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で作るLINEWORKSチャットボット
Search
Shintaro Yamasaki
June 30, 2020
Technology
0
900
AWSで作るLINEWORKSチャットボット
6/30 LINE WORKS Tech Talk オンラインLT大会!
https://lwugdev.connpass.com/event/179364/
Shintaro Yamasaki
June 30, 2020
Tweet
Share
More Decks by Shintaro Yamasaki
See All by Shintaro Yamasaki
【梅キャン勉強会】今週発生したAWS障害について
mmclsntr
0
73
LINE WORKSのDevelopers機能紹介
mmclsntr
0
93
LINE WORKSとシステムを繋ぐ LINE WORKSのDevelopers機能紹介
mmclsntr
0
280
HL2024 LINE WORKSの紹介
mmclsntr
0
92
LINE WORKSへ簡単通知!Incoming Webhookアプリの紹介
mmclsntr
0
600
連携を加速させる「WOFF」の紹介 - LWUG勉強会240411
mmclsntr
0
730
LINE Developersの紹介
mmclsntr
0
210
HL2023 LINE WORKS の紹介
mmclsntr
0
140
WOFFの紹介
mmclsntr
0
1.4k
Other Decks in Technology
See All in Technology
Oracle Database@AWS:サービス概要のご紹介
oracle4engineer
PRO
2
650
「エッジ×分散生成AI」の技術と変わる産業、そしてITの未来
piacerex
0
100
20251203_AIxIoTビジネス共創ラボ_第4回勉強会_BP山崎.pdf
iotcomjpadmin
0
170
Bedrock AgentCore Evaluationsで学ぶLLM as a judge入門
shichijoyuhi
2
310
コールドスタンバイ構成でCDは可能か
hiramax
0
130
ソフトウェアエンジニアとAIエンジニアの役割分担についてのある事例
kworkdev
PRO
1
350
歴史から学ぶ、Goのメモリ管理基礎
logica0419
3
280
TED_modeki_共創ラボ_20251203.pdf
iotcomjpadmin
0
190
人工知能のための哲学塾 ニューロフィロソフィ篇 第零夜 「ニューロフィロソフィとは何か?」
miyayou
0
270
All About Sansan – for New Global Engineers
sansan33
PRO
1
1.3k
2025年の医用画像AI/AI×medical_imaging_in_2025_generated_by_AI
tdys13
0
280
Agentic AIが変革するAWSの開発・運用・セキュリティ ~Frontier Agentsを試してみた~ / Agentic AI transforms AWS development, operations, and security I tried Frontier Agents
yuj1osm
0
180
Featured
See All Featured
Raft: Consensus for Rubyists
vanstee
141
7.3k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
196
70k
HDC tutorial
michielstock
1
290
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
350
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Site-Speed That Sticks
csswizardry
13
1k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
0
220
A Tale of Four Properties
chriscoyier
162
23k
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
420
Designing for humans not robots
tammielis
254
26k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
1
270
Transcript
Ͱ࡞Δ νϟοτϘοτ ΞΠϨοτגࣜձࣾࢁ㟒৻ଠ
ࣗݾհ ࢁ㟒৻ଠ ϠϚαΩγϯλϩ ΞΠϨοτגࣜձࣾ ΫϥυΠϯςάϨʔγϣϯࣄۀ෦.41։ൃηΫγϣϯ ΠϯϑϥαʔόʔαΠυΤϯδχΞ ڌେࡕ "84Λத৺ͱͨ͠ઃܭɾߏஙόοΫΤϯυ։ൃ ओʹαʔόʔϨε͕ಘҙ
ࣾͷࢹۀޮԽɾࣗಈԽʹैࣄ "84"1/5PQ&OHJOFFST ͖ͳ-*/&803,4"1*τʔΫ#PU "84ೝఆࢿ֨ 2
ΞΠϨοτגࣜձࣾ Ϋϥυͷಋೖઃܭ͔Βߏஙɺࢹɺӡ༻ɺ͞ΒʹγεςϜ։ൃσβΠϯ੍࡞·Ͱɺ ૯߹తͳαʔϏεΛϫϯετοϓʹఏڙɻ w ࿈ଓ"84"1/ϓϨϛΞίϯαϧςΟϯάύʔτφʔ w "1/$POTVMUJOH1BSUOFSPGUIF:FBSड w ($1ϓϨϛΞαʔϏεύʔτφʔ w
౦ژɾ໊ݹɾେࡕʹڌΛ࣋ͭ 3
4 https://cloudpack.jp/info/20190521.html 4
"84Λಘҙͱ͢Δฐࣾ νϟοτϘοτ"84Ͱߏங ࠓɺ"84Ͱߏங͢ΔࡍͷϙΠϯτʹ͍ͭͯհ͠·͢ɻ 5
"84ͱ 6 (Amazon Web Services) ʹαʔϏεఏڙ։࢝͞ΕͨɺΫϥυίϯϐϡʔςΟϯάαʔϏε ݩɺ"NB[PO͕࣋ͭϏδωε՝ͷղܾʹੜ·Εͨͷ ୭Ͱར༻Ͱ͖ΔΑ͏ʹˠύϒϦοΫΫϥυαʔϏε Ҏ্ͷαʔϏε ੈքதʹͷϦʔδϣϯͱͷΞϕΠϥϏϦςΟʔκʔϯ
ओཁͳ׆༻༻్ ΣϒαΠτ ΣϒɾϞόΠϧΞϓϦέʔγϣϯ όοΫΞοϓɾࡂରࡦ Ϗοάσʔλ *P5 ϏδωεΞϓϦέʔγϣϯ https://aws.amazon.com/jp/about-aws/
ฦ -*/&803,4αʔόʔ νϟοτϘοταʔόʔ ͜ΕΛࣗલͰ༻ҙ͢Δ ˠ"84Ͱߏͯ͠ΈΔ ϝοηʔδ 8FCIPPL τʔΫ#PU"1* Ϣʔβʔ -*/&803,4ΞϓϦ
8FCαʔόʔ σʔλϕʔε ͳͲ νϟοτϘοτγεςϜͷߏ 7
8 8FCαʔόʔͲ͏͢Δʁ 8 &$ &MBTUJD$POUBJOFS4FSWJDF &$4 -BNCEB 'BSHBUF Ծαʔόʔ ༻్ෳࡶͳνϟοτϘοτ
ࣗવݴޠॲཧͳͲ αʔόʔϨεͳίϯϐϡʔςΟϯάαʔϏε αʔόʔཧ͕ෆཁʹͳΔɻ Πϕϯτ͕ൃੜ͚ͨͩ͠՝ۚ ػ࣌ؒͷ՝ۚൃੜ͠ͳ͍ ɻ "1*(BUFXBZͱΈ߹Θͤͯར༻͢Δɻ ༻్؆୯ͳνϟοτϘοτ *'5)&/ϧʔϧϨϕϧͷ؆қͳͷ ίϯςφͷΦʔέετϨʔγϣϯ ࣮ߦڥɺ&$·ͨ'BSHBUF ༻్&$دΓͷ༻్ɻΞϓϦέʔγϣϯͷσϓϩΠɾ εέʔϦϯάͳͲ͕༗ར αʔόʔϨεͳίϯςφ࣮ߦڥ &$4 &,4Ͱར༻Մೳ
σʔλϕʔεͲ͏͢Δʁ σʔλϕʔεαʔϏε 9 3%4 %ZOBNP%# ϦϨʔγϣφϧσʔλϕʔε .Z42- 1PTUHSF42- 0SBDMF
.JDSPTPGU42-4FSWFSͳͲ Ϙοτ͔Βͷొ༰ͷཧ /P42-σʔλϕʔε ,FZ7BMVFܕ ॊೈͳεέʔϦϯάɻαʔόʔϨεɻ ηογϣϯใͷཧͳͲʹ͑Δɻ
ΩʔཧͲ͏͢Δʁ 10 4ZTUFNT.BOBHFS 1BSBNFUFS4UPSF 4FDSFUT.BOBHFS ύϥʔϝʔλʔཧ ύϥϝʔλͷ҉߸ԽՄೳ ൿಗใͷཧ ΩʔͷϩʔςʔγϣϯͳͲͷػೳ࣋ͭ
"NB[PO-FY ͦͷଞ 1 1 ձܕΠϯλʔϑΣΠεΛఏڙ͢Δ"84αʔϏεɻ "MFYBͰΘΕ͍ͯΔٕज़ͱಉ͡ͷ͕ΘΕ͍ͯΔͦ͏ɻ ࣗવݴޠॲཧ͚ͩͰͳ͘Իೝࣝแ ݱࡏɺ"NB[PO-FYถࠃӳޠͷΈରԠ͓ͯ͠Γɺ ຊޠ͓Αͼ౦ژϦʔδϣϯͰͷར༻ରԠ͍ͯ͠ͳ͍ɻ
12 https://qiita.com/mmclsntr/items/ccf4df3034679a3885ba
13 νϟοτϘοτࣄྫ ϫʔΫεϞόΠϧ༷ࣄྫϖʔδIUUQTMJOFXPSLTNPCJMFDPNKQQS ฐࣾࣄྫϖʔδIUUQTDMPVEQBDLKQDBTFTUVEZIUNM ύφιχοΫϗʔϜζ༷ ׆ಈొͷͨΊͷνϟοτϘοτ > ͜Ε·ͰɺΦϯϥΠϯͰڞ༗Ͱ͖ΔࣾπʔϧΛ༻͍׆ಈཧΛߦ͍ͬͯ·͕ͨ͠ɺ׆ಈ༰ొͷ ͨΊͷೖྗෛ୲ࣄॴ֎͔Βొग़དྷͳ͍͜ͱɺશࠃ֤ڌͷσʔλूۀͳͲɺ׆ಈѲΛ્ ͢Δ՝͕͋Γɺʮ͍ͭͰͲ͜Ͱ؆୯ʹ׆ಈొɾѲग़དྷΔڥʯͷ࣮ݱΛݕ౼͍ͯ͠·ͨ͠ɻ
> ϞόΠϧσόΠεʹΑΔࣾ֎Ͱͷखܰͳར༻ͱɺBotͱձ͠ͳ͕Βը໘্ʹ͋ΔϘλϯૢ࡞ͷΈͰ ݁͢ΔΑ͏ͳ؆қͰײతʹ͔Γ͍͢ΠϯλʔϑΣʔε
14 ߏਤ Ұ෦֦େ ฐࣾࣄྫϖʔδIUUQTDMPVEQBDLKQDBTFTUVEZIUNM 8FCαʔόʔ&$4 ࣮ߦڥ'BSHBUF લஈͷ"QQMJDBUJPO-PBE#BMBODFSͰෛՙࢄ
νϟοτϘοτͷηογϣϯཧ%ZOBNP%# ొใ֨ೲ༻ͷσʔλϕʔε3%4 ύϥϝʔλ4ZTUFNT.BOBHFS1BSBNFUFS4UPSF Ͱཧ -BNCEBͰΞΫηετʔΫϯΛఆظతʹߋ৽
15 "84Ͱ-*/&803,4νϟοτϘοτ։ൃ 8FCαʔόʔ&$ -BNCEB &$4ͳͲ σʔλϕʔε3%4 %ZOBNP%#ͳͲ
Ωʔཧ44.1BSBNFUFS4UPSF 4FDSFUT.BOBHFSͳͲ νϟοτϘοτͷλΠϓʹ߹ΘͤͯదʹαʔϏεΛબ͠Έ߹ΘͤΔ 15 ·ͱΊ