Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Retty Tech Night #1 bokeneko
Search
bokeneko
September 01, 2017
Programming
900
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Retty Tech Night #1 bokeneko
https://retty.connpass.com/event/62462/
bokeneko
September 01, 2017
More Decks by bokeneko
See All by bokeneko
AWS ML@Loft #11 「BASE」類似商品APIの裏側
bokeneko
0
720
Terraformを用いた機械学習インフラの構築 / Developers Summit 2018 FUKUOKA A-8
bokeneko
0
610
TechPlay DeepLearningAllStars2017
bokeneko
0
1.6k
TFUG#3 RettyにおけるDeep Learningの自然言語処理への応用事例
bokeneko
18
16k
Other Decks in Programming
See All in Programming
GitHubハンズオン講座 — 実務レベルのチーム開発のフローを身につけよう
junhat6
0
110
Augmenting AI with the Power of Jakarta EE
ivargrimstad
0
390
AI時代のコードレビューは人に向けるな、仕組みに向けろ
texmeijin
5
3.3k
機械に任せるテスト、人が見るテスト ⽣成AIで引き直した、運⽤保守フェーズの線引き
dske104
0
140
AGENTS.md Is Not Enough:Build Skills, Don't Download Them
lx_t
0
130
iOSDC2026登壇資料.pdf
riofujimon
0
200
mrbgem 三角測量 開発
ogom
0
170
Everything will be SERVERLESS — 信じて運用した10年の経験値 / Everything Will be Serverless — Lessons Learned from 10 Years of Operational Experience
seike460
PRO
1
670
半永久的に提供し続けられるプライベートクラウドを目指して ― 利用者の認知負荷を抑えるAPI抽象化とハードウェア世代交代の基盤設計
tomokon
0
390
20260914 AIエージェント時代のPlatform Engineering LLM基盤とプロダクトの責務境界線
kanfab1
7
2.3k
FreeBSDでZabbixを動かす
kenkino
0
350
巨大モノリシックアプリ モダン化大作戦
ktcryomm
1
1.2k
Featured
See All Featured
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
470
[RailsConf 2023] Rails as a piece of cake
palkan
59
7k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
25k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.6k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
2.1k
Agile that works and the tools we love
rasmusluckow
331
22k
A Tale of Four Properties
chriscoyier
163
24k
The SEO identity crisis: Don't let AI make you average
varn
0
570
Into the Great Unknown - MozCon
thekraken
41
2.7k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1.3k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.7k
Transcript
3FUUZͷػցֶशͷ ͜Ε·Ͱ·ͱΊ ʙ%FFQ-FBSOJOHฤʙ
ࣗݾհ w ࢯݪ३ࢤ ͏͡Β͋ͭ͠ w 3FUUZΫϥϑτϏʔϧ୲ w ༀࡎࢣ w
ༀֶ෦Ͱ༗ػ߹ԽֶˠӃ ͰλϯύΫ࣭ͷཱମߏղੳ ˠཧٕݚʹϓϩάϥϚͱ͠ ͯೖࣾˠ3FUUZ
ػցֶशͷϞνϕʔγϣϯ w 3FUUZϕϯνϟʔͰਓগͳ͍ɻࢲ͕ೖࣾ࣌Ͱ ΤϯδχΞ໊ऑɻ w ࣸਅͷྨͳͲ࡞ۀܥTIVGUJͱ͔ͬͯΔɻ w ւ֎ల։͋Γɺεέʔϧ͍ͯ͘͠ʹػցԽ ͕ඞཁɻ
3FUUZͰࠓ·Ͱ͖ͬͯͨػցֶश ✦ ը૾ॲཧ w ߘࣸਅͷྨ w ղ૾ ✦ ࣗવݴޠॲཧ w
ޱίϛྨ w Ωϟονίϐʔࣗಈੜ w ϦίϝϯυΤϯδϯ ✦ ͦͷଞ w ࢄ%FFQ'PSFTU w FUDʜ
ࠓ͢͜ͱ ✦ ը૾ॲཧ w ߘࣸਅͷྨ w ղ૾ ✦ ࣗવݴޠॲཧ w
ޱίϛྨ w Ωϟονίϐʔࣗಈੜ w ϦίϝϯυΤϯδϯ ✦ ͦͷଞ w ࢄ%FFQ'PSFTU w FUDʜ
ߘࣸਅͷྨ w ݄ࠒɻ5FOTPS'MPX͕ग़͙ͯ͢ɻ w νϡʔτϦΞϧͷ$*'"3Λݟͯ3FUUZͷը૾ ྨʹ͑ΔΜ͡ΌͶʁͱࢥ͍ࢼͯ͠ΈΔ͜ͱ ʹɻ w ࣗͰͬͦ͜Γ࢝ΊͨεςϧεϓϩδΣΫτ
ߘࣸਅͷྨ $*'"3 छྨͷը૾ྨ
ߘࣸਅͷྨ 3FUUZͷը૾ྨ छྨΛछྨʹݮΒ͍͚ͤΔΜ͡ΌͶʁͱͳͬͨ
ߘࣸਅͷྨ w ྉཧ ϝχϡʔ͍ۙਫ਼ͰผՄೳ w ؍ ֎؍ͷผ͕͍͠ w ళͷத͔Β૭ͷ֎Λࡱͬͨ w
ೖΓޱͷࣸਅ͚ͩͲɺళͷೖΓޱ͕Ϗϧͷத
ߘࣸਅͷྨ w $50ʹݟͤͨΒϊϦϊϦ w શ෦ͤΔͷແཧ͚ͩͲɺ֬৴͕ߴ͍ͷ ʹ͍ͭͯͬͪΌ͓͏ɺͱͳͬͨ w ྉཧˠྉཧͬͯ͜ͱͰ࠾༻ w ྉཧ
؍ ˠਓؒͷνΣοΫ
ߘࣸਅͷྨ w ը૾ྨΛࣾͰ͏Α͏ʹͳͬͨΒɺ͜ΕͰ ͖ͳ͍ʁ͍ͬͯ߹Θͤ૿Ճɻࢲ͕ྨث ࡞Δ͜ͱʹʜΊΜͲ͍ʂ w ͦ͜Ͱ$47Ͱը૾63-͛ͨΒྨث͕࡞ΕΔ αʔϏεΛ࡞ͬͨɻ ˠ*$"$)"/
ߘࣸਅͷྨ
ղ૾ w XBJGVYͱ͔͍͏%FFQ-FBSOJOHΛ༻͍ͨΠϥ ετͷղ૾͕ग़Δ w $B⒎FͰॻ͍ͯ͋ͬͯಡΈʹ͘ʜΜʁͬͯΔ͜ ͱׂͱ୯७͡ΌͶʁ w 5FOTPS'MPXͰॻ͘ɻ͍ͭͰʹ*$"$)"/Έͨ ͍ʹ୭Ͱ͑ΔΑ͏ʹ͢Δɻ
ˠ.*$"/$/
ղ૾
ղ૾
ޱίϛྨ w ͜͜·Ͱͷը૾ͷॲཧ$// $POWPMVUJPOBM OFVSBMOFUXPSL ΈࠐΈχϡʔϥϧωοτϫʔ ΫʣΛ͖ͬͯͬͯͨɻ w $//ŨżŘˠࣗવݴޠॲཧ$//͓͏ͥɺͱ͍ ͏ྲྀΕ͕͋ͨΓ͔Βग़ͯͨ
ޱίϛྨ w χϡʔεهࣄͷྨʹ$//͏จ͕ग़Δ w 3FUUZͷޱίϛͷྨͬͯΈ͔ͬ
ޱίϛྨ w $IBSBDUFSMFWFM$// w ͔ͪॻ͖ෆཁ w Ұจࣈ୯ҐͰѻ͏ʢ$//͕ը૾ΛQJYFM͝ ͱʹѻ͏ͷΛࣗવݴޠॲཧʹ͖࣋ͬͯͨʣ
ޱίϛྨ
ޱίϛྨ 3FUUZͰ͓ళ͕ͲͷΑ͏ͳతͰར༻Ͱ͖Δ͔ͱ͍͏ σʔλ͕͋Δɻ σʔτతͰ͑ΔళͷޱίϛΛσʔτతళޱίϛͷ ڭࢣͱͯ͠ར༻ɻޱίϛ͕σʔτతళͷޱίϛ͔൱͔ ΛผͰ͖ΔྨثΛ࡞ σʔτతళޱίϛͱஅ͞ΕΔޱίϛ͕ଟ͍ళσʔ τʹ͑ΔళͳͷͰ ৽͍͠σʔτతళͷൃݟʹ͑Δʁ
ޱίϛྨ ʮଂখࢁͷম͖ௗϫΠϯͷ͓ళɻ͜͜શൠඒ ຯ͔ͬͨʂஈܾͯ҆͘͠ແ͍Ͱ͕͢ɺϫΠ ϯશͯ#JPϫΠϯͱͷࣄɻম͖ௗ͓·͔ͤίʔ ε͕͓קΊͱͷࣄͰͨ͠ͷͰɺͦͪΒͰɻళһ͞ Μͷ٬࠷ߴͰੋඇߦͬͯΈͯԼ͍͞ɻʯ σʔτతళޱίϛ
ޱίϛྨ ʮӺ݁⽏ͱ͍͏ཱͷྑ͔͞Βબͼ·ͨ͠✨ ম͖ௗɺਫਬ͖ͳͲͳͲཔΈ·͕ͨ͠ɺௗ͕ ΔΔͰඒຯ͔ͬͨ͠Ͱ͢Α⽏ࣄऴΘΓͷํ ͕ͨͪαΫοͱҰഋʜͱ͍͏ΠϝʔδͰ͔͢Ͷɻ ͰஈϦʔζφϒϧͰͳ͔ͳ͔ྑ͔ͬͨͰ͢ 㽈ʯ σʔτతళޱίϛ
Ωϟονίϐʔࣗಈੜ w ࣗવݴޠ͔Βಛநग़͕Մೳʹͳͬͨ w ը૾Ͱྨˠղ૾ͬͨΈ͍ͨʹɺࣗવݴޠ Ͱྨ͕Ͱ͖͔ͨΒੜͬͯΈΔ͔ w ޱίϛ͔Βಛநग़͓ͯ͠ళͷΩϟονίϐʔੜ Ͱ͖Μ͔ͳʁ
Ωϟονίϐʔࣗಈੜ DIBS $// ޱίϛ ɹ -45. ಛϕΫτϧ Ωϟο νίϐʔ
Ωϟονίϐʔࣗಈੜ w ͏·͍ͬͨ͘ྫ ʮᰤࢠ͕ඒຯ͍͠ɺ ݩͰਓؾͷத՚ྉཧళʯ ˠ ͔֬ʹ501ʹᰤࢠग़ͯΔ͠ ͍͍ײ͡
Ωϟονίϐʔࣗಈੜ w ͓͔͍͠ྫ w ʮ໊ݹӺ͔Βెาɺඒຯ͍͠ম͖ௗ͕৯ ΒΕΔ͓ళʯˠʑͷళͧ w ʮϘϦϡʔϜຬͷϥϯν͕ਓؾɺඒຯ͍͠ ͓͕৯ΒΕΔ͓ళʯˠυτʔϧΜ͚
Ωϟονίϐʔࣗಈੜ w ຊޠʹͳΔ͚Ͳɺ·࣮ͩ༻Խͪΐͬͱʜ w $POEJUJPOBM("/ͷख๏ΛऔΓೖΕͨΒ͏ ͪΐͬͱ៉ྷʹͳΔ͔
·ͱΊ w εέʔϧ͍ͯͨ͘͠Ίʹػցֶश͕ඞཁ w %FFQ-FBSOJOHखܰʹ࣮༻Ϩϕϧʹ͍ۙͱ͜ Ζ·Ͱੑೳ͕ग़ͤΔ w ͱ͍͑ɺ·ͩ·ͩվળ͋Δ
'VUVSF8PSL w ࢄػցֶशڥͷ࡞ w ࢄ%FFQ'PSFTU w ϓϩμΫτͷө