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
「属人化」とは何か? 整理してみよう /20180228-person-dependancy
Search
opelab
March 01, 2018
Technology
20
11k
「属人化」とは何か? 整理してみよう /20180228-person-dependancy
ssmjp 201802での発表資料です。
(運用設計ラボ合同会社 波田野裕一)
opelab
March 01, 2018
Tweet
Share
More Decks by opelab
See All by opelab
25分で解説する「最小権限の原則」を実現するための AWS「ポリシー」大全 / 20250625-aws-summit-aws-policy
opelab
15
2.7k
スモールスタート、不都合な真実 〜 耳当たりの良い言葉に現場が振り回されないために/20240930-ssmjp-small-start
opelab
14
2.6k
20分で分かるIAM全機能 (拡大版) / 20240903-jawsug-yokohama-iam
opelab
3
490
AWS IAM Identity Center議論会 〜 認証認可結合モデルと認証認可分離モデル / 20240827-jawsug-arch-iam_identity_center
opelab
5
740
運用エンジニアのための AWSドキュメントの歩き方・まとめ方 / 20240822-jawsug-tokyo-aws-documents
opelab
7
2.6k
AWS CloudShell全機能 〜 CLI活用のススメ / 20240821-nri-aws-cloudshell
opelab
3
870
AWSで”最小権限の原則”を実現するための考え方 /20240722-ssmjp-aws-least-privilege
opelab
11
6.3k
運用改善、不都合な真実 / 20240722-ssmjp-kaizen
opelab
33
19k
20分で分かるIAM全機能 /20240621-aws-summit-iam
opelab
44
16k
Other Decks in Technology
See All in Technology
Windows ネットワークを再確認する
murachiakira
PRO
0
230
サンタコンペ2025完全攻略 ~お前らの焼きなましは遅すぎる~
terryu16
1
570
【PyCon mini Shizuoka 2026】生成AI時代に画像処理やオーディオ処理のノードエディターを作る理由
kazuhitotakahashi
0
260
Data Hubグループ 紹介資料
sansan33
PRO
0
2.8k
クラウド時代における一時権限取得
krrrr38
1
150
AIエンジニア Devin と歩む、自律型運用プロセスの構築
a2ito
0
600
問い合わせ自動化の技術的挑戦
recruitengineers
PRO
2
120
Security Diaries of an Open Source IAM
ahus1
0
190
JAWS DAYS 2026 CDP道場 事前説明会 / JAWS DAYS 2026 CDP Dojo briefing document
naospon
0
110
2026-02-25 Tokyo dbt meetup プロダクトと融合したCI/CD で実現する、堅牢なデータパイプラインの作り方
y_ken
0
160
OSSで構築するIT基盤管理実践事例: NetBox・Snipe-IT・FreeRADIUS+PrivacyIDEA / Practical Case Studies of IT Infrastructure Management Using OSS
nttcom
0
150
AI Agentにおける評価指標とAgent GPA
tsho
1
270
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
290
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.1k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Facilitating Awesome Meetings
lara
57
6.8k
Deep Space Network (abreviated)
tonyrice
0
85
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.1k
Google's AI Overviews - The New Search
badams
0
930
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
122
21k
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
1.9k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
200
GraphQLとの向き合い方2022年版
quramy
50
14k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
1
140
Transcript
Operation Lab ӡ༻ઃܭϥϘ 1 ӡ༻ઃܭϥϘ߹ಉձࣾ γχΞΞʔΩςΫτా༟Ұ ʮଐਓԽʯͱԿ͔ ཧͯ͠ΈΑ͏ ʙʮ͋͑ͯ͢Δʯͷͳͷ
ʮഉআͪ͠ΌͩΊʯͳͷ
͓͜ͱΘΓ େࣄͳ͜ͱ Operation Lab ӡ༻ઃܭϥϘ • ಛఆͷݸਓൃදΛ൷͍ͯ͠ΔͭΓ͋Γ·ͤΜɻ • ཧ͍ͯ͠Δ͚ͩͰ͢ɻ •
͜ͷൃදɺҎԼͷਓ͚Ͱ͢ɺ • ۀͷଐਓԽʹ·͞Ε͍ͯΔਓ • ͜Ε͔ΒʮଐਓԽͷ࣌ʯͩͱߟ͑͡Ί͍ͯΔਓ • ΓʮଐਓԽ͍͔Μʯͱߟ͍͑ͯΔਓ
Operation Lab ӡ༻ઃܭϥϘ 3 ࠓͷʮଐਓԽʯ ʮଐਓԽΛഉআ͢ΔͷΑ͘ͳ͍ʯ ʮ͋͑ͯଐਓԽͤΑʯ ʮ͋Ε͜ΕଐਓԽͪ͠ΌͩΊʯ
Operation Lab ӡ༻ઃܭϥϘ 4 ʮଐਓԽ͕μϝʯ ͩͱ͞ΕΔཧ༝ɺ ͪΌΜͱཧͯ͠ΈΑ͏
Operation Lab ӡ༻ઃܭϥϘ ΞδΣϯμ 5 ʮଐਓԽʯͱԿ͔ ʮଐਓԽʯѱɺͳͷ
ʮଐਓԽʯͷಛΛΖ͏ ʮଐਓԽʯͱͲ͏͖߹͏͖͔ ·ͱΊ ͓·͚͋ΔΑ ࣌ؒΓͳ͍͔
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓԽʯͱԿ͔ 6
ʮଐਓԽʯͱԿ͔ ͦͷਓʹଐ͢Δ͜ͱ Operation Lab ӡ༻ઃܭϥϘ 7 ʮଐਓʯ ͧ͘͡Μ খֶؗਫ਼બ൛ຊࠃޠେࣙయ ʮଐਓओٛʯʮଐਓ๏ʯͳͲͷ๏༻ޠʹؚ·Ε
ྑ͍ͱ͔ѱ͍ͱ͍͏ҙຯബ͍ݴ༿ ରޠʮଐʯ ͧͪ͘
ʮଐਓԽʯͱԿ͔ ͦͷਓʹଐ͢Δ͜ͱ Operation Lab ӡ༻ઃܭϥϘ 8 ʮଐਓʯ ͧ͘͡Μ ʮଐਓԽʯͱ Ұൠతʹ
ۀͳͲ͕ಛఆͷݸਓʹଐ͢Δ͜ͱ খֶؗਫ਼બ൛ຊࠃޠେࣙయ ͦͷมԽΛؚΉ
ʮଐਓԽʯͱ Operation Lab ӡ༻ઃܭϥϘ 9 ۀͳͲ͕ಛఆͷݸਓʹଐ͢Δ͜ͱ ͋Δۀ͕ɺ ৫νʔϜʹରͯ͠Ͱͳ͘ ಛఆͷݸਓͱڧ͍݁ͼ͖Λ͍࣋ͬͯΔঢ়ଶ
ͭ·Γ Λݴ͏ ͦͷมԽΛؚΉ
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓԽʯѱɺͳͷ 10
ʮଐਓԽʯѱͳͷ͔ɺળͳͷ͔ Operation Lab ӡ༻ઃܭϥϘ 11 ·͍͠ͷ͔ɺ·͘͠ͳ͍ͷ͔ ʹґͬͯҰҙʹܾ·Δ ͕ ͋Δۀ͕ɺ ৫νʔϜʹରͯ͠Ͱͳ͘
ಛఆͷݸਓͱڧ͍݁ͼ͖Λ͍࣋ͬͯΔঢ়ଶ
ળ͍ʮଐਓԽʯ Operation Lab ӡ༻ઃܭϥϘ 12 ͕ɺ·͍͠߹ ͋Δۀ͕ɺ ৫νʔϜʹରͯ͠Ͱͳ͘ ಛఆͷݸਓͱڧ͍݁ͼ͖Λ͍࣋ͬͯΔঢ়ଶ
ͦͷଐਓԽળ
ѱ͍ʮଐਓԽʯ Operation Lab ӡ༻ઃܭϥϘ 13 ͦͷଐਓԽѱ ͕ɺ·͘͠ͳ͍߹ ͋Δۀ͕ɺ ৫νʔϜʹରͯ͠Ͱͳ͘
ಛఆͷݸਓͱڧ͍݁ͼ͖Λ͍࣋ͬͯΔঢ়ଶ
͋ͨΓલա͗ΔͰ͕͢ Operation Lab ӡ༻ઃܭϥϘ 14 ͦͷଐਓԽѱ ͦͷଐਓԽળ ʮଐਓԽʯͷળ͠ѱ͠ɺ ίϯςΩετͰܾ·Δ ·ΕͨଐਓԽ
·Ε͵ଐਓԽ
·ΕͨଐਓԽͱ Operation Lab ӡ༻ઃܭϥϘ 15 ͦͷଐਓԽળ ·ΕͨଐਓԽ ʮઐੑʯʮݸੑʯ ͕ظ͞ΕΔྖҬͷଐਓԽ
·Ε͵ଐਓԽͱ Operation Lab ӡ༻ઃܭϥϘ 16 ͦͷଐਓԽѱ ·Ε͵ଐਓԽ ʮઐੑʯʮݸੑʯΑΓ ڧ͍ظ͕ผʹ͋ΔྖҬͰͷଐਓԽ
ੲॻ͍ͨهࣄͰ͕͢ɺɺ ݄ ӡ༻ݱͷʮଐਓԽʯʹɺ࣍ͷͭͷҙຯ͕͋Γ·͢ɻ ʢʣఆৗӡ༻ͷΑ͏ͳʮϒϥοΫɾϘοΫεԽ͕ڐ͞Εͳ͍ʯྖҬͱɺ ʢʣඇఆৗӡ༻ӡ༻ઃܭͳͲͷΑ͏ʹɺ୲ऀͷʮϊϋݸੑʯ ͕ظ͞ΕΔྖҬɺͰ͢ɻ ӡ༻ݱʹ͓͍ͯେ͖ͳʹͳΔͷલऀͰ͢ɻࣄۀܧଓੑϦεΫΛੜ Έग़͢͜ͱʹͭͳ͕Γ·͢ɻ Operation Lab
ӡ༻ઃܭϥϘ 17 5IJOL*5ݱࢹ͔Βͷӡ༻ํ๏ࣗͨͪͷʮӡ༻ʯΛΔӡ༻ઃܭͷຊ࣭ IUUQTUIJOLJUDPKQTUPSZ QBHF$
·ͱΊʮଐਓԽʯͷળѱԿͰܾ·Δ Operation Lab ӡ༻ઃܭϥϘ 18 ·ΕͨଐਓԽ ʮઐੑʯʮݸੑʯ͕ظ͞ΕΔྖҬ ·Ε͵ଐਓԽ ʮઐੑʯʮݸੑʯΑΓڧ͍ظ͕ผʹ͋ΔྖҬ ͦͷଐਓԽѱ
ͦͷଐਓԽળ ࣄۀܧଓੑͳͲ
Operation Lab ӡ༻ઃܭϥϘ 19 ʮଐਓԽ͕μϝʯ ͩͱ͞ΕΔཧ༝ͱର ·Ε͵ଐਓԽ͔ͩΒ ʮઐੑʯʮݸੑʯΑΓڧ͍ظ͕ผʹ͋ΔྖҬ ࣄۀܧଓੑͳͲ ཧ༝
ର
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓԽʯͷಛΛΖ͏ 20
ଐਓԽͷಛ ϓϥε໘ • ઐੑݸੑ͕׆͖Δ ظ͕໌֬Ͱ͋ΕՌग़͍͢ • ্ཱ͕ͪΓ͕ૣ͍ ൺֱతظͰՌ͕ग़͍͢
• ඇ࠶ݱతͳࣄʹ࠷ద શ͘৽͍͠ࣄΛͤΒΕΔ Operation Lab ӡ༻ઃܭϥϘ 21 ଐਓԽʮݸਓʹࣄ͕ଐ͢ΔʯͷͰҎԼͷಛ͕͋Δ
ଐਓԽͷಛ ϚΠφε໘ • ہॴత ൣғ͕ڱ͍ɻൣғతͳεέʔϥϏϦςΟ͕͍ Operation Lab ӡ༻ઃܭϥϘ 22 ଐਓԽʮݸਓʹࣄ͕ଐ͢ΔʯͷͰҎԼͷಛ͕͋Δ
• شൃత ͦͷݸਓͷҟಈୀ৬ʹΑΓଟ͘ͷͷΛࣦ͢Δ • ඇ࠶ݱత Ռ͕୯ൃతͰ࠶ݱ͕͍͠ɻͰࣦഊ܁Γฦ͢ • ಉ༷ͷਓࡐΛҭ͢Δ͜ͱ͕͍͠ɻ • ඇ෮త ෮ੑ͕͍ɻճతͳεέʔϥϏϦςΟ͕͍
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓతʯشൃత 23 ʮͦͷݸਓͷҟಈୀ৬ʹΑΓ ଟ͘ͷͷΛࣦ͢Δʯ ʮंྠͷ࠶։ൃʯͷ߃ৗԽ ʮલʹਐΉײθϩʯ
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓతʯشൃత 24 ʮՌ࠶ݱ͠ͳ͍͚Ͳ ࣦഊ࠶ൃ͢Δʯ ݟͷܧঝ͕͞Εͳ͍ ʮલʹਐΉײθϩʯ
·ͱΊଐਓԽͷಛ • ઐੑݸੑ͕׆͖Δ • ্ཱ͕ͪΓ͕ૣ͍ • ඇ࠶ݱతͳࣄʹ࠷ద Operation Lab ӡ༻ઃܭϥϘ
25 • ہॴత ൣғڱ • ඇ෮త গճ • ඇ࠶ݱత ୯ൃతɾҭ • شൃత ϚΠφε໘ ϓϥε໘ ଐਓԽʮݸਓʹࣄ͕ଐ͢ΔʯͷͰҎԼͷಛ͕͋Δ
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓԽʯͱͲ͏͖߹͏͖͔ 26
ྖҬଐਓԽ͖͢ྖҬ Operation Lab ӡ༻ઃܭϥϘ 27 ʮෆ֬ఆཁૉ͕ଟ͍ෆ҆ఆͳྖҬʯɺଐਓԽ͖͢ ଐਓԽͷϓϥε໘ ઐੑݸੑͰܗʹ͢Δ ༗ܗԽ •
ઐੑݸੑ͕׆͖Δ • ্ཱ͕ͪΓ͕ૣ͍ • ඇ࠶ݱతͳࣄʹ࠷ద ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ߩݙ
ྖҬଐਓԽܧଓʹΑΔෆ҆ఆྖҬ Operation Lab ӡ༻ઃܭϥϘ 28 ଐਓԽͨ͠··ͳͷͰʮଐਓԽͷϚΠφε໘ʯ͕ݦࡏԽ • ہॴత ൣғڱ
• ඇ෮త গճ • ඇ࠶ݱత ୯ൃతɾҭ • شൃత ଐਓԽͷϚΠφε໘ ॊΒ͔͍ঢ়ଶͷ·· ݦࡏԽ ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ઐੑݸੑͰܗʹ͢Δ
ྖҬඇଐਓԽʹΑΔ҆ఆྖҬ Operation Lab ӡ༻ઃܭϥϘ 29 ʮଐਓԽͷϚΠφε໘ʯݦࡏԽલʹඇଐਓԽ͕ඞཁ • ඇہॴత ൣғ
• ෮త ଟճ • ࠶ݱత ܧଓతɾҭқ • ඇشൃత ඇଐਓԽʹΑΔస ࣄۀܧଓՄೳʹ͢Δ ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ ඇଐਓʹΑΔ ෮ੑ ٬؍ԽɺݟԽ ඇଐਓʹΑΔ ࠶ݱੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ࣮ݱ ઐੑݸੑͰܗʹ͢Δ
·ͱΊʮଐਓԽʯͱͲ͏͖߹͏͖͔ Operation Lab ӡ༻ઃܭϥϘ 30 ۀͷہ໘ʹԠͯ͡ʮଐਓʯʮඇଐਓʯΛ͍͚Δ ࣄۀܧଓՄೳʹ͢Δ ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ
ඇଐਓʹΑΔ ෮ੑ ٬؍ԽɺݟԽ ඇଐਓʹΑΔ ࠶ݱੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ઐੑݸੑͰܗʹ͢Δ ඇଐਓԽ͕ળ ܧଓੑɺ࠶ݱੑ͕Ձ ඇشൃੑ͕ॏཁ ଐਓԽ͕ળ ઌਐੑɺॊೈੑ͕Ձ شൃੑ͕க໋తͳऑ
Operation Lab ӡ༻ઃܭϥϘ ·ͱΊ 31
·ͱΊʮଐਓԽʯͱ Operation Lab ӡ༻ઃܭϥϘ 32 ۀͳͲ͕ಛఆͷݸਓʹଐ͢Δ͜ͱ ͋Δۀ͕ɺ ৫νʔϜʹରͯ͠Ͱͳ͘ ಛఆͷݸਓͱڧ͍݁ͼ͖Λ͍࣋ͬͯΔঢ়ଶ
ͭ·Γ Λݴ͏ ͦͷมԽΛؚΉ
·ͱΊଐਓԽͷಛ • ઐੑݸੑ͕׆͖Δ • ্ཱ͕ͪΓ͕ૣ͍ • ඇ࠶ݱతͳࣄʹ࠷ద Operation Lab ӡ༻ઃܭϥϘ
33 • ہॴత ൣғڱ • ඇ෮త গճ • ඇ࠶ݱత ୯ൃతɾҭ • شൃత ϚΠφε໘ ϓϥε໘ ଐਓԽʮݸਓʹࣄ͕ଐ͢ΔʯͷͰҎԼͷಛ͕͋Δ
·ͱΊʮଐਓԽʯͱͲ͏͖߹͏͖͔ Operation Lab ӡ༻ઃܭϥϘ 34 ۀͷہ໘ʹԠͯ͡ʮଐਓʯʮඇଐਓʯΛ͍͚Δ ࣄۀܧଓՄೳʹ͢Δ ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ
ඇଐਓʹΑΔ ෮ੑ ٬؍ԽɺݟԽ ඇଐਓʹΑΔ ࠶ݱੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ઐੑݸੑͰܗʹ͢Δ ଐਓԽ͕ળ ඇଐਓԽ͕ળ ઌਐੑɺॊೈੑ͕Ձ ܧଓੑɺ࠶ݱੑ͕Ձ ඇشൃੑ͕ॏཁ شൃੑ͕க໋తͳऑ
Operation Lab ӡ༻ઃܭϥϘ ͓·͚͞ΒʹʮඇଐਓԽʯΛಥ͖٧ΊΔ 35
Operation Lab ӡ༻ઃܭϥϘ ਓྨͷӳʹ͓͚Δଐਓɺඇଐਓ 36 จݙڭҭʹΑΓ ҆ఆͨ͠తྖҬ ݚڀྖҬ ෆ҆ఆͳతྖҬ 99.9%
0.1% ͷࠜڌͳ͠ൃදऀͷओ؍ ୭ͰΘ͔Δࣝ ਓ͚ͩΘ͔Δࣝ େଟͷਓ҆ఆͨ͠తྖҬ ͷ্Ͱੜ͖͍ͯΔ ଐਓ ඇଐਓ
Operation Lab ӡ༻ઃܭϥϘ Έͳ͞Μͷٕज़ೳྗͷݯઘ ଐਓ༝དྷɺඇଐਓ༝དྷ 37 จݙڭҭʹΑΓ ಘͨ҆ఆͨ͠ݟ ܦݧͰಘͨݟ
73.3% 26.7% ෆ҆ఆͳݟྖҬ ͷࠜڌͳ͠ൃදऀͷओ؍ ֶशྗ༝དྷͷೳྗ ༝དྷͷೳྗ ͚ͩͷΤϯδχΞ ݪཧݪଇʹऑ͘͠ͳ͍ ֶश͚ͩͷΤϯδχΞ ݱ࣮ʹదԠͰ͖ͳ͍ ඇଐਓ ଐਓ
Operation Lab ӡ༻ઃܭϥϘ 38 ਓྨͷ ඇଐਓԽྗ ͷՌͷ্Ͱੜ͖͍ͯΔ ΈΜͳ
Operation Lab ӡ༻ઃܭϥϘ ձࣾͷࣄۀೳྗͷݯઘ ཧ૾ 39 ඇଐਓԽྖҬ ࣄۀܧଓੑ͕ߴ͍ ଐਓԽྖҬ
70.0% 30.0% ෆ҆ఆͳۀྖҬ ઐੑݸੑͰܗʹ͢Δ ࣄۀܧଓՄೳʹ͢Δ ඇଐਓԽྖҬ͚ͩͩͱ ਐԽɾมԽ͠ͳ͍ ଐਓԽྖҬ͚ͩͩͱ εέʔϧɾ҆ఆ͠ͳ͍ ଐਓ ඇଐਓ
Operation Lab ӡ༻ઃܭϥϘ ͔͜͜ΒຊԻϕʔε 40 ࢹௌҙ
Operation Lab ӡ༻ઃܭϥϘ ओுʮΤϯδχΞϦϯάʯͱඇଐਓԽ 41
Operation Lab ӡ༻ઃܭϥϘ 42 ਓྨͷ ʮඇଐਓԽʯྗ ͦͷͷ ΤϯδχΞϦϯάͦ͜
ΤϯδχΞϦϯάʮඇଐਓԽʯͷӦΈ ৬ਓ ϚΠελʔ ͕͍ͬͯͨଐਓతͳࣄΛ ҆ఆతɾܧଓతʹߦ͑ΔΑ͏ʹ͢ΔͨΊͷݚڀ Operation Lab ӡ༻ઃܭϥϘ 43 ΤϯδχΞϦϯά
৬ਓࣄ ࡾަ੍ ࣄ ଟೳ ΦϯσϚϯυ ࣄ ඇଐਓԽϨϕϧ த ඇଐਓԽϨϕϧ ߴ ඇଐਓԽ օແ ੜ࢈ϥΠϯϨϕϧ ఔϨϕϧ ݸʑਓ͕ಠࣗ
Operation Lab ӡ༻ઃܭϥϘ 44 ࠓͷʮଐਓԽʯ ʮଐਓԽΛഉআ͢ΔͷΑ͘ͳ͍ʯ ʮ͋͑ͯଐਓԽͤΑʯ ʮΤϯδχΞϦϯάʯՁͲ͜
ʮΤϯδχΞϦϯάʯՁͷదͳద༻͕େࣄ Operation Lab ӡ༻ઃܭϥϘ 45 ۀͷہ໘ʹԠͯ͡ʮଐਓʯʮඇଐਓʯͷ྆ྖҬ͕ඞཁ ࣄۀܧଓՄೳʹ͢Δ ෆ֬ఆཁૉɾෆ҆ఆཁૉ ઌਐੑ কདྷੑ
ඇଐਓʹΑΔ ෮ੑ ٬؍ԽɺݟԽ ඇଐਓʹΑΔ ࠶ݱੑ ଐਓʹΑΔ ਝੑ ଐਓʹΑΔ ॊೈੑ ઐੑݸੑͰܗʹ͢Δ ଐਓԽ͕ળ ຊͷҙຯͰͷ ΤϯδχΞϦϯά ͕ඞཁͳྖҬ
Operation Lab ӡ༻ઃܭϥϘ 46 ίʔυ࣮͚͕ͩ ʮΤϯδχΞϦϯάʯ͡Όͳ͍ ʮඇଐਓԽʯ େࣄͳΤϯδχΞϦϯά
Operation Lab ӡ༻ઃܭϥϘ ओுʮଐਓԽʯ͚ͩΛਪ͠ਐΊΔͳ 47
Operation Lab ӡ༻ઃܭϥϘ ʮଐਓతʯشൃత 48 ʮඇଐਓԽʹΑΔϝϦοτΛࣺͯͯ ͍·ͤΜ͔ ʯ ʮ݁Ռͱ͚ͯͬͭ͠ࣄͷ࿈ଓʹ ͳ͍ͬͯ·ͤΜ͔
ʯ
Operation Lab ӡ༻ઃܭϥϘ 49 ʮҟಈɾୀ৬ʹΑΔࣦ·Ͱߟ͑ͯ·͔͢ ʯ ʮܧঝͷࣦʹΑΔंྠͷ࠶։ൃΛ ܁Γฦ͍ͯ͠ͳ͍Ͱ͔͢ ʯ ʮଐਓతʯشൃత
Operation Lab ӡ༻ઃܭϥϘ 50 ʮࣄۀܧଓੑ·Ͱߟ͑ͯ·͔͢ ʯ ʮ͋͑ͯଐਓԽʯͰपғΛ ࢥߟఀࢭʹ͍ࠐΜͰ͍·ͤΜ͔ ʮଐਓతʯشൃత
Operation Lab ӡ༻ઃܭϥϘ 5PCFDPOUJOVF 51
ʮଐਓԽʯΛܧଓతʹཧ͍ͯ͜͠͏ • ઐੑʹଐਓతɾඇଐਓతͷ۠͋Γͦ͏ • ԡ͚͠ʹΑΔଐਓɺࣗओతͳଐਓͷҧ͍ • ଐਓతͳۀʹ͘ਓɺ͔ͳ͍ਓͷҧ͍ Operation Lab
ӡ༻ઃܭϥϘ 52 ·ͩ·ͩɺཧ͖͢͜ͱ͋Γͦ͏Ͱ͢ɻ
Operation Lab ӡ༻ઃܭϥϘ ࠷ޙʹ 53
Operation Lab ӡ༻ઃܭϥϘ 54 ਓྨͷ ʮඇଐਓԽʯྗ ͷՌͷ্Ͱੜ͖͍ͯΔ ΈΜͳ ͜ͱΛΕͣʹ
Operation Lab ӡ༻ઃܭϥϘ 55 IUUQXXXPQFSBUJPOMBCDPKQ OperationLab ӡ༻ઃܭ