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 App Runnerについてとこれから期待したいこと/About-AWS-App-Ru...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
hedgehog051
August 27, 2021
Programming
120
0
Share
AWS App Runnerについてとこれから期待したいこと/About-AWS-App-Runner-and-what-to-expect-in-the-future
hedgehog051
August 27, 2021
More Decks by hedgehog051
See All by hedgehog051
AWS Generative AI CDK Constructsについて
hedgehog051
3
340
KnowledgeBasesとAgentsの紹介
hedgehog051
4
1.9k
BedrockUpdatesPost-GW Summary
hedgehog051
4
960
来てくれClaude 3! Agents for Amazon Bedrockのモデル比較或いはチューニングの話
hedgehog051
5
1.8k
Relic_Tech_Camp_GenerativeAI.pdf
hedgehog051
12
89k
concurrencyで爆速並列デプロイ
hedgehog051
1
1.9k
AWSにおけるデータ分析入門 / Introduction To Data Analytics In AWS
hedgehog051
0
250
また増えた!?AWSコンテナ関連サービスを10分でざっくり掴もう/Learn-about-AWS-0container-services-in-10-minutes
hedgehog051
0
130
Other Decks in Programming
See All in Programming
PCOVから学ぶコードカバレッジ #phpcon_odawara
o0h
PRO
0
260
おれのAgentic Coding 2026/03
tsukasagr
1
150
実用!Hono RPC2026
yodaka
2
220
ルールルルルルRubyの中身の予備知識 ── RubyKaigiの前に予習しなイカ?
ydah
1
180
How Swift's Type System Guides AI Agents
koher
0
260
「話せることがない」を乗り越える 〜日常業務から登壇テーマをつくる思考法〜
shoheimitani
4
800
How We Benchmarked Quarkus: Patterns and anti-patterns
hollycummins
1
140
AIエージェントで業務改善してみた
taku271
0
520
ドメインイベントでビジネスロジックを解きほぐす #phpcon_odawara
kajitack
3
770
TiDBのアーキテクチャから学ぶ分散システム入門 〜MySQL互換のNewSQLは何を解決するのか〜 / tidb-architecture-study
dznbk
1
170
事業会社でのセキュリティ長期インターンについて
masachikaura
0
250
Xdebug と IDE による デバッグ実行の仕組みを見る / Exploring-How-Debugging-Works-with-Xdebug-and-an-IDE
shin1x1
0
380
Featured
See All Featured
Done Done
chrislema
186
16k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
310
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
420
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
500
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
5.6k
GitHub's CSS Performance
jonrohan
1032
470k
Typedesign – Prime Four
hannesfritz
42
3k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
270
Design in an AI World
tapps
0
190
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.6k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
520
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Transcript
" Q Q 3 V O O F S
ʹ ͭ ͍ͯ ͱ ͜ Ε ͔ Β ظ ͠ ͨ ͍ ͜ ͱ ۽ ా
ࣗݾհ
ࣗݾհ • ۽ాɹ ,BO,VNBEB • ݄ʹגࣜձࣾ3FMJDೖࣾ • ॴଐɿ1*ࣄۀຊ෦@γεςϜσϕϩοϓϝϯτࣄۀ෦@51'
• "84ׂͱ͖
"QQ3VOOFSͱ
Πϯϑϥߏஙෆཁͷ ϑϧϚωʔδυܕίϯςφΞϓϦ σϓϩΠαʔϏε
͜Ε·ͰͷΞϓϦ࣮ߦͷྺ࢙
"QQ3VOOFSͱ • ΦϯϓϨϛεͷ߹
"QQ3VOOFSͱ • "84&$ͷ߹
"QQ3VOOFSͱ • "84&$4PO&$ͷ߹
"QQ3VOOFSͱ • "84&$4PO'BSHBUFͷ߹
"QQ3VOOFSͱ • "84"QQ3VOOFSͷ߹
"QQ3VOOFS
"QQ3VOOFSͷಛ
"QQ3VOOFSͷಛ • छྨͷ4PVSDFλΠϓͰ࣮ߦՄೳ • ίϯςφΠϝʔδ &$31SJWBUF1VCMJD • 1VCMJD3FHJTUSZͷ߹ɺσϓϩΠτϦΨʔखಈͷΈ
• ιʔείʔυ 1ZUIPOPS/PEFKT
"QQ3VOOFSͷಛ • ΠϯελϯεαΠζͷΈ߹Θͤ • ετϨʔδ • (J#ͷΤϑΣϥϝϧετϨʔδΠϯελϯεຖ • ίϯςφΠϝʔδΛల։͢Δ༻్ؚΉ
"QQ3VOOFSͷಛ • σϓϩΠλΠϓ • खಈσϓϩΠ • ࣗಈσϓϩΠ • ίϯςφΠϝʔδ͔ιʔείʔυ͕ߋ৽͞ΕΔͱ
"QQ3VOOFS͕ࣗಈతʹ#VJMEͱ%FQMPZΛ࣮ߦ • #MVF(SFFO%FQMPZ • ϔϧενΣοΫ 5$1 • σϓϩΠ࣌ͷ)FBMUIDIFDLࣦഊ࣌ʹࣗಈϩʔϧόοΫ
"QQ3VOOFSͷಛ • ϩʔυόϥϯγϯάͱΦʔτεέʔϦϯά • ಉ࣮࣌ߦ • ˞֤ΠϯελϯεʹৼΓ͚Δಉ࣌ϦΫΤετ • ࠷খαΠζ
Ҏ্ • ࠷ݶ*EMFঢ়ଶͱ͢ΔΠϯελϯε • ࠷େαΠζ ҎԼ • εέʔϧՄೳͳΠϯελϯε
"QQ3VOOFSͷಛ • ಉ࣌ϦΫΤετ૯ • ಉ࣮࣌ߦɺ.JOJɺ.BY
"QQ3VOOFSͷಛ • ಉ࣌ϦΫΤετ૯ • ಉ࣮࣌ߦɺ.JOJɺ.BY
"QQ3VOOFSͷಛ • ՝ۚମܥ • *EMFঢ়ଶͷΠϯελϯεͷ߹ • 64%(#࣌ • "DUJWFঢ়ଶͷΠϯελϯεͷ߹
• 64%(#࣌ɹɹ64%W$16࣌ • #VJME • 64%#VJME࣌ؒ • ࣗಈσϓϩΠ • 64%ΞϓϦέʔγϣϯ݄
"QQ3VOOFSͷಛ • ϦΫΤετ૯ • W$16.FNPSZ(#ɺಉ࣮࣌ߦɺ.JOJɺ.BY • 64% (# *OTUBODF
.JOJNVN 64%࣌
"QQ3VOOFSͷಛ • ϦΫΤετ૯ • W$16.FNPSZ(#ɺಉ࣮࣌ߦɺ.JOJɺ.BY • 64% (# *OTUBODF
.JOJNVN 64%࣌ • W$16 *OTUBODF64%࣌ • 5PUBM 64%࣌
"QQ3VOOFSͷಛ • ϩάཧ • σϓϩΠϩά • ΞϓϦέʔγϣϯϩά • Πϕϯτϩά
• ϝτϦΫε • ϦΫΤετؔ࿈ • ϦΫΤετɺϨΠςϯγɺ&3303ίʔυ • Πϯελϯεؔ࿈ • ΞΫςΟϒΠϯελϯε
"QQ3VOOFSͷಛ • ΧελϜυϝΠϯ • "QQ3VOOFSʹΑΔΞϓϦέʔγϣϯσϓϩΠͰׂΓͯΒ ΕΔυϝΠϯҎ֎ͷಠࣗυϝΠϯΛؔ࿈͚Մೳ • ҉߸Խ •
"84ϚωʔδυΩʔ σϑΥϧτ PSΧελϚʔཧܕΩʔ • Ұ࣌ఀࢭػೳ • ఀࢭத՝ۚͳ͠
"QQ3VOOFSͷಛ • ͱ͍͑ɺ·ͩ·ͩ։ൃ్্ • ϓϥΠϕʔτ71/͕ະରԠͳҝɺͲ͏ͯ͠3%4Λ͍ͨ ͍߹3%4ΛύϒϦοΫʹஔ͘ඞཁ͕͋Δ • બΔΠϯελϯελΠϓͷબࢶ͕গͳ͍ •
4(ͳͲͷ੍ޚෆՄ • 8"'࿈ܞෆՄ • ΧφϦΞϦϦʔεෆՄ • ॾʑநԽ͞Ε͍ͯΔͷͰΧελϚΠζੑ͍ • %PDLFS$PNQPTFະରԠFUDʜ
ϩʔυϚοϓ • ։ൃϩʔυϚοϓ • ࣌ؒʹج͍ͮͨΞϓϦέʔγϣϯϩάϑΟϧλϦϯά • ϓϥΠϕʔτ71$ͱͷ௨৴ • 4PVSDFλʔήοτʹ$PEF$PNNJU(JU)VC&OUFSQSJTFɺ
%PDLFS)VCͳͲΛՃFUDʜ IUUQTHJUIVCDPNBXTBQQSVOOFSSPBENBQ
·ͱΊ
·ͱΊ • ؆୯ʹΞϓϦέʔγϣϯΛσϓϩΠग़དྷΔ͚Ͳສೳ͡Όͳ͍ • ཉ͍͠ػೳ*TTVFΛ্͛Δ্͔͕ͬͯΔ*TTVFʹ͍͍ͶΛԡͤ ༏ઌ্͕͕Δ͔͠Εͳ͍ɺΒ͍͠ ɹɹɹɹɹɹ͜Ε͔Βʹظ