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
AWS IoT を用いた DeNA オートモーティブアーキテクチャ / DeNA Techco...
Search
Hiroyoshi HOUCHI
February 07, 2018
Technology
35k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
AWS IoT を用いた DeNA オートモーティブアーキテクチャ / DeNA Techcon 2018 Houchi Hiroyoshi
Hiroyoshi HOUCHI
February 07, 2018
More Decks by Hiroyoshi HOUCHI
See All by Hiroyoshi HOUCHI
aws-dev-day-2020-f9-cdk-bestpractice
hixi
0
360
CDK 利用者から見る CDK
hixi
3
1.2k
ITS を支える 情報集約基盤 アーキテクチャ / ITS Tech Study #02
hixi
1
870
SIerIoT vol.7
hixi
1
640
sake-game-gcp-5.pdf
hixi
0
160
appengine-ja-night-35.pdf
hixi
0
150
Other Decks in Technology
See All in Technology
初めてのDatabricks勉強会
taka_aki
2
220
「勝手に広まる」人気 AI エージェントを爆速で作ろう!(AWS Summit Japan 2026講演資料)
minorun365
PRO
10
2.8k
MySQL & MySQL HeatWave Report - June 2026
freshdaz
0
260
作る力から、見極める力へ — AI時代に広がるエンジニアの価値と役割
rince
0
390
Docker Desktop不要の時代が来る? WSL標準の「wslc」で Linuxコンテナを動かしてみた.
ueponx
0
440
背中から、背中へ /paying forward to community
naitosatoshi
0
200
AIエージェントとPhysical AIが拓く製造業の変革(ハノーバーメッセリキャップ)
iotcomjpadmin
0
200
フロントエンドイチゲキ実装 ― Figmaデザインと画面設計書からAIに実装・テストを書かせるための”下ごしらえ” / 20260627 Yusuke Mazuka
shift_evolve
PRO
0
120
Kotlin 開発のツラミを爆破した話! / Explode the difficulty of Kotlin dev!
eller86
0
130
Text-to-SQLをAgentCoreで実現し、生成されるSQLの精度を定量的に評価する
yakumo
2
320
アラート調査向けAIエージェントの本番導入とその後/AI Agents for Alert Investigation: Production Deployment and After
taddy_919
1
310
AWS Summit Japan 2026の振り返りと2027へ向けて / AWS Summit Japan 2026 Recap and Prospects for 2027
kaminashi
1
170
Featured
See All Featured
Paper Plane (Part 1)
katiecoart
PRO
0
9.4k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
590
Building Adaptive Systems
keathley
44
3.1k
Become a Pro
speakerdeck
PRO
31
6k
Product Roadmaps are Hard
iamctodd
PRO
55
12k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.9k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
380
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
630
Site-Speed That Sticks
csswizardry
13
1.2k
Designing for humans not robots
tammielis
254
26k
Transcript
"84*P5Λ༻͍ͨ %F/"ΦʔτϞʔςΟϒΞʔΩςΫνϟ ΦʔτϞʔςΟϒࣄۀ෦جװγεςϜ։ൃ෦ ์Ղ
ຊൃදʹ͍ͭͯ w۩ମతͳΞʔΩςΫνϟΛ͠·͢ wඞཁͳ෦ͷ༻ޠɾαʔϏεʹ͍ͭͯ৮Ε·͕͢ɺ આ໌্ඞཁͳ෦ͷΈʹݶΒΕ·͢ wਖ਼ࣜͳఆٛʹ͍ͭͯެࣜϦϑΝϨϯεΛࢀর͍ͩ͘͞ 2
ࣗݾհ ์Ղ !IJYJ@IZJ w%F/"ೖࣾ ݱΦʔϓϯϓϥοτϑΥʔϜࣄۀ෦ 4PDJBM"1* ։ൃ
ࣾ.PCJMF#BB4 ։ൃϦʔμ ڠۀҊ݅ ։ൃΠϯϑϥ "OE"QQ ΫϥυΞʔΩςΫνϟઃܭ w݄ΦʔτϞʔςΟϒࣄۀ෦ ΞʔΩςΫτɾڞ௨ج൫ 3
None
%F/"ΦʔτϞʔςΟϒ 5 ※ ϩϘωίϠϚτ®ϠϚτϗʔϧσΟϯάεגࣜձࣾͷొඪͰ͢
.PCJMJUZ$PNQPOFOU 6 ं྆ཧ ं྆ొ FUDFUD ं྆ొ ं྆ใू ं྆ొ ं྆ใͷՄࢹԽ ं྆ొ
ϓϩόΠμɾ αʔϏαʔ࿈ܞ ं྆ొ ं྆ͱͷ ΠϯλϥΫγϣϯ
.PCJMJUZ$PNQPOFOU 7 ं྆ཧ ं྆ొ FUDFUD ं྆ొ ं྆ใू ं྆ొ ं྆ใͷՄࢹԽ ं྆ొ
ϓϩόΠμɾ αʔϏαʔ࿈ܞ ं྆ొ ं྆ͱͷ ΠϯλϥΫγϣϯ
ຊͷ༰ wΩʔϫʔυ 7FIJDMF"SDIJUFDUVSFPO"84 ं྆ใूج൫ w͞ͳ͍༰ ֤ٕज़తϓϩτίϧɾ"84αʔϏεͷৄࡉ 8
9 "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
10 ं྆ใूج൫ "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
ं྆ใूج൫ wఏڙػೳͱٕज़༻ޠ ं྆ɾαʔόʹର͢ΔೝূೝՄ w "84*P59$FSUJpDBUFT"84*P5%JSFDU$BMMTUP"844FSWJDFT "DDFTT,FZT'PS"84*".6TFST"84454 ं྆ใͷ1VCMJTI w
.255 "84*P5 ं྆ใͷϦΞϧλΠϜ4VCTDSJCF w .255 "84*P5 δΦؔΛ༻͍ͨं྆ใͷऔಘ w &MBTUJDTFBSDI "NB[PO&MBTUJDTFBSDI4FSWJDF 11
σʔλϑϩʔ
13 ं྆ొ w"84*P5%JSFDU$BMMTUP"844FSWJDFT w-BNCEB w5IJOH4IBEPX "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
14 ं྆ใͷૹ৴ w"84*P59$FSUJpDBUFT w.255 "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
15 ं྆ใͷอଘ w.255 w3VMF&OHJOF -BNCEB w5IJOH4IBEPX "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
16 ं྆ใͷൖ w.255 w3VMF&OHJOF w&MBTUJDTFBSDI w-BNCEB "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
લఏͱ༻ޠͷཧ
લఏ݅ wं྆ ं྆ͱं྆ʹࡌ͞Ε͍ͯΔػث ंࡌػث ͔Βͷ௨৴Λࢦ͢ ंࡌػثཧ͞ΕͨػثͰ͋Γɺ͍ΘΏΔҰൠਓ͚ʹ͞ΕΔػثͰͳ͍ wं྆ొ
কདྷతʹं྆ཧίϯϙʔωϯτͱͯ͠ੜ·ΕΔ͖Ͱ͋Γɺࠓճͷं྆ొ ใूج൫͚ʹ࡞ΒΕͨݶఆతͳػೳ wं྆ͱͷΠϯλϥΫγϣϯ 7FIJDMF"SDIJUFDUVSFͱͯ͠ɺं྆ʹରͯ͠˓˓Λ࣮ߦͯ͠΄͍͠ͱ͍ͬͨ༰ ඞཁʹͳΔ͕ɺࠓճର֎ 18
༻ޠͷͬ͘͟Γͳઆ໌ w.255 ίωΫγϣϯΛுΓͬͺͳ͠ͷ1VC4VCϞσϧͷϓϩτίϧ ౸ୡอূ 2P4 Λ֤ϝοηʔδ͝ͱʹબՄೳ
ΫϥΠΞϯτଆͰ4VCTDSJCF͢Δ͜ͱͰαʔό͔Βͷ໋ྩ؆୯ʹૹΕ Δ w"84*P59$FSUJpDBUJPOT "84*P5ʹ.255Ͱଓ͢Δࡍʹར༻ՄೳͳೝূํࣜͷҰͭ "84αʔϏεʹର͢ΔೝՄΛࣗ༝ʹઃఆՄೳ 19
༻ޠͷͬ͘͟Γͳઆ໌ w"DDFTT,FZT'PS"84*".6TFST Ϣʔβʹඥ͚ͮΒΕͨ,FZ4FDSFU "84αʔϏεʹର͢ΔೝՄΛࣗ༝ʹઃఆՄೳ w"84454 "844FDVSJUZ5PLFO4FSWJDF
Ұ࣌తηΩϡϦςΟೝূτʔΫϯ 5FNQPSBSZ4FDVSJUZ5PLFO ΛൃߦՄೳ "84αʔϏεʹର͢ΔೝՄΛࣗ༝ʹઃఆՄೳ w&MBTUJDTFBSDI શจݕࡧΤϯδϯ ڑݕࡧൣғݕࡧͳͲͷδΦؔΛαϙʔτ͍ͯ͠Δ 20
༻ޠͷͬ͘͟Γͳઆ໌ w"84*P53VMF&OHJOF .2551VCMJTI͞Εͨ5PQJDʹରͯ͠ҙͷॲཧΛ͔͚Δ͜ͱ͕ՄೳͳΈ ࠓճجຊతʹ-BNCEBΛىಈͤ͞ΔͨΊʹ͍ͬͯΔ w"84*P55IJOH4IBEPX ,74ͷΑ͏ͳσʔλϕʔεɻं྆ใΛอଘ͍ͤͯ͞Δɻ
ࠩߋ৽͕ՄೳͰɺߋ৽͞Εͨ߹ʹ.2555PQJDʹରͯ͠ϑϧσʔλ͕ 1VCMJTI͞ΕΔ w"84-BNCEB 'BB4ϓϩάϥϜΛ࣮ߦ͢Δج൫ 21
ຊےʹͲͬͯ
σʔλϑϩʔ wं྆ొ wं྆ใͷૹ৴ wं྆ใͷอଘ wं྆ใͷൖ 23
σʔλϑϩʔ wं྆ొ wं྆ใͷૹ৴ wं྆ใͷอଘ wं྆ใͷൖ 24
ं྆ొ 25 wं྆ͷొ wं྆ผͷূ໌ॻͷൃߦ
None
None
\ !JE999999 ^
\ TUBUF\ SFQPSUFE\ EFWJDF\ !JE999999 ^ ^ ^ ^
None
"QQFOEJYं྆ຖͷূ໌ॻΛൃߦ͢Δ 31 ं྆ผͷڋ൱ ِͷڋ൱
σʔλϑϩʔ wं྆ొ wं྆ใͷૹ৴ wं྆ใͷอଘ wं྆ใͷൖ 32
ं྆ใͷૹ৴ 33 wೝূ "84*P5$FSUJpDBUF w.2555PQJD QSPWJEFST!TUBUVTCTPO w1BZMPBE
ӈهͷCTPOදݱ w2P4 ૹΔσʔλຖʹҙ \ !QPT\ MBUYYY MPOYYY ^ NPEFYYYY ^
σʔλϑϩʔ wं྆ొ wं྆ใͷૹ৴ wं྆ใͷอଘ wं྆ใͷൖ 34
ं྆ใͷอଘ 35 w3VMF&OHJOF -BNCEB CTPOΛKTPOʹมͯ͠5IJOH4IBEPXΛࠩߋ৽ \ TUBUF\ SFQPSUFE\ TUBUVT\
!QPT\ MBUYYY MPOYYY ^ NPEFYYYY ^ ^ ^ ^
"QQFOEJY5IJOH4IBEPXΛΘͳ͍ 36 !QPTͰཉ͍͠ͳ͊ MBU MPO ͦͷ··ૹΔΑ KTPOͩΑ CTPOͰૹΓ͍ͨΑ
σʔλϑϩʔ wं྆ొ wं྆ใͷૹ৴ wं྆ใͷอଘ wं྆ใͷൖ 37
ं྆ใͷൖ 38 w5IJOH4IBEPX͔Βͷ1VCMJTIʹΑΓϑϧϦιʔεΛऔಘ &MBTUJDTFBSDIʹอଘ .2555PQJDʹ1VCMJTI ͦͷଞ࿈ܞαʔϏε ࠓճͩͱ(PPHMF$MPVE1VC4VC
ʹ1VCMJTI "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
5IJOH4IBEPX͔ΒಘΒΕΔϑϧϦιʔε 39 \ DVSSFOU\ TUBUF\ SFQPSUFE\ TUBUVT\ !QPT\ MBUYYY
MPOYYY ^ NPEFYYYY ^ EFWJDF\ !JEYYYY ^ ^ ^ ^ ^ "NB[PO&MBTUJDTFBSDI4FSWJDF TFSWJDFSTEFWJDFT\EFWJDF!JE^KTPO
ं྆ใൖϢʔεέʔε wܘOϝʔτϧҎͷं྆ใऔಘGPSαʔϏεར༻ऀ͚ΞϓϦ wಛఆͷं྆ใϦΞϧλΠϜऔಘGPSαʔϏεར༻ऀ͚ΞϓϦɾใӾཡ ༻γεςϜ 40
ܘOϝʔτϧҎͷं྆ใऔಘGPSαʔϏεར༻ऀ͚ΞϓϦ 41
ಛఆͷं྆ใϦΞϧλΠϜऔಘGPSαʔϏεར༻ऀ͚ΞϓϦ 42
·ͱΊ w.PCJMJUZ$PNQPOFOU ं྆ใूج൫ w"84αʔϏεϑϧ׆༻ w"84αʔϏεʹҰ ূ໌ॻऔಘϓϩηε 5IJOH4IBEPXΛͦͷ··Θͳ͍
༧ޠΛఆٛͨ͠ڞ௨ج൫ 43
%F/"ΦʔτϞʔςΟϒ 44 ं྆ཧ ं྆ొ ं྆ใू ं྆ొ ं྆ใͷՄࢹԽ ं྆ొ ϓϩόΠμɾ αʔϏαʔ࿈ܞ
ं྆ొ ं྆ͱͷ ΠϯλϥΫγϣϯ ं྆ొ FUDFUD