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
PHPerKaigi 2021
Search
Kataoka Katsuki
March 27, 2021
Technology
410
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
PHPerKaigi 2021
PHPerKaigi 2021 のアンカンファレンス会議の資料です。
Kataoka Katsuki
March 27, 2021
More Decks by Kataoka Katsuki
See All by Kataoka Katsuki
本当の統計学・確率入門
kataokatsuki
0
200
Other Decks in Technology
See All in Technology
DMMブックスのNext.js化を加速させるAI活用 / Migrating DMM Books to Next.js with AI
kentarom
0
170
IHV like なユースケースへのOpenID Connect 関連仕様の適用事例
optim
0
350
markdown-poster Introduction
kazamori
0
400
AI時代の「OAuth認証」にどう物申すか?(OAuth/OIDC Numa (Immersion) Workshop 2026)
oidfj
PRO
0
340
分割40%キーボードにスムーズに入門するには
hoto17296
1
180
All About Sansan – for New Global Engineers
sansan33
PRO
1
1.5k
「面白い!」を信じ抜け。激動の時代を貫く、オンリーワン・エンジニアの条件
kizawa2020
1
380
dbt in Microsoft Fabric
ryomaru0825
0
300
ブラウザで変わるID連携(OAuth/OIDC Numa (Immersion) Workshop 2026)
oidfj
PRO
0
350
サーバー常駐型の 簡易障害調査AI エージェントを作ってみた話
masayoshi
1
310
Claude Codeで開発以外の業務も爆速化しよう!
minorun365
PRO
10
9k
When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs
sansantech
PRO
0
130
Featured
See All Featured
Are puppies a ranking factor?
jonoalderson
2
3.8k
How to Ace a Technical Interview
jacobian
281
24k
Building Adaptive Systems
keathley
44
3.2k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.7k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
120
120k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.6k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.8k
How Software Deployment tools have changed in the past 20 years
geshan
1
34k
Un-Boring Meetings
codingconduct
0
400
The SEO Collaboration Effect
kristinabergwall1
1
530
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
670
Designing for Performance
lara
611
70k
Transcript
ʮφ͍ٕज़ʯΛ ɹڭ͑ͯΒ͏ձ ؤுͬͯަྲྀͯ͠ΈΑ͏ʂͷ৴೦Λ࣋ͬͯؤுΔ @kataokatsuki
ࠓΓ͍ͨ͜ͱ
ΧϯϑΝϨϯεʹͯ ʮަྲྀͰ͖ͨؾ͕͢Δʯ ͱخ͘͠ͳΔਓΛҰਓͰ૿͢ ࢲࠓճ͕ॳΊͯͷΧϯϑΝϨϯεࢀՃͰ͢ɻ ࣮εϥΠυॻ͖ͳ͕ΒʮͳΜ͔ͦΕͬΆ͍͜ͱͯ͠Δʯͱײಈͯ͠·͢
ܦҢ
3/26 ˏಥવͰ͖ͨΞϯΧϯϑΝϨϯε Αͬ͠Όɺͬͱؾܰʹ ΞϯΧϯϑΝϨϯεΖ͏ ͦͯ͠ɺʮए͍ਓͱަྲྀͰ͖Δͱ͍͍Ͷʯ Έ͍ͨͳײ͡ʹͳͬͨʢओ؍ʣ ؾܰʹΞϯΧϯϑΝϨϯε։͍ͯʂ ए͍ਓੵۃతʹʂ
͍͍ Θ͔Δ Δͥ ֦ࢄ͢Δͥ
ͨͩ
ަྲྀ ݁ߏڳ͕͍Δ
ΧϯϑΝϨϯεަྲྀ by ׳Ε͍ͯΔਓ ໘നͦ͏ʂ গͯ͠͠ΈΑ͏
ΧϯϑΝϨϯεަྲྀ by ׳Εͯͳ͍ਓʢࣗʣ ͋ͷʂΘͨ͘͠ʂ ͦΕʹ͍ͭͯɺ֬ݻͨΔ ҙݟ͕͋Γ·͢ʂʂ
Կ͕োʹͳ͍ͬͯΔͷ͔
ߟ͑ΒΕΔݪҼ • ͕Θ͔Βͳ͍ • ձʹࢀՃ͢Δ΄Ͳ͕ࣝͳ͍ͱͷࣗҙࣝ ɹ • ͏·ͤ͘ͳ͔ͬͨ࣌Ͳ͏͠Α͏ • ͲΜͳײ͡Ͱ͍͍͔ͤΘ͔Βͳ͍
• ҧ͍ͷ͜ͱΛͨ͠Βফ͞ΕΔͷͰʁ
ݪҼͷੳ • ͕Θ͔Βͳ͍ → ࠓճͷํతʹԿͰOK • ձʹࢀՃ͢Δ΄Ͳ͕ࣝͳ͍ͱͷࣗҙࣝ → ͦͷ࣌ɺདྷͳͦ͞͏ •
͏·ͤ͘ͳ͔ͬͨ࣌Ͳ͏͠Α͏ → ͬͯΈͯΑ͏͔͘Δ • ͲΜͳײ͡Ͱ͍͍͔ͤΘ͔Βͳ͍ → ͬͯΈͯΑ͏͔͘Δ • ҧ͍ͷ͜ͱΛͨ͠Βফ͞ΕΔͷͰʁ → ͓ͦΒ͘ফ͞Εͳ͍
݁ ʮͬͯΈͳ͍ͱ͔Βͳ͍ʯ͜ͱ ڐ͞ΕΔ͏ͪʹͬͯΈΑ͏
ߟ͑ΒΕΔݪҼ • ͕Θ͔Βͳ͍ • ձʹࢀՃ͢Δ΄Ͳ͕ࣝͳ͍ͱͷࣗҙࣝ ɹ • ͏·ͤ͘ͳ͔ͬͨ࣌Ͳ͏͠Α͏ • ͲΜͳײ͡Ͱ͍͍͔ͤΘ͔Βͳ͍
• ҧ͍ͷ͜ͱΛͨ͠Βফ͞ΕΔͷͰʁ → ղܾͦ͠͏
ߟ͑ΒΕΔݪҼ • ͕Θ͔Βͳ͍ • ձʹࢀՃ͢Δ΄Ͳ͕ࣝͳ͍ͱͷࣗҙࣝ ɹ • ͏·ͤ͘ͳ͔ͬͨ࣌Ͳ͏͠Α͏ • ͲΜͳײ͡Ͱ͍͍͔ͤΘ͔Βͳ͍
• ҧ͍ͷ͜ͱΛͨ͠Βফ͞ΕΔͷͰʁ →ɹɺɺɺͲ͏͠Α͏
ॳΊͯͷʮԿͰ͍͍ʯ Ͳ͏͢Δ͔ʁ
݁ ׳Εͯͳ͍ਓ͕ ༐ؾΛग़ͯ͠ఏҊͯ͠ΈΑ͏
ཧ༝ ͕ࣗͤΔ͜ͱΛ૬ख͕Ѳ͠ɺ ͍͍ײ͡ʹͬͯ͘ΕΔ ͦΜͳ͜ͱ΄΅ͳ͍
ʮԿͰ͍͍ʯʹରԠͰ͖Δਓ Կग़͖ͯͯͦΕͳΓʹԿͱ͔͢ΔͰ
ʮԿͰ͍͍ʯ͕গ͠ා͍ਓ ͦΜͳͤΔετοΫͳ͍Α
ͤΔ͜ͱͷแؚؔ ԿΛͨ͠Β͍͍ͷ͔ͳʁ ԿΛͨ͠Β͍͍ͷ͔ͳʁ
ͤΔ͜ͱͷแؚؔ ੨৭ͷ༰Λ ʮ׳Εͯͳ͍ਓʯ͕ग़ͯ͠ΈΑ͏
ຊ एऀʢʁʣ͕ ͍͔ͭ͘ݸਓతʹฉ͖͍ͨ͜ͱΛ ͖࣋ͬͯ·ͨ͠
ࠓφ͍ όοΫΤϯυ։ൃ ͱʁ 1)1 3VCZ 1ZUIPOͳͲʹର͠ ૣ͍ͱ͔ɺॻ͖͍͢ͱ͔ ൺֱͯ͠Έͯཉ͍͠ ࠓφ͍ ϑϩϯτΤϯυ։ൃ
ͱʁ 3FBDU 54ͳͲʹର͠ ૣ͍ͱ͔ɺॻ͖͍͢ͱ͔ ൺֱͯ͠Έͯཉ͍͠ ࠓφ͍ "1*ઃܭ ͱʁ 3&45͔Β࣌(SBQI2- ͱ͔ฉ͘ Ͳ͏͍͏෩ʹ͜ΕΛݟ͍ͯΔͷ͔ ίʔσΟϯάલʹ ʮઃܭΛ͔ͬ͠Γ͠Α͏ʯ Βͳ͍ͱͲ͏ͳΔͷʁ ʙΛ͔ͬ͠Γ͠Α͏ ͱྑ͘ฉ͕͘ɺͦΕΛकΒͳ͍ͱ ۩ମతʹͲ͏ͳΔͷ͔ʁ ʮ6*վળ͠Α͏ͥʯ ͱ͔ͰʹͳΔ ʮ6*ʯͱʁ 6*ɾ69վળͱ͔Λษڧͨ͠Γ͢Δ͕ ͳΜ͔;Θͬͱ͢Δɻ ͜͏ɺΧνοͱͨ͠Λฉ͍ͯΈ͍ͨ 41" ྲྀߦ͍ͬͯΔ͕ ͳͥʁ +2VFSZͰ%0.৮ͬͨΓ͢Δͷͱ͔ ࠔΔ͜ͱ͕ੜ͡Δͱࢥ͏ɻ ࣮ࡍͷͱ͜ΖͲͷ͘Β͍͍͜ͱʹͳΔͷʁ
ͲΕ͕͍͍Ͱ͠ΐ͏͔ʁ νϟοτͱ͔Ͱ൪߸ڭ͍͑ͯͩ͘͞ʂ ʢಛʹͳ͚Εࣗͷओ؍ͰܾΊ·͢ʣ
͜ͷΞϯΧϑΝϨϯεͰ ʮΧϯϑΝϨϯεʹࢀՃͰ͖ͨͥʯ ͱ͍͏ײ֮ΛखʹೖΕ·͠ΐ͏ʢʁʣ