Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
AWS CDKで コンテナイメージスキャンを行う 〜ECRとその他の方法〜 / cdk-con...
Search
k.goto
October 13, 2023
Programming
2
1.7k
AWS CDKで コンテナイメージスキャンを行う 〜ECRとその他の方法〜 / cdk-container-image-scan
2023/10/16開催 JAWS-UG コンテナ支部 × JAWS-UG 千葉支部 #1 〜今知りたいコンテナセキュリティ〜 での登壇資料です。
k.goto
October 13, 2023
Tweet
Share
More Decks by k.goto
See All by k.goto
AWS CDKの仕組み / how-aws-cdk-works
gotok365
17
4.8k
AWS CDK 実践的アプローチ N選 / aws-cdk-practical-approaches
gotok365
7
2k
TypeScript製IaCツールのAWS CDKが様々な言語で実装できる理由 ~他言語変換の仕組み~ / cdk-language-transformation
gotok365
10
1.1k
とあるEdTechベンチャーのシステム構成こだわりN選 / edtech-system
gotok365
7
810
CodePipelineのアクション統合から学ぶAWS CDKの抽象化技術 / codepipeline-actions-cdk-abstraction
gotok365
5
500
AWS CDKにおけるL2 Constructの仕組み / aws-cdk-l2-construct
gotok365
6
1.4k
コミュニティ駆動 AWS CDK ライブラリ「Open Constructs Library」 / community-cdk-library
gotok365
3
530
AWS CDKにおける「再利用性」を考える / aws-cdk-reusability
gotok365
8
3.5k
OSS活動のススメ / oss-activities
gotok365
5
1.5k
Other Decks in Programming
See All in Programming
Jetpack XR SDKから紐解くAndroid XR開発と技術選定のヒント / about-androidxr-and-jetpack-xr-sdk
drumath2237
1
180
Navigation 3: 적응형 UI를 위한 앱 탐색
fornewid
1
440
クラウドに依存しないS3を使った開発術
simesaba80
0
150
開発に寄りそう自動テストの実現
goyoki
2
1.4k
Pythonではじめるオープンデータ分析〜書籍の紹介と書籍で紹介しきれなかった事例の紹介〜
welliving
2
530
Cap'n Webについて
yusukebe
0
150
Kotlin Multiplatform Meetup - Compose Multiplatform 외부 의존성 아키텍처 설계부터 운영까지
wisemuji
0
110
大規模Cloud Native環境におけるFalcoの運用
owlinux1000
0
190
マスタデータ問題、マイクロサービスでどう解くか
kts
0
110
AI前提で考えるiOSアプリのモダナイズ設計
yuukiw00w
0
180
モデル駆動設計をやってみようワークショップ開催報告(Modeling Forum2025) / model driven design workshop report
haru860
0
280
エディターってAIで操作できるんだぜ
kis9a
0
750
Featured
See All Featured
Marketing to machines
jonoalderson
1
4.3k
Building AI with AI
inesmontani
PRO
1
570
AI: The stuff that nobody shows you
jnunemaker
PRO
1
8
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
0
210
Thoughts on Productivity
jonyablonski
73
5k
How Software Deployment tools have changed in the past 20 years
geshan
0
30k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
The Limits of Empathy - UXLibs8
cassininazir
1
190
Darren the Foodie - Storyboard
khoart
PRO
0
1.9k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
34
Being A Developer After 40
akosma
91
590k
How STYLIGHT went responsive
nonsquared
100
6k
Transcript
LHPUP าͷςοΫ "84$%,Ͱ ίϯςφΠϝʔδεΩϟϯΛߦ͏ ʙ&$3ͱͦͷଞͷํ๏ʙ +"846(ίϯςφࢧ෦º+"846(ઍ༿ࢧ෦ ࠓΓ͍ͨίϯςφηΩϡϦςΟ
ࣗݾհ LHPUP w ςοΫϦʔυɾϥʔϝϯ͖ w "84$PNNVOJUZ#VJMEFS %FW5PPMT w าͷςοΫ
ٕज़ϒϩά w ࣗ࡞"84πʔϧͷ044։ൃ w "84$%,ίϯτϦϏϡʔλʔ w 9 5XJUUFS !@TUFQ@UFDI ‣ LHPUP าͷςοΫ
͜ͷͷొஃৼΓฦΓ ˙"84%FW%BZ+BQBO ‣ αʔόʔϨεͳϝʔϧૹ৴γεςϜΛ"84$%,Ͱߏங͠ઍਓنͷڥͰӡ༻ͨ͠ ˙+"846($%,ࢧ෦ ‣ $%,Ͱ7BMJEBUJPO͢Δຊͷํ๏ ˙"QQ3VOOFS/JHIU "844UBSUVQ.FFUVQ
‣ "QQ3VOOFSͰ"QQͰͳ͍ͷΛ3VO͢Δ ˙"84$%,$POGFSFODF+BQBO ‣ "84$%,ͱ;PEΛ׆༻ͨ͠όϦσʔγϣϯύλʔϯू ˙+"846(43&ࢧ෦ ‣ $MPVE8BUDIෳ߹ΞϥʔϜͰ&-#ͷ99Λ͍͍ײ͡ʹݕ͠Α͏ͱͨ͠Β͏·͍͔͘ͳ͔ͬͨ ˙"84%FW%BZ5PLZP ‣ "84$%,ͰֶͿ(P'σβΠϯύλʔϯʙ*B$ʹίʔυઃܭʙ ˙+"846($%,ࢧ෦ ‣ "84$%,Ͱ͏(P'σβΠϯύλʔϯʙ࣮ࡍͲ͏ͳͷʁʙ ˙4UBSUVQ%BZ ‣ ελʔτΞοϓͰͦ͜$%,͕׆͖ͨʙੜ࢈ੑΛ্Ͱ͖ͨͭͷཧ༝ʙ ˙+"846($%,ࢧ෦ ‣ $MPVE'PSNBUJPOϢʔβʔ͕$%,ʹೖͯ͠Έͯࢥͬͨ͜ͱ ύωϧσΟεΧογϣϯ ˙+"846(ίϯςφࢧ෦º+"846(ઍ༿ࢧ෦ ‣ "84$%,ͰίϯςφΠϝʔδεΩϟϯΛߦ͏ʙ&$3ͱͦͷଞͷํ๏ʙ $%,ωλ શొஃɿຊ $%,ωλɿຊ $%,ͷେϑΝϯͰ͢ʂʂʂ $%,ͷܒ׆ಈத
ίϯςφηΩϡϦςΟ
AWS CDKͰίϯςφΠϝʔδεΩϟϯΛߦ͏
"84$%,Ͱίϯςφʁ
"84$%, º ίϯςφΠϝʔδϏϧυ
"84$%,ºίϯςφΠϝʔδϏϧυ w "84$%,Ͱ؆୯ʹίϯςφΠϝʔδͷϏϧυ͕Ͱ͖Δ ‣ *B$ϨΠϠʔ *B$ίʔυ ͰͷΠϝʔδϏϧυɾΠϝʔδϓογϡ͕Մೳ $%,Ҏ֎ͷ*B$πʔϧͰ*B$ͷཧ֎ͰΔ͜ͱ͕ଟ͍ ϦϙδτϦ࡞
ΠϝʔδϏϧυ Πϝʔδϓογϡ
"84$%,ºίϯςφΠϝʔδεΩϟϯʁ w "84$%,͚ͩͰΠϝʔδͷϏϧυ͔Βϓογϡ·Ͱग़དྷͯศརʂ w Ͱɺ"84$%,ͰϏϧυͨ͠ΠϝʔδͷεΩϟϯͲ͏ͬͯʁ ‣ ࣮ɾɾɾ
"84$%,ºίϯςφΠϝʔδεΩϟϯʁ w "84$%,͚ͩͰΠϝʔδͷϏϧυ͔Βϓογϡ·Ͱग़དྷͯศརʂ w Ͱɺ"84$%,ͰϏϧυͨ͠ΠϝʔδͷεΩϟϯͲ͏ͬͯʁ ‣ ࣮ɾɾɾ ཱ֬͞Ε͍ͯͳ͍
"84$%,ºίϯςφΠϝʔδεΩϟϯʁ w "84$%,͚ͩͰΠϝʔδͷϏϧυ͔Βϓογϡ·Ͱग़དྷͯศརʂ w Ͱɺ"84$%,ͰϏϧυͨ͠ΠϝʔδͷεΩϟϯͲ͏ͬͯʁ ‣ ࣮ɾɾɾ ཱ֬͞Ε͍ͯͳ͍ ͱ͍͏͔ ͋·Γฉ͔ͳ͍
Ͱ͢ΑͶʁ
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ҰൠతʹͲ͏ͬͯΠϝʔδεΩϟϯ͢Δͷʁ πʔϧ ‣ &$3 ϕʔγοΫεΩϟϯ
֦ுεΩϟϯ XJUI"NB[PO*OTQFDUPS ‣ αʔυύʔςΟπʔϧ 5SJWZ %PDLMF FUDʜ
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ҰൠతʹͲ͏ͬͯΠϝʔδεΩϟϯ͢Δͷʁ ϑϩʔ ‣ Ұఆִؒ ఆظ ࣮ߦ
ʹճ ‣ ඇಉظ Πϕϯτ ࣮ߦ ΠϝʔδͷϓογϡΛτϦΨʔ ‣ ಉظ࣮ߦ $*$%ύΠϓϥΠϯͷεςοϓ
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ಉظ࣮ߦ $*$%ύΠϓϥΠϯͷεςοϓ ͷྫ ΠϝʔδεΩϟϯ ΠϝʔδϏϧυ Πϝʔδϓογϡ
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ಉظ࣮ߦ $*$%ύΠϓϥΠϯͷεςοϓ ͷྫ ΠϝʔδεΩϟϯ ΠϝʔδϏϧυ Πϝʔδϓογϡ ੬ऑੑݕग़
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ಉظ࣮ߦ $*$%ύΠϓϥΠϯͷεςοϓ ͷྫ ΠϝʔδεΩϟϯ ΠϝʔδϏϧυ Πϝʔδϓογϡ ͤ͞ͳ͍ ੬ऑੑݕग़
ҰൠతͳίϯςφΠϝʔδͷεΩϟϯํ๏ w ಉظ࣮ߦ $*$%ύΠϓϥΠϯͷεςοϓ ͷྫ ΠϝʔδεΩϟϯ ΠϝʔδϏϧυ Πϝʔδϓογϡ ͤ͞ͳ͍ ੬ऑੑݕग़
ϓογϡΛτϦΨʔʹ σϓϩΠ͢Δέʔε҆৺ σϓϩΠલʹऴྃ
͋ΒͨΊͯ
"84$%,Ͱ ίϯςφΠϝʔδεΩϟϯͬͯ Ͳ͏Δͷʁ
ͱΓ͋͑ͣ
&$3Ͱ ͬͯΈ·͢
"84$%,º&$3Πϝʔδ ϓογϡ εΩϟϯ w 3FQPTJUPSZJNBHF4DBO0O1VTI
"84$%,º&$3Πϝʔδ ϓογϡ εΩϟϯ w ੬ऑੑݕग़࣌ͷಉظతରԠʹ͑ͳ͍ ϓογϡ͕τϦΨʔ ੬ऑੑ͕͋ͬͯ ϓογϡࢭΊΒΕͳ͍ʂ ࣮ߦඇಉظ σϓϩΠࢭ·Βͳ͍ʂ
Ϗϧυ ϓογϡ
͡Ό͋ͦͷଞͷํ๏ʁ
"84$%,ºͦͷଞͷΠϝʔδεΩϟϯ w αʔυύʔςΟπʔϧʁ ‣ 5SJWZ ‣ %PDLMF ‣ FUDʜ w
͔͠͠ʜ ‣ $%,"84༻πʔϧͳͷͰ"84Ϧιʔεͷͷ͔͠ແ͍ جຊతʹ ྫ֎͋Γ
ͦͷଞͷํ๏
ແ͍
͡Ό͋
Ͳ͏͢Δʁ
࡞Ε͍͍͡ΌΜ
$POTUSVDU)VC w $%,ίϯετϥΫτϥΠϒϥϦू IUUQTDPOTUSVDUTEFW ‣ Ҏ্ͷΦʔϓϯιʔεͷ$%,ίϯετϥΫτ͕ެ։ ‣ ݸਓͰ࡞ͬͨࣗ࡞ίϯετϥΫτͷެ։Մೳ
044ͱͯ͠ (JU)VCʹύϒϦοΫϦϙδτϦΛ࡞ $%,ίϯετϥΫτΛ࣮ OQNʹύϒϦογϡ $%,༻λά͚Λͯ͠ ʙेܦͭͱ$POTUSVDU)VCʹࣗಈͰొ͞ΕΔ ίϯετϥΫτ $POTUSVDU $%,ಛ༗ͷࣗ༝ͳཻͷϦιʔεू߹ ίϯϙʔωϯτ ɻ "84ఏڙͷͷ͚ͩͰͳ͘Ϣʔβࣗ༝ʹΊΔɻ
࡞ͬͯΈ·ͨ͠
ࣗ࡞ίϯετϥΫτ "84$%,༻ ˞IUUQTDPOTUSVDUTEFWQBDLBHFTJNBHFTDBOOFSXJUIUSJWZ ˞IUUQTDPOTUSVDUTEFWQBDLBHFTJNBHFTDBOOFSXJUIEPDLMF ᶃ JNBHFTDBOOFSXJUIUSJWZ ˞ ᶄ JNBHFTDBOOFSXJUIEPDLMF
˞ ˞ͱΓ͋͑ͣ5ZQF4DSJQUݶఆͰ༻Մೳ ࠓޙ͍͍͔͛ͯͳͱ ˞ ˞
ࣗ࡞ίϯετϥΫτ "84$%,༻ w ಛ ᶃ $%,ϨΠϠʔ $%,ίʔυ ͰɺίϯςφΠϝʔδεΩϟϯΛߦ͏ ʮ5SJWZʯɾʮ%PDLMFʯΛ$%,Ͱ͑ΔΑ͏ʹͳͬͨʂ
$%,͚ͩͰϏϧυɾϓογϡʹՃ͑ͯεΩϟϯ·Ͱߦ͑ΔΑ͏ʹͳͬͨʂ ᶄ σϓϩΠաఔͰϏϧυͨ͠ΠϝʔδΛ͍ճͨ͢ΊɺແବͳϏϧυ͕ൃੜ͠ͳ͍ ʮεΩϟϯͷͨΊʹϏϧυ͠ɺσϓϩΠͷͨΊʹϏϧυʯͳͲΛ͠ͳ͍ ᶅ ੬ऑੑݕͷࡍɺ&$3ͷΠϝʔδͷϓογϡ$%,σϓϩΠΛࢭΊΒΕΔ
ࣗ࡞ίϯετϥΫτ "84$%,༻ w Έ ‣ $%, $MPVE'PSNBUJPO ʹʮΧελϜϦιʔεʯͱ͍͏ಛघͳϦιʔε͕͋Δ $%,͕ରԠ͍ͯ͠ͳ͍ॲཧΛ-BNCEBͰࣗલͰ࣮Ͱ͖Δػೳ
4/4ͰՄ ‣ ͜ͷΧελϜϦιʔε-BNCEBͰʮ5SJWZʯʮ%PDLMFʯΛୟ࣮͘Λ͢Δ ‣ ͜ΕΛ$POTUSVDUԽ͠ɺ$%,ίʔυͰσϓϩΠϑϩʔʹΈࠐΊΔΑ͏ʹ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶃJNBHFTDBOOFSXJUIUSJWZ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶃJNBHFTDBOOFSXJUIUSJWZ Ϗϧυ εΩϟϯ ϓογϡ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶃJNBHFTDBOOFSXJUIUSJWZ ੬ऑੑݕग़࣌Τϥʔʹͯ͠ ϓογϡͤ͞ͳ͍ʂ σϓϩΠΤϥʔऴྃ Ϗϧυ εΩϟϯ ϓογϡ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶃJNBHFTDBOOFSXJUIUSJWZ Φϓγϣϯ৭ʑ͋Γʂ ࢦఆͳ͠Ͱ͍͍ײ͡ʹಈ͖·͢ʂ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶃJNBHFTDBOOFSXJUIUSJWZ ΤσΟλ্ͰͷೖྗબɾೖྗิɾEPDग़ྗ ͳͲʹΑΓੜͷπʔϧΑΓศར͔ʂʁ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶄJNBHFTDBOOFSXJUIEPDLMF
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶄJNBHFTDBOOFSXJUIEPDLMF *HOPSFϧʔϧ͕ࢦఆՄೳʂ Ϗϧυ εΩϟϯ ϓογϡ
ࣗ࡞ίϯετϥΫτ "84$%,༻ ᶄJNBHFTDBOOFSXJUIEPDLMF *HOPSFϧʔϧ͕ࢦఆՄೳʂ Ϗϧυ εΩϟϯ ϓογϡ ੬ऑੑݕग़࣌Τϥʔʹͯ͠ ϓογϡͤ͞ͳ͍ʂ σϓϩΠΤϥʔऴྃ
ࣗ࡞ίϯετϥΫτ "84$%,༻ w 5SJWZͷެࣜυΩϡϝϯτͷΤίγεςϜϖʔδʹࡌͤͯΒ͍·ͨ͠ʂ
࠶ܝ ࣗ࡞ίϯετϥΫτ "84$%,༻ ˞IUUQTDPOTUSVDUTEFWQBDLBHFTJNBHFTDBOOFSXJUIUSJWZ ˞IUUQTDPOTUSVDUTEFWQBDLBHFTJNBHFTDBOOFSXJUIEPDLMF ᶃ JNBHFTDBOOFSXJUIUSJWZ ˞ ᶄ
JNBHFTDBOOFSXJUIEPDLMF ˞ ˞ͱΓ͋͑ͣ5ZQF4DSJQUݶఆͰ༻Մೳ ࠓޙ͍͍͔͛ͯͳͱ ˞ ˞
$%,ͰͷΠϝʔδεΩϟϯํ๏ ཱ֬͞Ε͍ͯͳ͍ʁ
ཱ֬͞Ε·ͨ͠ʂ
·ͱΊ w "84$%,Ͱ ಉظతͳ ίϯςφΠϝʔδεΩϟϯͷํ๏ཱ֬͞Ε͍ͯͳ͍ ‣ Ϗϧυɾϓογϡࣗମ؆୯ ‣ &$3ͰͷඇಉظͳϓογϡεΩϟϯ͋Δ w
"84$%,༻ͷࣗ࡞ίϯετϥΫτΛ࡞ͬͨ 5SJWZ൛ɾ%PDLMF൛ ‣ 044ͱͯ͠$POTUSVDU)VCʹެ։ͨ͠ w $%,ͰͷίϯςφΠϝʔδεΩϟϯํ๏ཱ͕֬͞Εͨʂ ʁ ‣ Α͔ͬͨΒͬͯΈ͍ͯͩ͘͞
ࢀߟɿαϯϓϧίʔυ (JU)VC w "84$%,Ͱ ‣ JNBHFTDBOOFSXJUIUSJWZ ‣ JNBHFTDBOOFSXJUIEPDLMF w ΛͬͨαϯϓϧίʔυΛ(JU)VCʹࡌ͍ͤͯΔͷͰΑ͔ͬͨΒͥͻ
IUUQTHJUIVCDPNHPUPLDELJNBHFTDBOUFTU
એɿࣗ࡞"84πʔϧ044 ʲEFMTUBDLʳ"84$MPVE'PSNBUJPOελοΫڧ੍আπʔϧ ‣ IUUQTHPUPLIBUFOBCMPHDPNFOUSZEFMTUBDL ʲDMTʳ4όέοτߴআɾۭʹ͢Δπʔϧ όʔδϣχϯάରԠ ‣ IUUQTHPUPLIBUFOBCMPHDPNFOUSZDMT ʲMBNWFSʳ-BNCEBϥϯλΠϜόʔδϣϯݕࡧπʔϧ
Ϧʔδϣϯԣஅ ‣ IUUQTHPUPLIBUFOBCMPHDPNFOUSZMBNWFS
એɿDMTεϖΠϯޠهࣄ "84&TQBÑPM w "84&TQBÑPMͷํ͕ʮDMT 4আπʔϧ ʯͷεϖΠϯޠهࣄΛॻ͍ͯ͘Ε ·ͨ͠ʂ ‣ ͜ΕͰຊޠɾӳޠɾεϖΠϯޠͷ͔ࠃޠͷهࣄ͕ग़དྷ·ͨ͠ʂ IUUQTEFWUPBXTFTQBOPMDMTCVTRVFEBZFMJNJOBDJPONBTJWBEFCVDLFUTTHC
એɿDMTͷొஃ͠·͢ʂ w 4UPSBHF+"84ͷه೦͖͢ୈճʹ͓ݺͼ͖ɺDMTͷηογϣϯΛͤ͞ ͯ͘͜ͱʹͳΓ·ͨ͠ʂ ‣ ਫ 4UPSBHF+"84
5IBOL:PV LHPUP าͷςοΫ