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
第1回スクラム実験室 スクラムのアーティファクト / Scrum Artifacts
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
deko2369
October 31, 2018
Technology
500
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
第1回スクラム実験室 スクラムのアーティファクト / Scrum Artifacts
deko2369
October 31, 2018
More Decks by deko2369
See All by deko2369
第4回 スクラム実験室 合意形成ワークショップ 〜立場が議論を熱くする〜 / Scrum Labo - Consensus Building Workshop
deko2369
1
510
第1回スクラム実験室 スクラムの概要 / Scurm Overview
deko2369
0
390
Other Decks in Technology
See All in Technology
Slack上でインフラをトラブルシュートする! Agentic Platform Engineeringの第一歩
teru0x1
5
1.8k
beyond jj: config & tools ecosystem
indirect
0
5.5k
Oracle Cloud Network Path Analyzerを試してみた/I Tried Out Oracle Cloud Network Path Analyzer
masakiokuda
1
110
【技術的負債conf】事業成長に伴う技術的負債の説明責任とAIによるモニタリング、認知的負債について
i35_267
3
1.8k
サーバーレスをどこまで使う? WebRTC対戦ゲームで選んだVPSとの共存設計
kaidouji85
0
220
2026-09-18 gotanda.sre Terraformで複数環境作ったり、複数Stateに分割したりそれとTerragrunt / Terraform multi envs and multi states
masasuzu
3
650
白金鉱業Meetup Vol.25 アウトカムが二値のデータに対するCausal Impact
brainpadpr
0
260
Von-Neumann Machines, Dreams & The Futures of IT
ufried
0
110
Minecraft JavaのMODをSwiftで作る
1mash0
0
190
aws-iot-platform-architecture-use-cases.pdf
ma2shita
0
410
AIエージェントを最高のパートナーに育てる方法|評価と判断軸を育てる5つのステップ
koichiaoki
1
160
え、こんなに早く改修できるの?──新人エンジニアとスクラムマスターの2人が語る、AI×アジャイル開発の現場
ysasago
2
570
Featured
See All Featured
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
240
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
940
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
12k
[SF Ruby Conf 2025] Rails X
palkan
3
1.4k
Believing is Seeing
oripsolob
1
220
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
540
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Why Our Code Smells
bkeepers
PRO
340
58k
It's Worth the Effort
3n
188
29k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2.2k
The browser strikes back
jonoalderson
0
1.7k
Transcript
ୈҰճ εΫϥϜ࣮ݧࣨ εΫϥϜͷΞʔςΟϑΝΫτ !EFLP
ࣗݾհ •ࢁ ܛ !EFLP •ΣϒܥاۀۈͷΤϯδχΞ •εΫϥϜϚελʔྺ ͙Β͍ • ਓεΫϥϜ͔ΒਓͷେنεΫϥϜ·Ͱ ͞·͟·
ΞʔςΟϑΝΫτͱʁ
εΫϥϜʹ͓͚Δ Ռͷ͜ͱ
εΫϥϜʹ͓͚Δͭͷப
ಁ໌ੑɾݕࠪɾదԠ
ಁ໌ੑ దԠ ݕࠪ
ಁ໌ੑΛ ୲อ͢ΔͨΊͷͷ
ಁ໌ੑ •νʔϜͷ࡞Δ͖ͷɺλεΫɺग़དྷ্͕ͬͨ ͷΛͯ͢Λ୭ʹͰΘ͔ΔΑ͏ʹ͢Δ͜ͱ •εΫϥϜΛ࣮ફ͢Δ্Ͱͷେલఏ •͜Ε͕ͳ͍ͱ ʮͲ͜ͷԿ͕ͳͷ͔Θ͔Βͳ͍ʯ ʮΘ͔Βͳ͍ͱվળͰ͖ͳ͍ʯ
ͲΜͳͷ͕ʮಁ໌ੑʯʹ͋ͨΔ͔ •ϓϩδΣΫτͷঢ়گ • શମͷਐͲ͏͔ • ग़དྷ্͕ͬͨͷͷ࣭Ͳ͏͔ • λεΫΓͳ͘ਐΜ͔ͩ • සൟʹཁ͕݅มԽ͍ͯ͠ͳ͍͔
ͳͲ •ϝϯόʔͷঢ়گ • ҰఆͷਓʹλεΫ͕ภ͍ͬͯͳ͍͔ • ϝϯόʔಉ࢜ͷτϥϒϧى͖ͯͳ͍͔ ͳͲ
εΫϥϜʹ͓͚ΔՌ ʢΞʔςΟϑΝΫτʣ •νʔϜͷঢ়گΛՄࢹԽ͢ΔͨΊʹ νʔϜ͕ཧ͢Δͷ •ϓϩμΫτόοΫϩά •εϓϦϯτόοΫϩά •ΠϯΫϦϝϯτ
Πϝʔδ͢ΔͨΊʹ ࣮ࡍʹϓϩμΫτΛߟ͑Α͏
ϓϩμΫτ։ൃΛγϛϡϨʔτ͠Α͏ •Έͳ͞Μ͋ΔϓϩμΫτ։ൃνʔϜͷ ϝϯόʔͰ͢ •࡞ΔͷʮγϣοϐϯάαΠτʯ •࣮ࡍʹεΫϥϜͰࣄΛ͢Δ߹ɺ ͲΜͳՌΛ࡞Δͷ͔ݟ͍͖ͯ·͠ΐ͏
ϓϩμΫτͷ Πϝʔδ
ΩʔϫʔυΛೖྗ ݕࡧ ͜Μʹͪɺʓʓ͞Μ ϩάΞτ ΠΧͨ͠ϩΰ ը૾ ը૾
ը૾ ͓ஈ ͓ஈ ͓ஈ
50%0 •ΛΩʔϫʔυݕࡧͰ͖Δ •ը૾͕දࣔ͞Ε͍ͯΔ •ͷ͓ஈ͕දࣔ͞Ε͍ͯΔ •ϩάΠϯ͕Ͱ͖Δ •ϩάΞτ͕Ͱ͖Δ •ΠΧͨ͠ϩΰ͕දࣔ͞Ε͍ͯΔ •ͳͲͳͲ
ϓϩμΫτͰԿ͕Ͱ͖Δ͔Λ ཧ͢ΔϦετ
ϓϩμΫτόοΫϩά
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ
Ґ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ ϓϩμΫτόοΫϩάΞΠςϜ
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ Ґ
ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ - . . 4 9- ࡞ۀͷྔͷେ͖͞
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ Ґ
ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ - . . 4 9- ࡞ۀͷྔͷେ͖͞
ϓϩμΫτόοΫϩά •தظʹͲͷΑ͏ͳ͜ͱΛ͢Δ͔Λཧ͢Δ •ϓϩμΫτόοΫϩάΞΠςϜͷ༰ ༏ઌॱҐपғͷঢ়گʹΑͬͯࠁҰࠁͱมԽ͢Δ •ৗʹ࠷৽ͷঢ়ଶʹอͭͷ͕େࣄ
ϓϩμΫτόοΫϩά ΞΠςϜ
ϓϩμΫτόοΫϩάΞΠςϜ •ͦͷΞΠςϜ͕Ͳ͏ͳͬͨΒྃͳͷ͔ ݅Λهࡌ͠·͢ •ͦͷ͜ͱΛ "DDFQUBODF$SJUFSJBʢड͚ೖΕ݅ʣ ͱ͍͍·͢
"DDFQUBODF$SJUFSJBͷྫ •ʮΛΩʔϫʔυݕࡧͰ͖Δʯͷ"$ •ར༻ऀ͕ΩʔϫʔυΛೖྗ͠ݕࡧ͢Δ͜ͱ͕ Ͱ͖Δ •ར༻ऀݕࡧ݁ՌΛϦετܗࣜͰӾཡͰ͖Δ •ݕࡧ݁Ռ͕݅ͷ߹ͦͷࢫΛදࣔ͢Δ •ֆจࣈ͕ೖྗ͞Εͨ߹ΤϥʔΛදࣔ͢Δ
ϓϩμΫτόοΫϩάͷ ཧऀ
ϓϩμΫτΦʔφʔ
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ Ґ
ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ - . . 4 9- ࡞ۀͷྔͷେ͖͞
ϓϩμΫτΛ ͲͷΑ͏ʹ࣮ݱ͢Δ͔Λ ཧ͢ΔϦετ
εϓϦϯτόοΫϩά
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ Ґ
ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ - . . 4 9- ࡞ۀͷྔͷେ͖͞
ϓϩμΫτόοΫϩά ΞΠςϜΛͲ͏࣮ͬͯݱ͢Δ͔ Λ࣮ࡍͷλεΫʹදݱ͢Δ
ΛΩʔϫʔυݕࡧͰ͖Δ - 6*ͷमਖ਼ ίʔυ ϨϏϡʔ ςετ %#ͷ ߏங σϓϩΠ
ΛΩʔϫʔυݕࡧͰ͖Δ - 6*ͷमਖ਼ ίʔυ ϨϏϡʔ ςετ %#ͷ ߏங σϓϩΠ I
I I I I
ΛΩʔϫʔυݕࡧͰ͖Δ - 6*ͷमਖ਼ ίʔυ ϨϏϡʔ ςετ %#ͷ ߏங σϓϩΠ I
I I I I
εϓϦϯτόοΫϩά •࣮ࡍʹ։ൃνʔϜ͕εϓϦϯτதʹ࣮ࢪ͢Δ λεΫΛཧ͢Δ •࣮࡞ۀࣄલʹఆͨ͜͠ͱͱ ҟͳΔ͜ͱ͕ଟ͍ •ͦ͏͍ͬͨνʔϜͷݱঢ়Λ εϓϦϯτόοΫϩάʹਵ࣌ө͍ͯ͘͠
εϓϦϯτόοΫϩάͷ ཧऀ
։ൃνʔϜ
εϓϦϯτͰग़དྷ্͕ͬͨ ϓϩμΫτͷࠩ
ΠϯΫϦϝϯτ
ΠϯΫϦϝϯτ •࣮ࢪͨ͠εϓϦϯτͰྃͨ͠ ϓϩμΫτόοΫϩάΞΠςϜͷ͜ͱ •ΠϯΫϦϝϯτͦͷ࣌ͰϓϩμΫτ͕ ࢢʹग़ՙՄೳͰ͋Δঢ়ଶͰ͋Δ͔͕େࣄ •ͭ·ΓεϓϦϯτ͝ͱʹϓϩμΫτ͕ ಈ࡞͍ͯ͠Δঢ়ଶ͕ඞཁʹͳΔ
ग़ՙՄೳͳঢ়ଶͰͳ͍ͱ •εϓϦϯτϨϏϡʔͰ༗ӹͳϑΟʔυόοΫ͕ ಘΒΕͳ͍ ˰ϓϩμΫτʹର͢ΔվળҊ͕ग़ͯ͜ͳ͍ •ͳͷͰɺ͜ͷঢ়ଶΛ࣮ݱ͢ΔͨΊʹ ঃʑʹϓϩμΫτΛੵΈ্͛ͯ࡞Γ্͛Δ ඞཁ͕͋Δ
ΩʔϫʔυΛೖྗ ݕࡧ ͜Μʹͪɺʓʓ͞Μ ϩάΞτ ΠΧͨ͠ϩΰ ը૾ ը૾
ը૾ ͓ஈ ͓ஈ ͓ஈ
͜Μʹͪɺʓʓ͞Μ ϩάΞτ ΠΧͨ͠ϩΰ
͜Μʹͪɺʓʓ͞Μ ϩάΞτ ΠΧͨ͠ϩΰ ը૾ ը૾ ը૾ ͓ஈ
͓ஈ ͓ஈ
ΩʔϫʔυΛೖྗ ݕࡧ ͜Μʹͪɺʓʓ͞Μ ϩάΞτ ΠΧͨ͠ϩΰ ը૾ ը૾
ը૾ ͓ஈ ͓ஈ ͓ஈ
εϓϦϯτΛ࣮ࢪ͢Δ͝ͱʹ গͣͭ͠ੵΈ্͍͛ͯ͘
ΞʔΩςΫτʹ͍ͭͯ ͭ͝հ͠·ͨ͠
ͳͥʮࠓʯΛݟ͑ΔΑ͏ʹ ͢Δͷ͕େࣄͳͷ͔ʁ
ΞʔΩςΫτ͕ݟ͑ΔԽ͢Δͷ •ϓϩμΫτόοΫϩά ˰ ϓϩμΫτͷʮࠓʯͷํੑ •εϓϦϯτόοΫϩά ˰ νʔϜͷʮࠓʯ •ΠϯΫϦϝϯτ ˰ ϓϩμΫτ͕ʮࠓʯͰ͖Δ͜ͱ
վળΛଅͨ͢Ί
ʮࠓʯ͕Θ͔Βͳ͍ͱ վળ͕Ͱ͖ͳ͍
εΫϥϜ
ݱঢ়Λݟ͑ΔԽ͠ ৫ʹมԽΛଅ͢ ϑϨʔϜϫʔΫ
·ͱΊ
ΞʔςΟϑΝΫτͱʁ
εΫϥϜʹ͓͚Δ Ռͷ͜ͱ
ϓϩμΫτͰԿ͕Ͱ͖Δ͔Λ ཧ͢ΔϦετ
ϓϩμΫτόοΫϩά
ΛΩʔϫʔυݕࡧͰ͖Δ ը૾͕දࣔ͞Ε͍ͯΔ ύεϫʔυϩάΠϯ͕Ͱ͖Δ ϩΰ͕දࣔ͞Ε͍ͯΔ ߴ ༏ ઌ ॱ Ґ
ϓϩμΫτόοΫϩάΞΠςϜ ੜମೝূͰϩάΠϯ͕Ͱ͖Δ - . . 4 9- ࡞ۀͷྔͷେ͖͞
ϓϩμΫτΛ ͲͷΑ͏ʹ࣮ݱ͢Δ͔Λ ཧ͢ΔϦετ
εϓϦϯτόοΫϩά
εϓϦϯτͰग़དྷ্͕ͬͨ ϓϩμΫτͷࠩ
ΠϯΫϦϝϯτ
ͳͥʮࠓʯΛݟ͑ΔΑ͏ʹ ͢Δͷ͕େࣄͳͷ͔ʁ
վળΛଅͨ͢Ί
2"