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
メルカリの写真検索を支えるバックエンド CCSE 2019 version
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Hirofumi Nakagawa/中河 宏文
July 13, 2019
Programming
0
350
メルカリの写真検索を支えるバックエンド CCSE 2019 version
過去発表分との差分としてEdge関連のデモが追加されています。
デモ動画:
https://youtu.be/UsNMDuZyaJU
Hirofumi Nakagawa/中河 宏文
July 13, 2019
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
210
Kanazawa_AI.pdf
hnakagawa
0
210
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
9.1k
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
1.2k
Mercari ML Platform
hnakagawa
1
17k
mlct.pdf
hnakagawa
2
2.1k
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
270
メルカリのマーケット健全化施策を支えるML基盤
hnakagawa
10
9.1k
Other Decks in Programming
See All in Programming
ぼくの開発環境2026
yuzneri
0
250
CSC307 Lecture 04
javiergs
PRO
0
660
日本だけで解禁されているアプリ起動の方法
ryunakayama
0
280
16年目のピクシブ百科事典を支える最新の技術基盤 / The Modern Tech Stack Powering Pixiv Encyclopedia in its 16th Year
ahuglajbclajep
5
1k
AIと一緒にレガシーに向き合ってみた
nyafunta9858
0
260
なるべく楽してバックエンドに型をつけたい!(楽とは言ってない)
hibiki_cube
0
140
The Past, Present, and Future of Enterprise Java
ivargrimstad
0
620
AI時代のキャリアプラン「技術の引力」からの脱出と「問い」へのいざない / tech-gravity
minodriven
21
7.4k
Data-Centric Kaggle
isax1015
2
780
AIによる高速開発をどう制御するか? ガードレール設置で開発速度と品質を両立させたチームの事例
tonkotsuboy_com
7
2.4k
CSC307 Lecture 01
javiergs
PRO
0
690
インターン生でもAuth0で認証基盤刷新が出来るのか
taku271
0
190
Featured
See All Featured
Why Our Code Smells
bkeepers
PRO
340
58k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
1
1.3k
The Cult of Friendly URLs
andyhume
79
6.8k
Navigating Weather and Climate Data
rabernat
0
110
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.3k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.1k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
330
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.4k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
60
42k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.3k
The Power of CSS Pseudo Elements
geoffreycrofte
80
6.2k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.1k
Transcript
Confidential - Do Not Share 1 ϝϧΧϦͷࣸਅݕࡧΛࢧ͑ΔόοΫΤϯυ גࣜձࣾϝϧΧϦ தՏ จ
Confidential - Do Not Share 2 • 20177݄ೖࣾ • ॴଐSRE→AI/MLνʔϜ
• σόΠευϥΠό։ൃ͔ΒϑϩϯτΤ ϯυ։ൃ·ͰΔԿͰ Twitter: hnakagawa14 GitHub: hnakagawa தՏ จ (Hirofumi Nakagawa) ࣗݾհ 2
Confidential - Do Not Share 3 Introduction
Confidential - Do Not Share 4 What is ࣸਅݕࡧ •
ࣸਅݕࡧͱɺ͍ΘΏΔը૾ ݕࡧػೳ • ΞϓϦ͔ΒࣸਅΛݩʹΛ ݕࡧ͢Δ • ໊ΛΒͳͯ͘ը૾͔ ΒΛݕࡧͰ͖Δ ಈըϦϯΫ: https://youtu.be/kTni8EvOCgI
Confidential - Do Not Share 5 جຊతͳࣸਅݕࡧͷΈ Deep Neural Networks
(DNN)Λ༻ͯ͠ը૾ ͔ΒಛϕΫτϧΛऔಘ औಘͨ͠ಛϕΫτϧΛ Approximate Nearest Neighbor Index(ANN Index) ʹՃͯ͠ը૾indexΛߏங ݕࡧ࣌ʹಉ͘͡ը૾͔Β DNNΛհͯ͠ಛϕΫτϧΛऔ ಘ͠ɺANN Index͔Βݕࡧ 2 3 1
Confidential - Do Not Share 6 What is Kubernetes •
KubernetesʢҎԼk8sʣͱ Φʔϓϯιʔεͷίϯςφɾ ΦʔέετϨʔγϣϯγες Ϝ • k8sʹCustom Resource DefinitionͱݺΕΔಠࣗͷ ϦιʔεΛఆٛͰ͖Δػೳ͕ ͋Γɺ։ൃऀͦͷػೳΛհ ͯ͠k8sͷػೳΛ֦ுͰ͖Δ
Confidential - Do Not Share 7 ML Platform Lykeion •
Training/Serving CRD & ΧελϜ ίϯτϩʔϥ • ίϯςφϕʔεɾύΠϓϥϯ • Training/Serving ίϯςφΠϝʔ δɾϏϧμʔ • ϞσϧɾϨϙδτϦ ࣸਅݕࡧLykeionͱݺΕΔͷ ML Platform্ʹߏங͞Ε͓ͯΓɺԼ هͷػೳPlatformଆͷػೳΛ༻͠ ͍ͯΔ
Confidential - Do Not Share 8 Architectureɹ
Confidential - Do Not Share 9 Architecture֓ཁਤ
Confidential - Do Not Share 10 1.TrainingɾϦιʔεͷ࡞
Confidential - Do Not Share 11 TrainingɾϦιʔεͷ࡞ • Training custom
resourceΛ CronJob͕࡞ • ΧελϜɾίϯτϩʔϥ͕ CRDɾϦιʔεͰઃఆ͞Εͨ ίϯςφϕʔεɾύΠϓϥΠ ϯΛ࣮ߦ • ࣮ߦ͢Δόον୯Ґͱͯ͠ Hourly, Daily, Monthly͕ଘࡏ
Confidential - Do Not Share 12 • ֤ఔΛݸผͷίϯςφɾΠϝʔδͰ࣮ߦ • ϥΠϒϥϦͷґଘؔͳͲڥφΠʔϒͳMLύΠϓϥΠϯͷΛղܾ
• ύΠϓϥΠϯDAGYAMLͰهड़ ֤ఔͷೖग़ྗPersistent VolumeʢҎ ԼPVʣΛհ͢ ίϯςφϕʔεɾύΠϓϥΠϯ
Confidential - Do Not Share 13 TrainingɾϦιʔεͷ࡞ • શͯͷόον࣮ߦใ͕ CRDɾϦιʔεͱͯ͠k8s্ʹ
Δ • ಉ͡ॲཧΛ࠶࣮ߦग़དྷΔͨ Ίɺόονͷ࠶࣮ߦΛ͏ো ෮چ࡞ۀ͕༰қ
Confidential - Do Not Share 14 2.ը૾ͷμϯϩʔυ
Confidential - Do Not Share 15 • S3্ʹଘࡏ͢ΔϝϧΧϦɾΠϝʔδετΞ͔Βը૾Λμϯϩʔυ • ύΠϓϥΠϯ্ͬͱ͕͔͔࣌ؒΔఔʢը૾͕େͳͨΊ)
• ͦͷͨΊPVʹҰఆظؒΩϟογϡ͢ΔࣄʹΑͬͯ࠶ΠϯσοΫε͕ඞཁ ͳ࣌ʹૉૣ͘ύΠϓϥΠϯΛճͤΔΑ͏ʹ͍ͯ͠Δ ը૾ͷμϯϩʔυ
Confidential - Do Not Share 16 3. ΞηοτͷΞοϓϩʔυ
Confidential - Do Not Share 17 • ύΠϓϥΠϯͷՌͰ͋ΔಛϕΫτϧͱANN IndexΛϞσϧɾϨϙδτ Ϧʹอଘ
• શͯͷՌόʔδϣϯཧ͞Εͨঢ়ଶͰอଘ͞ΕΔ • ϞσϧɾϨϙδτϦGCS্ʹߏங ΞηοτͷΞοϓϩʔυ
Confidential - Do Not Share 18 4.ServingΠϝʔδͷϏϧυ
Confidential - Do Not Share 19 1. ϞσϧɾϨϙδτϦΛImage BuilderͱݺΕΔdaemon͕ࢹ 2.
৽͍͠Serving͖͢Ϧιʔε͕Ճ͞ΕΔͱࣗಈͰServingίϯςφɾΠϝ ʔδΛϏϧυ 3. ίϯςφɾΠϝʔδશͯͷANN IndexͷαʔϏϯάʹඞཁͳϦιʔεΛ શؚͯΜͰ͍Δ 4. Ϗϧυ͞ΕͨίϯςφɾΠϝʔδΛίϯςφɾϨδετϦʹϓογϡ ServingΠϝʔδͷϏϧυ
Confidential - Do Not Share 20 5.ServingϦιʔεͷ࡞
Confidential - Do Not Share 21 ServingɾϦιʔεͷ࡞ • Image BuilderίϯςφɾΠϝʔ
δΛϏϧυͨ͋͠ͱɺServingΧε λϜɾϦιʔεΛ࡞ • ServingΧελϜɾίϯτϩʔϥ CRDɾϦιʔεͷઃఆΛݩʹඞཁ ͳDeploymentɺServiceΛ࡞ • ຊγεςϜͰߏங͞ΕͨANN IndexΛݸผͷIndexαʔϏεͱ͠ ͯσϓϩΠ
Confidential - Do Not Share 22 6.ServiceσΟεΧόϦ
Confidential - Do Not Share 23 αʔϏεɾσΟεΧόϦ • Ϋϥελ্ʹଘࡏ͢ΔIndexαʔϏ εΛk8sΛհͯࣗ͠ಈతʹऔಘ͢
Δ • ͳΔ͘େ͖ͳཻͷIndexΛ ༻͢ΔΑ͏ɺҟͳΔظؒɾཻͷ IndexαʔϏε(Hourly, Daily, Monthly) ΛࣗಈతʹΈ߹ΘͤΔ • REST <-> IndexαʔϏεؒͷϓϩ τίϧgRPCΛ༻
Confidential - Do Not Share 24 7.֓ཁਤৼΓฦΓ
Confidential - Do Not Share 25 Conclusionɹ
Confidential - Do Not Share 26 1. ίϯςφɾϕʔεͷ࠶ݱੑͷߴ͍γεςϜ 2. k8sͷCRD/ΧελϜɾίϯτϩʔϥαʔϏεɾσΟεΧόϦͷػೳΛ׆༻
3. Batch Execution as Custom ResourceɺML PlatformͰ࣮ݱ͞Ε͍ͯΔػ ೳΛ༻͠ɺϩόετͳγεςϜΛߏங 4. ΫϥυɾΠϯϑϥΛk8sͰநԽ͢ΔࣄʹΑͬͯɺ֤Ϋϥυɾϕϯμͷྑ ͍ͱ͜औΓΛ͍ͯ͠Δ ࣸਅݕࡧͷόοΫΤϯυɾΠϯϑϥ
Confidential - Do Not Share 27 Next Futureɹ
Confidential - Do Not Share 28 Realtime image search •
EdgeଆͰobject detection & feature extractionΛߦ͏ • feature vectorΛΫΤϦʹANN Index service͔ΒྨࣅΛऔಘ • Graph RuntimeTF Lite + custom operatorΛ༻
Confidential - Do Not Share 29 Realtime image search demo
• ݕࡧʹඞཁͳਪॲཧͷେ෦ΛEdgeଆͰߦ ͍ͬͯΔ • ϦΞϧλΠϜͳΠϯλϥΫγϣϯΛ࣮ݱ • UX্େ͖ͳϝϦοτ͕༗Δ
Confidential - Do Not Share 30 Thank you all for
coming todayɹ