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
railsdm2019
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Takatoshi Maeda
March 22, 2019
Technology
3.4k
7
Share
railsdm2019
Takatoshi Maeda
March 22, 2019
More Decks by Takatoshi Maeda
See All by Takatoshi Maeda
B2Cビジネスの本番環境で必要な継続性と高レスポンス性能を支えるコンテナアーキテクチャ / AWSSummit 2019 Tokyo
takatoshimaeda
0
2.4k
Other Decks in Technology
See All in Technology
Datadog 認定試験の概要と対策
uechishingo
0
180
個人AIからチームAIへ:開発における品質と生産性の再設計
moongift
PRO
0
290
Dynamic Workersについて
yusukebe
1
410
サプライチェーンセキュリティの空白地帯 - 信頼できる”依存性”の未来を考える
rung
PRO
1
270
AI駆動開発でなんでもハンズオン環境をつくってみた
yoshimi0227
0
170
APIテストとは?
nagix
0
140
プラットフォームエンジニア ワークショップ/ platform-workshop
databricksjapan
0
120
Cloud Run のアップデート 触ってみる&紹介
gre212
0
220
電子辞書Brainをネットに繋げてみた(自力編)
raspython3
0
310
JEP 522 Deep Dive - G1 GC同期コスト削減によるスループット向上を徹底検証&解説
tabatad
1
320
イベントストーミングとKiroの仕様駆動開発で実現する要件の認識合わせプロセス
syobochim
7
930
テストコードのないプロジェクトにテストを根付かせる
tttol
0
220
Featured
See All Featured
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
3.2k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.2k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
160
Designing for Performance
lara
611
70k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.1k
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
180
The Limits of Empathy - UXLibs8
cassininazir
1
340
How to build a perfect <img>
jonoalderson
1
5.5k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.1k
Building an army of robots
kneath
306
46k
Transcript
αʔϏεΛͤ͞ΔԾઆݕূจԽͷ࡞Γํ @takatoshi-maeda Rails Developers Meetup 2019 2019/03/22
Agenda 1. ࣗݾհ / τΫόΠͷհ 2. ΠϯτϩμΫγϣϯ 3. ྑ͍Ծઆݕূͬͯʁ 4.
νʔϜͰͷऔΓΈํ 5. ·ͱΊ
ରͱͯ͠ߟ͑ͨํ 1. αʔϏεɾϓϩμΫτͷ༷Λߟ͑ͳ͕ΒࣄΛ͍ͯ͠Δํ • ࣗͷࣄͷ݁Ռ͕ɺͬͯ͘Ε͍ͯΔਓʹͱͬͯͲΕ͚ͩخ͍͔͠Γ ͍ͨํ 2. ϓϩμΫτνʔϜϓϩμΫτͦͷͷΛϦʔυɾϚωδϝϯτ͍ͯ͠Δํ • ଌΓํߟ͑ํͷώϯτʹͳΔ(͔͠Εͳ͍)
ࣗݾհ • લా ढ़(@takatoshi-maeda) • גࣜձࣾτΫόΠɹ औకCTO • RailsΞϓϦ։ൃ /
Πϯϑϥߏஙɺӡ༻ / ϓϩμΫτϚωʔδϝϯτ etc… • Railsྺ7 • ॳΊͯ৮ͬͨόʔδϣϯ3.2 • ͖ͳπʔϧstackprof
ࣗݾհ - τΫόΠʹ͍ͭͯ • ಛചใɺνϥγใΛҬͷੜ׆ऀ ʹ৴͢ΔαʔϏε • খചళฮ༷͔Βݟͨͱ͖ʹϚʔέςΟ ϯάαʔϏε •
େඪ͓ళͷࠓ͍͍ͱ͜ΖΛࢁ ͷਓʹݟͯΒ͏͜ͱ
ࠓ͓͢Δ͜ͱ
• ΠϯλʔωοταʔϏεͷ։ൃʹؔΘΔԾઆݕূɺվળʹ͍ͭͯͷ͓ • ͨͪৗʹΰʔϧʹରͯ͠Ұઢʹ͔͍͍ͨ
• ͔͠͠ݱ࣮͘ͳ͍ • ਅ͙ͬ͢ਐΜͰΔͭΓͰࢥͬͨҎ্ʹӈԟࠨԟͯ͠ΊͪΌΊͪΌʹͳΔ
• ਖ਼͍͠ϧʔτ͍ํ • ཧͰݟ͑Δొࢁͷਖ਼͍͠ϧʔτ Ͱ͢Β͍͠ • ͨͪৗʹΰʔϧʹରͯ͠Ұ ઢʹ͔͍͍ͨ
• Ͱɺண࣮ʹ͍͍ۙͮͯͨ͘ΊʹͲ͏͢Δ͔ʁ • ࠓͦͷͨΊͷΛ͠·͢
BUILD LEARN MEASURE IDEA PRODUCT DATA 1. ͍͍Ծઆݕূͬͯʁ 2. νʔϜͰͷऔΓΈํ
Ծઆݕূ จԽ
͍͍Ծઆݕূͷ݅ ɹ1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ2. ͱઢΛ༻͍ͨݕূ ɹ3. ϓϩμΫτʹด͡ͳ͍ࢹ
1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ2. ͱઢΛ༻͍ͨݕূ ɹ3. ϓϩμΫτʹด͡ͳ͍ࢹ
1. ͷ໌֬͞ɺظޮՌͷେ͖͞ Ҭ͓ళ·ͱΊϖʔδ ϝʔϧϚΨδϯ ݕࡧΤϯδϯ ϒοΫϚʔΫ τοϓϖʔδ ͜͜Λվળ͢Δͱ ૿͑Δͣͩʂ GOAL:
͓ళϖʔδϔ๚ΕΔਓΛ૿͍ͨ͠ʂ
1. ͷ໌֬͞ɺظޮՌͷେ͖͞ Ҭ͓ళ·ͱΊϖʔδ ϝʔϧϚΨδϯ ݕࡧΤϯδϯ ϒοΫϚʔΫ τοϓϖʔδ GOAL: ͓ళϖʔδϔ๚ΕΔਓΛ૿͍ͨ͠ʂ 10
1 5 4 2 1 1. ࠷͕ࠩେ͖͍ͱ͜Ζʹ͢Δ
1. ͷ໌֬͞ɺظޮՌͷେ͖͞ 1. ͱ͋ΔҬʹ͋Δ͓ళͱ͍҆ͷΛΓͨ ͍͕ 2. ͓ళ͕132ళฮ͋ͬͯɺҬΛ͜ΕҎ্ ࡉ͔͘ߜΓࠐΊͳ͍ͷͰɺΓ͍ͨ݅Ͱ͓ ళΛΓ͍ͨϢʔβʔ໎͍ͬͯΔ 3.ߜΓࠐΈػೳΛ࣮͢Δ͜ͱͰɺ͕ࣗؾ
ʹͳΔϖʔδΛ͓ͬͯళϖʔδʹߦͬͯ͘ ΕΔͣͩʂ
1. ͷ໌֬͞ɺظޮՌͷେ͖͞ Ҭ͓ళ·ͱΊϖʔδ ϝʔϧϚΨδϯ ݕࡧΤϯδϯ ϒοΫϚʔΫ τοϓϖʔδ ͜͜Λվળ͢Δͱ ૿͑Δͣͩʂ GOAL:
͓ళϖʔδϔ๚ΕΔਓΛ૿͍ͨ͠ʂ 1. ԿނվળͰ͖Δ͔ͷγφϦΦ͕໌֬ 2. ظޮՌྔ͕େ͖͍ͱ͜Ζʹྗ
͍͍Ծઆݕূͷ݅ ɹ1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ2. ͱઢΛ༻͍ͨݕূ ɹ3. ϓϩμΫτʹด͡ͳ͍ࢹ
2. ʮʯͱʮઢʯΛ༻͍ͨݕূ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ ϒοΫϚʔΫ τοϓϖʔδ ϝʔϧϚΨδϯ ʁʁʁʁʁ ʁʁʁʁʁ
2. ʮʯͱʮઢʯΛ༻͍ͨݕূ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ ϒοΫϚʔΫ τοϓϖʔδ ϝʔϧϚΨδϯ 1. ߜΓࠐΈ͕ٻΊΒΕ͍ͯΔ͔ߜΓࠐΈࣗମͷΫϦοΫͰܭଌՄೳ 2.
1ͷΈͰ݁͢ΔࢦඪͳͷͰʮʯͷࢦඪ 3. ػೳ͕ٻΊΒΕͯΔ͔ΛଌΕΔ
2. ʮʯͱʮઢʯΛ༻͍ͨݕূ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ ϒοΫϚʔΫ τοϓϖʔδ ϝʔϧϚΨδϯ 1. ͓ళϦϯΫͷΫϦοΫͷઈରྔͰଌΔʁ 2.
͓ళϦϯΫͷΫϦοΫͰଌΔʁ ಋೖͨ͠UI͕ػೳͯ͠Δ͔Ͳ͏͔Θ͔Δ͕ɺ͓ళΛ୳ͤͯΔ͔Ͳ͏͔Ͳ͏ଌΔʁ -> PV͕૿͚͑ͨͩͷՄೳੑ͕͋Δ -> ࢁߜΓࠐΜͰ͓ళΛݟ͚ͭͨ߹ɺ ΫϦοΫԼ͕Δ(ޭ͍ͯ͠Δ͕ࢦඪ Լ͕Δ)
2. ʮʯͱʮઢʯΛ༻͍ͨݕূ ʢ͜ͷϧʔτͷʣޭηογϣϯͷׂ߹ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ ϒοΫϚʔΫ τοϓϖʔδ ϝʔϧϚΨδϯ 1. ઢͷࢦඪετʔϦʔΛද͢ࢦඪ
2. ཧͷετʔϦʔΛͨͲͬͨϢʔβʔ͔͠ޭϢʔβʔ ʹΧϯτ͞Εͳ͍ͨΊϊΠζʹڧ͍ 3. ͨͩ͠ɺͲͷϦϯΫΛΫϦοΫ͔ͨ͠ͳͲͷɺߦಈ༰ ͷৄࡉΘ͔Βͳ͍
2. ʮʯͱʮઢʯΛ༻͍ͨݕূ 1. ಋೖͨ͠ͷ͕ҙਤ௨Γػೳ͢Δ͔ʮʯ ͷࢦඪͰݟΔ 2. Ұ࿈ͷϢʔβʔମݧ্͕͍ͯ͠Δ͔ɺᆝଛ͠ ͍ͯΔ͔ʮઢʯͷࢦඪͰݟΔ
͍͍Ծઆݕূͷ݅ ɹ1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ2. ͱઢΛ༻͍ͨݕূ ɹ3. ϓϩμΫτʹด͡ͳ͍ࢹ
3. ϓϩμΫτʹด͡ͳ͍ࢹ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ
3. ϓϩμΫτʹด͡ͳ͍ࢹ ݕࡧΤϯδϯ Ҭ͓ళ·ͱΊϖʔδ •͍ͭͷങ͍Ͱ୳͍ͯ͠ΔϢʔβʔ •Ҿӽ͔ͨ͠ΓͰ͓ళΛ୳͍ͯ͠ΔϢʔβʔ •͓ग़͔͚ؼΓʹ͓ళΛ୳͍ͯ͠ΔϢʔβʔ ϢʔβʔϞνϕʔγϣϯ༷ʑ
3. ϓϩμΫτʹด͡ͳ͍ࢹ • Ϣʔβʔ͞Μ͕αʔϏεʹৼΕͯ͘ Ε͍ͯΔ࣌ؒੜ׆ͷதͰҰ෦Ͱ͠ ͔ແ͍ •αʔϏεʹ;ΕΔલޙͷจ຺ɺจ຺ ͷதͰͷײͷ༳Εಈ͖ʹେࣄͳώϯ τ͕ଘࡏ͢Δ͜ͱଟ͍ •ͰݟΔఆੑใΛ૿͍ͯ͘͠
ߦಈ͕େࣄ
͍͍Ծઆݕূͷ݅ ɹ1. ͷ໌֬͞ɺظޮՌͷେ͖͞ ɹ2. ͱઢΛ༻͍ͨݕূ ɹ3. ϓϩμΫτʹด͡ͳ͍ࢹ
BUILD LEARN MEASURE IDEA PRODUCT DATA 1. ͍͍Ծઆݕূͬͯʁ 2. νʔϜͰͷऔΓΈํ
Ծઆݕূ จԽ
ɹ1. Agility ɹ2. ظɾதظɾظͰৼΓฦΔ ɹ3. ԾઆݕূͷͨΊͷಓ۩Λॆ࣮ͤ͞Δ
ɹ1. Agility ɹ2. ظɾதظɾظͰৼΓฦΔ ɹ3. ԾઆݕূͷͨΊͷಓ۩Λॆ࣮ͤ͞Δ
Photo by Olga Guryanova on Unsplash
1. Agility • νʔϜͰऔΓΉͱ͖ʹεϐʔυɺࢼ͢ճॏཁ • ࡉཻ͔͍Ͱ࣮ߦ͢Εɺࣦഊʹର͢Δ৺ཧతোนԼ ͕Δ • େ͖࣮͘ߦ͢ΔͱαϯΫίετόΠΞε͕ॏ͘ͷ͔͔ͬ͠ ͯ͠·͏
• ϦζϜΑ͘։ൃ͢Δͷେࣄ • ৼΓฦΓͷཻͱසΛߟྀͯ͠2िؒͷεϓϦϯτϕʔε • 1िؒͩͱৼΓฦΓͷͨΊͷਐḿ͕࡞Γʹ͍͘
ɹ1. Agility ɹ2. ظɾதظɾظͰৼΓฦΔ ɹ3. ԾઆݕূͷͨΊͷಓ۩Λॆ࣮ͤ͞Δ
2. ظɾதظɾظͰৼΓฦΔ 4݄ 7݄ 10݄ 1݄ 4݄
2. ظɾதظɾظͰৼΓฦΔ • ৭ΜͳཻͷظؒͰৼΓฦΔ͜ͱ͕ͱͯॏཁ • 2िؒͷৼΓฦΓͰಘΒΕΔݟࢪࡦʹݶఆͨ͠ͷʹͳΓ͕ͪ • 1ϲ݄ϲ݄ͷ୯ҐͰৼΓฦΔ͜ͱͰɺେ͖ͳԾઆʹରͯ͠ݕূ͢Δ ػձ͕ಘΒΕΔ •
େཻ͖͍ͷৼΓฦΓɺ৫ͰϚωʔδϟʔͷͰ͋Δ͜ͱଟ͍ • ͨͩ͠ɺνʔϜͰҰॹʹৼΓฦΔ͖ • νʔϜͷڞ௨ݴޠΛ૿͠ɺԾઆϨϕϧΛ্͛Δ͜ͱ͕Ͱ͖Δ • ৼΓฦΓͷதͰɺϢʔβʔʹؔ͢Δٞʹ࣌ؒΛׂ͘͜ͱ͕ॏཁ • ৼΓฦΓͰձ͞ΕΔ༰͕จԽʹ݁͢Δ
ɹ1. Agility ɹ2. ظɾதظɾظͰৼΓฦΔ ɹ3. ԾઆݕূͷͨΊͷಓ۩Λॆ࣮ͤ͞Δ
None
3. ԾઆݕূͷͨΊͷಓ۩Λॆ࣮ͤ͞Δ •ʮੳख๏ͷڞ༗ʯʮੳϋʔυϧΛԼ͛ΔͨΊͷج൫උʯɺݕূͷεϐʔ υΛ্͛ΔͨΊͷಓ۩Λ૿͢͜ͱΛॏࢹ͍ͯ͠·͢ •SQLͰੳ͢Δ߹ɺϋʔυϧΛԼ͛ΔͨΊʹதؒσʔλViewΛੜ͢Δ •ϩάσʔλͦͷ··ͩͱΫΤϦͰѻ͍ͮΒ͍έʔε͕ଟ͍ •ੳख๏ΛslackνϟϯωϧࣾwikiͰͷڞ༗ •ੳษڧձΛ։͍ͯνʔϜͰύλʔϯԽ͢ΔͱɺΈΜͳͷಓ۩͕૿͑ͯͱͯศ ར •ఆྔతͳͷ͚ͩͰͳ͘ɺϢʔβʔΠϯλϏϡʔߦಈௐࠪͳͲΈ߹ΘͤΔ
•ࢦඪʹݱΕͳ͍ՕॴͰॏཁͳ͜ͱͨ͘͞Μ͋Δ
ɹ1. Agility ɹ2. ظɾதظɾظͰৼΓฦΔ ɹ3. ಓ۩Λॆ࣮ͤ͞Δ
BUILD LEARN MEASURE IDEA PRODUCT DATA 1. ͍͍Ծઆݕূͬͯʁ 2. νʔϜͰͷऔΓΈํ
Ծઆݕূ จԽ
αʔϏεΛͤ͞ΔԾઆݕূจԽͷܗ ྑ͍ৼΓฦΓΛࢁੵΈॏͶΔ ΛݟΔ؟ͷղ૾Λߴ͘͢ΔͨΊʹ
PR
ڞʹಇؒ͘Λืू͍ͯ͠·͢ʂ https://corp.tokubai.co.jp/recruitments/recruit.html
ࠓͷ࠙ձʹεΠʔπεϙϯαʔͱͯ͠ڠࢍ͍ͯ͠·͢ τΫόΠϝϯόʔ͓͢͢ΊεΠʔπΛἧ͖͑ͯ·ͨ͠ʂͥͻ৯ʹདྷ͍ͯͩ͘͞ʂ
Thankyou! https://railsdm.herokuapp.com/issues/124