥΠό։ൃ͔Βϑϩϯ τΤϯυ։ൃ·ͰΔԿͰ • NOT MLΤϯδχΞ • https://github.com/hnakagawa
͓ࣄ • ML Platform։ൃ • MLΤϯδχΞͱSREͷεΩϧΪϟοϓΛຒΊ Δ • ML Reliability,
SysML?, MLOps? • SREͷཱ͔ΒMLγεςϜͷࣗಈԽΛߦ͏
ML Platform • ͷML Platform • kubernetesϕʔε • ϩʔΧϧڥͱΫϥελڥͷ ࠩΛநԽ͢Δ
• ศརAPI܈ • طଘͷML FrameworkΛ༻͠ ؆୯ʹTraining/ServingΛߦ͏ ڥΛఏڙ
ͦͷ͏ͪOSSͰެ։༧ఆ(ଟ
ࣄྫ ϦΞϧλΠϜࢹγεςϜ • ௨শ Lovemachine • ML Platform্ʹ࣮͞Ε͍ͯΔ .-1MBUGPSN USBJOJOHDMVTUFS
-PWFNBDIJOF ($4 GKE PubSub .-1MBUGPSN TFSWJOHDMVTUFS -PWFNBDIJOF
Model Training & Serving Workflow
.-1MBUGPSN USBJOJOHDMVTUFS Workflow for Production $* .-1MBUGPSN TFSWJOHDMVTUFSGPSUFTU .PEFM3FHJTUSZ +PC
+PC ɾɾ 3&45 "1* 4USFBNJOH 5' 4FSWJOH ɾɾɾ
.-1MBUGPSN USBJOJOHDMVTUFS Training Workflow $* .PEFM3FHJTUSZ +PC +PC ɾɾɾ 1.
GitHubͷpushΛτϦΨʹtrainingΛىಈ 2. Training͞ΕͨModelModel Registry ্͕Δ
Serving Workflow .-1MBUGPSN TFSWJOHDMVTUFSGPSUFTU .PEFM3FHJTUSZ ɾɾ 3&45 "1* 4USFBNJOH 5'
4FSWJOH ɾɾɾ 1. Model RegistryΛࢹͯࣗ͠ಈͰModel ΛServing 2. Serving&Test͕ޭ͢Δͱຊ൪༻k8s manifestΛग़ྗ
Model Serving APIͷߏྫ 5FOTPS'MPX 4FSWJOH 5' .PEFM 5' .PEFM 'MBTL
4, .PEFM 4, .PEFM 4, .PEFM gRPC .FSDBSJ"1* REST FlaskͰલॲཧΛߦ͍ ཪͷTensorFlow Servingʹ͍͛ͯΔ
Model Serving API Streaming ver ͷߏྫ 5FOTPS'MPX 4FSWJOH 5' .PEFM
5' .PEFM .-1MBUGPSN 'SBNFXPSL PS "QBDIF#FBN 4, .PEFM 4, .PEFM 4, .PEFM gRPC PubSub
TensorFlow Serving • TensorFlow project͕ఏڙͯ͠ ͍ΔServingڥ • PythonॲཧܥΛհͣ͞ʹTFͷ modelΛservingͰ͖Δ •
ඪ४ͷ࣮ͰgRPCͰAPIΛ ఏڙ
ModelͱίϯςφɾΠϝʔδ • ڊେͳML ModelΛίϯςφɾΠϝʔδʹؚΊ Δ͔൱͔ • ؚΊͳ͍ͷͰ͋ΕԿॲʹஔ͢Δ͔ • ϙʔλϏϦςΟੑͱϩʔυ࣌ؒͷτϨʔυΦϑ •
ྑ͍ΞΠσΟΞ͕͋Εڭ͑ͯԼ͍͞…
௨ৗͷAPIͱҧ͏ • ѻ͏ϦιʔεɺModelαΠζ͕େ͖͘ͳΔ ߹͕ଟ͍(ඦMBʙGB) • CPUɾϝϞϦϦιʔεͷফඅ͕ܹ͍͠ • ߹ʹΑͬͯGPU͏
ϝϞϦফඅ • LovemachineͷPython࣮෦࣮ߦ࣌ʹ 2GBϝϞϦΛফඅ͢Δˠࠓޙ͞Βʹ૿͑Δ༧ ఆ͋Δ • Scikit-learnͰهड़͞ΕͨTF-IDFͷલॲཧ෦ ͕େ͖͘ͳΔࣄ͕ଟ͍
Pythonͱฒྻੑ • વThread͕͑ͳ͍(GILͷͨΊ) • ϓϩηεຖʹModelΛϩʔυ͢Δͱඞཁͳϝ ϞϦαΠζ͕େ͖͘ͳΔˠ Blue-Green DeployͷোʹͳΔ
ਖ਼PythonͰͷServing Πϯϑϥతʹਏ͍ࣄ͕ଟ͍…
ϝϞϦΛݡ͘͏ • fork͢ΔલʹmodelΛϩʔυ͠Copy on Write Λޮ͔͢ • k8sͷone process per
containerηΦϦ͋ ͑ͯഁ͍ͬͯΔ
Copy On Writeͷ෮श ϝϞϦ ϓϩηε ࢠϓϩηε 2.fork 1BHF" 1.allocation ಉ͡ྖҬΛࢀর
ϓϩηε͕ϝϞϦͷ༰Λ ॻ͖͑Δͱ… ϝϞϦ ϓϩηε ࢠϓϩηε 1BHF" 1BHF# OS͕ผͷྖҬΛAllocationͯ͠ݩσʔλΛίϐʔ͢Δ ผͷྖҬΛࢀর
Current Issues • ਓؒͷߦಈΛ૬खʹ͍ͯ͠Δҝɺσʔλͷ ͕มΘΓ͔ͬͨ͢Γɺ༧֎ͷ͕ൃ ੜͨ͠Γͯ͠ɺରԠ͠ଓ͚Δඞཁ͕͋Δ ˠ ML Model࡞ऀʹෛ୲ֻ͕͔Γଓ͚Δ ˠ
SREͱͯࣗ͠ಈԽΛؚΜͩΈͰղܾ ͍ͨ͠
In Progress • ࣾͷσʔλ͔ΒEmbedding͢Δ࣮Λίϯ ϙʔωϯτԽ • ಛఆͷΛղܾ͢ΔϞσϧߏஙΛ͋Δఔ ࣗಈԽ ˠࣾͷղܾʹಛԽͨ͠ઐ༻ͷAutoMLత ͳԿ͔
AutoFlow(Ծ) 'FBUVSF&YUSBDUJPO $PNQPOFOUT $MBTTJpDBUJPO $PNQPOFOUT $PODBUFOBUJPO $PNQPOFOUT .PEFM #VJMEFS $PNQPOFOUT
3FHJTUSZ Ϋϥελ্ͰϞσϧͷࣗಈߏஙͱϋΠύʔύϥ ϝʔλͷࣗಈௐΛߦ͏
·ͱΊ • MLʹগ͠௨ৗͱҧ͏Πϯϑϥ͕ඞཁʹͳΔ ˠ·ͩϕετɾϓϥΫςΟε͔Βͳ͍ • ͦͦMLͳػೳΛຊ֨ӡ༻͠Α͏ͱ͢Δ ͱɺେ෯ͳࣗಈԽɾΈԽΛਐΊͳ͍ͱ্ ख͘ߦ͔ͳ͍
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠!!
We are Hiring!!
SRE ML Reliability • SysML? MLOps? ৽͍͠Job description • SREεΩϧ+MLͷجૅࣝ
• MLΠϯϑϥͷࣗಈԽɾΈԽΛਪ͠ਐΊͯ ͘ΕΔਓࡐ • ͪΖΜଞͷ৬छઈࢍืूத!!
ৄࡉͪ͜Β https://careers.mercari.com/