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
機械学習によるマーケット健全化施策を支える技術
Search
Hirofumi Nakagawa/中河 宏文
May 23, 2018
Programming
0
230
機械学習によるマーケット健全化施策を支える技術
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
160
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
8.9k
メルカリの写真検索を支えるバックエンド CCSE 2019 version
hnakagawa
0
310
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
メルカリのマーケット健全化施策を支えるML基盤
hnakagawa
10
9k
Other Decks in Programming
See All in Programming
衛星の軌道をWeb地図上に表示する
sankichi92
0
250
JVM の仕組みを理解して PHP で実装してみよう
m3m0r7
PRO
1
250
TypeScript LSP の今までとこれから
quramy
0
130
抽象データ型について学んだ
ryounasso
0
210
Building an Application with TDD, DDD and Hexagonal Architecture - Isn't it a bit too much?
mufrid
0
370
Agent Rules as Domain Parser
yodakeisuke
1
350
Devinで実践する!AIエージェントと協働する開発組織の作り方
masahiro_nishimi
6
2.6k
ワイがおすすめする新潟の食 / 20250530phpconf-niigata-eve
kasacchiful
0
260
TSConfigからTypeScriptの世界を覗く
planck16
2
1.3k
Language Server と喋ろう – TSKaigi 2025
pizzacat83
2
740
バランスを見極めよう!実装の意味を明示するための型定義 TSKaigi 2025 Day2 (5/24)
whatasoda
2
780
TypeScript Language Service Plugin で CSS Modules の開発体験を改善する
mizdra
PRO
3
2.5k
Featured
See All Featured
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.7k
Typedesign – Prime Four
hannesfritz
41
2.6k
Side Projects
sachag
454
42k
Become a Pro
speakerdeck
PRO
28
5.4k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
50k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
129
19k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
30
2.1k
How to train your dragon (web standard)
notwaldorf
92
6k
Facilitating Awesome Meetings
lara
54
6.4k
The Cost Of JavaScript in 2023
addyosmani
49
8.1k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
750
How to Think Like a Performance Engineer
csswizardry
23
1.6k
Transcript
ػցֶशʹΑΔϚʔέοτ ݈શԽࢪࡦΛࢧ͑Δٕज़ Mercari Server Side Tech Talk Vol.2 ʙCREφΠτʙ
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? • SREͷཱ͔ΒCREνʔϜΛॿ͚Δ
ML Platform • ͷML Platform • kubernetesϕʔε • ϩʔΧϧڥͱΫϥελڥͷ ࠩΛநԽ͢Δ
• ศརAPI܈ • طଘͷML FrameworkΛ༻͠ ؆୯ʹTraining/ServingΛߦ͏ ڥΛఏڙ
ͦͷ͏ͪOSSͰެ։༧ఆ(ଟ
ࠓͷAgenda ϦΞϧλΠϜࢹγεςϜ
ϦΞϧλΠϜࢹγεςϜ • ௨শ Lovemachine • ML Platform্ʹ࣮͞Ε͍ͯΔ .-1MBUGPSN USBJOJOHDMVTUFS -PWFNBDIJOF
($4 GKE PubSub .-1MBUGPSN TFSWJOHDMVTUFS -PWFNBDIJOF
ML ModelͷServing….?
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 • Mercari APIͱͷͭͳ͗ࠐΈʹۤ࿑ ˠ Ұ௨Γ࡞Εޙ࠶ར༻Ͱ͖Δͣ • ਓؒͷߦಈΛ૬खʹ͍ͯ͠Δҝɺσʔλͷ͕ม ΘΓ͔ͬͨ͢Γɺ༧֎ͷ͕ൃੜͨ͠Γͯ͠ɺ
ରԠ͠ଓ͚Δඞཁ͕͋Δ ˠ ML Model࡞ऀʹෛ୲ֻ͕͔Γଓ͚Δ ˠ SREͱͯࣗ͠ಈԽΛؚΜͩΈͰղܾ͍ͨ͠
Future Plans • ࣾͷσʔλ͔ΒಛྔΛநग़͢Δͯ͠ Embedding͢Δ൚༻ͷΈ ˠదͳྨثͱΈ߹ΘͤΕɺ୭Ͱͦͦ͜ ͜ͷྨϞσϧΛ࡞Ͱ͖Δ? →FBLearner Flowతͳͭ? •
ࣾͷղܾʹಛԽͨ͠ઐ༻ͷAutoMLతͳԿ ͔?
·ͱΊ • ML ModelͷServingʹɺগ͠௨ৗͱҧ͏Πϯϑ ϥ͕ඞཁʹͳΔ →·ͩϕετɾϓϥΫςΟε͔Βͳ͍ • ਓͷߦಈΛ૬खʹ͢Δͷେม • ͦͦMLͳػೳΛຊ֨ӡ༻͠Α͏ͱ͢Δͱɺେ
෯ͳࣗಈԽɾΈԽΛਐΊͳ͍ͱ্ख͘ߦ͔ͳ ͍
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠!!
We are Hiring!!
SRE ML Reliability • SysML? MLOps? ৽͍͠Job description • SREεΩϧ+MLͷجૅࣝ
• MLΠϯϑϥͷࣗಈԽɾΈԽΛਪ͠ਐΊͯ ͘ΕΔਓࡐ • ͪΖΜଞͷ৬छઈࢍืूத!!
ৄࡉͪ͜Β https://careers.mercari.com/