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
Spring LT in Aizu
Search
Yamashou
May 26, 2018
Technology
0
82
Spring LT in Aizu
Yamashou
May 26, 2018
Tweet
Share
More Decks by Yamashou
See All by Yamashou
Go Tensorflow 思ってたこと
yamashou
0
200
学生版GoConを開催したい
yamashou
0
2.4k
会津でGo
yamashou
0
2.7k
Aizu.go second
yamashou
0
380
Go ELM
yamashou
0
140
open app lab kick off meeting 2017
yamashou
0
140
manifes2017
yamashou
1
80
Aizu.go
yamashou
0
72
Other Decks in Technology
See All in Technology
AWS re:Invent2025最新動向まとめ(NRIグループre:Cap 2025)
gamogamo
0
140
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
AWS Lambda durable functions を使って AWS Lambda の15分の壁を超えてみよう
matsuzawatakeshi
0
120
AgentCoreとStrandsで社内d払いナレッジボットを作った話
motojimayu
1
1.2k
まだ間に合う! Agentic AI on AWSの現在地をやさしく一挙おさらい
minorun365
19
3.4k
AWSインフルエンサーへの道 / load of AWS Influencer
whisaiyo
0
240
ルネサンス開発者を育てる 1on1支援AIエージェント
yusukeshimizu
0
130
普段使ってるClaude Skillsの紹介(by Notebooklm)
zerebom
8
2.6k
フィッシュボウルのやり方 / How to do a fishbowl
pauli
2
430
2025年の医用画像AI/AI×medical_imaging_in_2025_generated_by_AI
tdys13
0
260
Next.js 16の新機能 Cache Components について
sutetotanuki
0
210
スクラムマスターが スクラムチームに入って取り組む5つのこと - スクラムガイドには書いてないけど入った当初から取り組んでおきたい大切なこと -
scrummasudar
0
310
Featured
See All Featured
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
69
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
140
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
More Than Pixels: Becoming A User Experience Designer
marktimemedia
2
270
Odyssey Design
rkendrick25
PRO
0
450
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Writing Fast Ruby
sferik
630
62k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
180
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.8k
Chasing Engaging Ingredients in Design
codingconduct
0
92
Why Our Code Smells
bkeepers
PRO
340
58k
Transcript
ֶੜ͕ܦݧΛ׆͔͢ํ๏ s1230124 Yamashou
ࣗݾհ ࢁຊଠ s1230124 Yamashou ֶ෦4 σβΠχϜ ࠷ۙɿGoɺPython
ֶੜͷΈͳ͞Μ
ΠϯλʔϯɾΞϧόΠ
ܦݧͨ͜͠ͱ
׆͔ͤͯ·͔͢ʁ
Α͘ฉ͘ ΊͪΌͪ͘Ό͍͍ܦݧ ָ͍͠ܦݧɾମݧ ͍͍Ռ͕ग़·ͨ͠
Α͘ฉ͘ ΊͪΌͪ͘Ό͍͍ܦݧ Ͱɺ͏Γͨ͘ͳ͍ ָ͍͠ܦݧɾମݧ ͰɺΓ͔ͨͬͨ͜ͱͱҧ͏ ͍͍Ռ͕ग़·ͨ͠ Ͱɺઈର͋ΕࣾͰ͏͏ٗͩΑͶ
จ͕۟ଟ͍
࣮ࡍΑ͋͘Δ
ͰɺͦΕͰ͍͍Μ͔͢ʁ
ͲΜͳͷͰ ࣗʹؔ͋Δʂ
Ͳ͏Δͷ͔ 1. ߟ͑ํΛม͑Δ 2. ڵຯɾඞཁ͕͋Δ͜ͷʹ͚ͭ͜͡Δ 3. ͖ͬͺΓΕΔ
Ͳ͏Δͷ͔ 1. ߟ͑ํΛม͑Δ 2. ڵຯɾඞཁ͕͋Δ͜ͷʹ͚ͭ͜͡Δ 3. ͖ͬͺΓΕΔ
ࣗͷྫ Django ˠΞϧόΠτͰͬͯΔͭʹटΛͭͬ͜Ή React ˠ React NativeͰݚڀ༻ΞϓϦΛ࡞ͬͯΈΔ Kubernetes ˠ
ݚڀ༻ͷγεςϜͰͬͯΈΔ
KubernetesʹΑΔػցֶशγεςϜ ͍͔ͭ͘ͷϞσϧΛͬͨผγεςϜ εέʔϧ͢ΔϞσϧ܈ ܧଓతʹϞσϧͷߋ৽Λߦ͏ DeploymentsͰϞσϧͷόʔδϣϯΛཧ શʹݸਓతݟղͰ͢
Ϋϥελʔ A B C ཧ D ಛநग़ Ұྫ
Ϋϥελʔ A B C ཧ D ಛநग़ Ұྫ ݘ ݘ
ೣ ݘ
ͬͨ͜ͱ ݘೣผ ݴޠɿGoݴޠ ΞϧΰϦζϜɿELM ಛྔɿLBP ͦΕͧΕͷϞσϧͷAccuracy: 69 ~ 63%
͜Ε͔Β ݚڀ͕มΘͬͨͷͰɺͦΕʹ߹Θͤ ͍͖͍ͯͨ ผͷΞϧΰϦζϜࢼ͍͖͍ͯͨ͠ Ͱ͖ΔͳΒɺGoͰ࣮͍ͨ͠
݁Ռɾײ Accuracy: 72 ~ 55% ͋·ΓՌ্͕Βͳ͔ͬͨ k8sͷѻ͍ํͷ෮शʹͳͬͨ ݚڀͦͷͷָ͘͠Ͱ͖ͨ
݁ ࣗͷڵຯؔ৺ʹඥ͚ͮΔ Βͳ͖Ό͍͚ͳ͍͜ͱΛ֦ு͢Δ ෮शʹ͍͍Α
͋Γ͕ͱ͏͍͟͝ ·ͨ͠ʂ