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
JIRAをHubにした全方位向け情報共有
Search
Yshr9
November 25, 2016
Technology
3.4k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
JIRAをHubにした全方位向け情報共有
"InnoCAFE#23 このやり方であってる?ドキュメント管理と情報共有のお隣事情" 登壇資料
Yshr9
November 25, 2016
More Decks by Yshr9
See All by Yshr9
(公開用)カンバン基本の基 - 社内ランチ勉強会発表資料
yasuhiroyamada
0
370
ぼくが経験した JIRA 導入のながれ
yasuhiroyamada
1
1.7k
Other Decks in Technology
See All in Technology
AI 時代の Azure エンジニアリング ~ 私たちは何を磨き、何を任せるのか ~
chack411
1
480
全社共通データ基盤をつくる。ソニーのDatabricks活用とデータガバナンス設計の裏側
sony
0
430
[2026 Oracle Technical Deep Dive] AI時代のデータベース基盤をどう選ぶ? Exadata Database Serviceの選択肢と使い分け (2026年9月17日開催)
oracle4engineer
PRO
0
230
SDDの運用にめげずに向き合った話
sansantech
PRO
1
130
形式手法を使って仕様をコーディングしよう
mikanichinose
0
180
Incremental HTTP
kazuho
5
2.1k
ログラスのマルチプロダクトを 支える認証基盤 〜テナントごとに異なる統制とどう向き合うか〜
dada4386
3
400
[2026 Oracle Technical Deep Dive] AI時代のアプリケーションを支えるCloud NativeとJava EEモダナイゼーション (2026年9月17日開催)
oracle4engineer
PRO
0
120
調査タスクをAIと乗り切る 〜過去の調査をナレッジ化し 調査手順をスキルにする〜
mot_techtalk
1
120
転んだ話が背中を預ける理由になる / A_story_about_falling_down_gives_you_a_reason_to_watch_each_other_s_backs.pdf
pauli
3
270
Datadog の学び方 - あるいは、オブザーバビリティを学ぶとは何か
mananyuki
1
490
サーバーフルコンピューティング?AWS Lambda
iwatatomoya
1
260
Featured
See All Featured
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
390
Unsuck your backbone
ammeep
672
58k
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
470
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Making the Leap to Tech Lead
cromwellryan
135
10k
Design in an AI World
tapps
1
350
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2.7k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
18k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
25k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
300
The agentic SEO stack - context over prompts
schlessera
0
960
Transcript
+*3"Λ)VCʹͨ͠શํҐ͚ใڞ༗ *OOP$"'&͜ͷΓํͰ͋ͬͯΔʁυΩϡϝϯτཧͱใڞ༗ͷ͓ྡࣄ :BTVIJSP:BNBEB
ࣗݾհ ‣ جຊతͳʜ ‣ ࢁాହ༟!ZTIS ‣ େݝӉࠤࢢੜ·Ε ‣ ॴଐ
‣ ΞΠΩϡʔϒυγεςϜζ ‣ ͍ͬͯΔ͜ͱ ‣ $-0.0։ൃνʔϜͷαϙʔτ ‣ ձࣾͷ͍ΖΜͳϓϩηεઃܭʢϓϩηεɾΈେ͖ʣ ‣ ਓࡐ࠾༻ͳͲFUD ‣ +96(l+BQBO9BNBSJO6TFS(SPVQzԬͷࣄہ ։࠵
ࠓ࣋ͬͯؼ͍͚ͬͯͨͩͦ͏ͳ͜ͱ ‣ ฐࣾʢJʣͰࣾͷφϨοδΛͲ͏ཧ͠ɺ࠶ར༻Մೳʹ͍ͯ͠Δ͔ɻ ‣ φϨοδϕʔεΛࢧ͑Δ"UMBTTJBO5PPMTͷར༻Πϝʔδɻ
લఏ ‣ ࢲ͕ॴଐ͍ͯ͠Δձࣾ$-0.0ͱ͍͏ࣗࣾ։ൃιϑτΣΞఏڙͯ͠ച ্ͷ΄ͱΜͲΛߏ͍ͯ͠·͢ɻ ‣ $-0.0ݱ࣌Ͱ๏ਓ͚Ͱ͢ɻ ‣ Ԭຊࣾͱɺ౦ژΦϑΟεʹ͔Ε͍ͯ·͢ɻ ‣
։ൃνʔϜͷۀطଘιϑτΣΞͷػೳվળͱόάվम͕ϝΠϯͱͳ Γ·͢ɻ ‣ ๏ਓ͚ͱ͍͏ಛੑ্ɺࣾ֎͔ΒͷϦΫΤετΛىʹվमΛਐΊΔ͜ ͱ͕ଟ͍Ͱ͢ɻ
ԶΈ͍ͨʹͳΔͳʂ
φϨοδతࡒ࢈ φϨοδΛޮՌతʹੵ͢Δ͜ͱͰকདྷͷࣗνʔϜΛॿ͚·͢ɻ φϨοδ
φϨοδ͕ੵ͞Ε͍ͯͳ͍ͱ͍͏ෛ࠴ φϨοδ͕ੵ͞Ε͍ͯͳ͍͜ͱͰͳ͘ϚΠφεͰ͢ɻ φϨοδͷੵΛαϘΔͱ
φϨοδ͕ੵ͞Ε͍ͯͳ͍ͱ͍͏ෛ࠴ ‣ /FX$PNFSͷʑͱͨ͠ΩϟονΞοϓʢ࿐ࠎʹμϝʔδʣ ‣ ༷ʁόάʁઓ૪ʢಘͯͯ͠όάʹ͞ΕΔʣ ‣ ֎෦։ൃύʔτφʔΛ׆͔ͤͳ͍ʢʮ༷͋Γ·͔͢ʜʁʯʣ śƂŦ ೦ͳ͜ͱʹෛ࠴ࢦؔతʹ૿Ճʂʂ
r:͞Μ Ԭݝࡏॅஉੑ “ԶΈ͍ͨʹͳΔͳʂ”
φϨοδΛΑΓੵ͠ɺ࠶ར༻͘͢͢͠Δɻ ੵ͕গͳա͗Δͱใج൫ͱͯ͠ͷ৴པ͕ಘΒΕͣɺ࠶ར༻Ͱ͖ͳ͍ͱҙຯ͕ͳ͍ɻ ྑ͍φϨοδͷཧ
φϨοδཧͷߟ͑ํ
։ൃνʔϜ͕ؔΘΔφϨοδ ઃܭॻ ιʔείʔυ ༷ نɾΨΠυϥΠϯ ٞࣄ ݟɾτϐοΫ
࡞͞ΕΔλΠϛϯά͝ͱʹϙΠϯτ͕͋Δ ઃܭॻ ιʔείʔυ ༷ نɾΨΠυϥΠϯ ٞࣄ ݟɾτϐοΫ ։ൃϓϩδΣΫτதʹ࡞ ඞཁʹԠͯ͡ਵ࣌࡞
ϝϯόʔ͕ҙͰਵ࣌࡞
։ൃϓϩδΣΫτதʹ࡞͞ΕΔͷ ‣ ੵ͞ΕΔͨΊʹ ‣ ࣾ8JLJΛ༻ҙ͠ɺϓϩδΣΫτ༻ͷεϖʔεΛ࡞ɻ ‣ ։ൃϓϩδΣΫτͷ֤ϓϩηεʹ͓͚Δྃج४ͱͯ͠ΞτϓοτΛ ఆٛɻʢΞτϓοτ͕ແ͍ͱ࣍ϓϩηεʹਐΊͳ͍ɻʣ ‣
࠶ར༻͞ΕΔͨΊʹ ‣ ՝τϥοΩϯάγεςϜ্ͷ՝ʹΞτϓοτΛؔ࿈͚Δɻ ‣ ֤Ξτϓοτ༻ͷσΟϨΫτϦߏͷϧʔϧΛઃఆ͢Δɻ ‣ ֤Ξτϓοτ༻ϑΥʔϚοτΛఆٛɻ ‣ ˠใΛ୳ࡧ͍͢͠Α͏ʹ͓ͯ͘͠ɻ ઃܭॻ ιʔείʔυ ٞࣄ
ඞཁʹԠͯ͡ਵ࣌࡞͞ΕΔͷ ‣ l͍ͭͲΜͳͷ͕࡞͞ΕΔ͔ͷ༧ଌෆՄೳzͱ͍͏લఏɻ ‣ Ͱ͖ΕͲΜͲΜ࡞͞ΕΔ͜ͱ͕·͍͠ɻ ‣ ੵ͞ΕΔͨΊʹ ‣ ࣾ8JLJʹͬ͘͟Γͱͨ͠εϖʔεΛ༻ҙ͠ɺͳΜͰͦ͜ʹ͍Ε
ͯ͏ɻʢඞͣ͠ମܥతʹཧ͠ͳͯ͘ྑ͍ɻ͋ͱͰཧɻʣ ‣ ࠶ར༻͞ΕΔͨΊʹ ‣ ͳΜͰͦ͜ʹ͋Δͱ͍͏৴པ͕ॏཁɻ ‣ ͱʹ͔͘࡞ͷ͖͍͠ΛԼ͛ɺΞτϓοτΛଅਐ͢Δɻ نɾ ΨΠυϥΠϯ ༷
ϝϯόʔ͕ҙͰਵ࣌࡞͢Δͷ ‣ ੵ͞ΕΔͨΊʹ ‣ ϝϯόʔݸਓ͕खܰʹॻ͚ΔεϖʔεΛ༻ҙ͢Δɻ ‣ ͲΜͲΜॻ͍ͯΒͬͯॻ͍ͨΒΓ্͕Δ෩ைΛͭ͘Δɻ ‣ ͖͍͠Λ্͛ͯ͠·͏ࢥ͍ࠐΈΛഉআ͢Δɻ
͖͍͠Λ্͛ͯ͠·͏ࢥ͍ࠐΈ ‣ ٕज़తਂͷਂ͍ͷ͔͠ॻ͍͍͚ͯͳ͍ͷͰͳ͍͔ɻ ‣ ҙࣝߴ͍͜ͱ͔͠ॻ͍͍͚ͯͳ͍ͷͰͳ͍͔ɻ ‣ ମܥతʹཧ͞Εͳ͍ͱ͍͚ͳ͍ͷͰͳ͍͔ɻ ݟɾ τϐοΫ
Ͳ͏ͬͯӡ༻͍ͯ͠Δ͔
πʔϧ ‣ +*3"4PGUXBSF ‣ $POqVFODF ‣ ESBXJP ‣ #JUCVDLFU
‣ 4MBDL
πʔϧ ‣ +*3"4PGUXBSFˠ։ൃ՝τϥοΩϯάɾࣾϔϧϓσεΫ ‣ $POqVFODF ‣ ESBXJP ‣ #JUCVDLFU
‣ 4MBDL
πʔϧ ‣ +*3"4PGUXBSFˠ։ൃ՝τϥοΩϯάɾࣾϔϧϓσεΫ ‣ $POqVFODFˠࣾ8JLJɾࣾϒϩά ‣ ESBXJP ‣ #JUCVDLFU
‣ 4MBDL
πʔϧ ‣ +*3"4PGUXBSFˠ։ൃ՝τϥοΩϯάɾࣾϔϧϓσεΫ ‣ $POqVFODFˠࣾ8JLJɾࣾϒϩά ‣ ESBXJPˠը໘ઃܭॻը໘ભҠਤ࡞ $POqVFODF"EEPO
‣ #JUCVDLFU ‣ 4MBDL
πʔϧ ‣ +*3"4PGUXBSFˠ։ൃ՝τϥοΩϯάɾࣾϔϧϓσεΫ ‣ $POqVFODFˠࣾ8JLJɾࣾϒϩά ‣ ESBXJPˠը໘ઃܭॻը໘ભҠਤ࡞ $POqVFODF"EEPO
‣ #JUCVDLFUˠιʔείʔυཧ ‣ 4MBDL
πʔϧ ‣ +*3"4PGUXBSFˠ։ൃ՝τϥοΩϯάɾࣾϔϧϓσεΫ ‣ $POqVFODFˠࣾ8JLJɾࣾϒϩά ‣ ESBXJPˠը໘ઃܭॻը໘ભҠਤ࡞ $POqVFODF"EEPO
‣ #JUCVDLFUˠιʔείʔυཧ ‣ 4MBDLˠඇಉظίϛϡχέʔγϣϯɾ8FCIPPL#PU௨
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ઃܭॻ ιʔείʔυ ٞࣄ
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ՝ ϦΫΤετ ϦΫΤετ༻ͷ՝Λ࡞͢Δɻʢશϝϯόʔʣ ઃܭॻ
ιʔείʔυ ٞࣄ
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ՝ " ϓϩδΣΫτ ϦΫΤετ
εΫϦʔχϯά # $ ՝ ϦΫΤετΛεΫϦʔχϯά͠ϓϩδΣΫτʹؚΊΔͷΛ·ͱΊΔɻ ઃܭॻ ιʔείʔυ ٞࣄ
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ՝ ϦΫΤετ εΫϦʔχϯά ΩοΫΦϑ
ΩοΫΦϑ ٞࣄ ϓϩδΣΫτ ϖʔδ ՝ " ϓϩδΣΫτ # $ ՝ ඥ͚ ϓϩδΣΫτΛΩοΫΦϑ͠༰ͷਫ਼ࠪΛߦ͏ɻٞࣄͱϓϩδΣΫτϖʔδ Λ࡞͠ɺ+*3"্ͷϓϩδΣΫτͱͻ͚ͮΔɻ ઃܭॻ ιʔείʔυ ٞࣄ
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ՝ ϦΫΤετ εΫϦʔχϯά ΩοΫΦϑ
ΩοΫΦϑ ٞࣄ ϓϩδΣΫτ ϖʔδ ϓϩμΫτ Φʔφʔ ͜ΕΛͱʹ ௐɾަব ՝ ϓϩδΣΫτ ඥ͚ " # $ ՝ ٞࣄͱϓϩδΣΫτϖʔδʹهࡌͨ͠ใΛͱʹϓϩμΫτΦʔφʔͱϦ Ϧʔεཁ݅ͷೝࣝ߹ΘͤɾަবɾௐΛߦ͏ɻ ઃܭॻ ιʔείʔυ ٞࣄ
ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF +*3" #JUCVDLFU ՝ ϦΫΤετ εΫϦʔχϯά ΩοΫΦϑ
ΩοΫΦϑ ٞࣄ ϓϩδΣΫτ ϖʔδ ϓϩμΫτ Φʔφʔ ͜ΕΛͱʹ ௐɾަব ՝ " ϓϩδΣΫτ # $ ՝ ඥ͚ $ # " +*3"՝ʹ ඥ͚ ઃܭؔ࿈υΩϡϝϯτ ઃܭ ઃܭυΩϡϝϯτ$POqVFODF্ʹ࡞͠ɺؔ࿈͢Δ+*3"্ͷϦΫΤετ ʹͻ͚͍ͮͯ͘ɻʢࣗಈͰͻͮ͘ɻʣ ઃܭॻ ιʔείʔυ ٞࣄ
$ </> # </> $ # ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF
+*3" #JUCVDLFU ՝ ϦΫΤετ εΫϦʔχϯά ΩοΫΦϑ ઃܭ ։ൃ ΩοΫΦϑ ٞࣄ ϓϩδΣΫτ ϖʔδ " " </> ϓϩμΫτ Φʔφʔ ͜ΕΛͱʹ ௐɾަব +*3"՝ʹ ඥ͚ ઃܭؔ࿈υΩϡϝϯτ ιʔείʔυ " ϓϩδΣΫτ # $ ՝ ඥ͚ +*3"՝ʹ ඥ͚ +*3"্ͷϦΫΤετ͔ΒϒϥϯνΛ࡞͢Δ͜ͱͰϦΫΤετͱϒϥϯν͕ඥ ͮ͘ɻ·ͨؔ࿈ͷ͋ΔίϛοτϓϧϦΫΛࣗಈͰͻ͚ͯ͘ΕΔɻ ઃܭॻ ιʔείʔυ ٞࣄ
$ </> # </> $ # ϓϩδΣΫτ࣮ࢪதͷΞτϓοτ ϓϩηε $POqVFODF
+*3" #JUCVDLFU ՝ ϦΫΤετ εΫϦʔχϯά ΩοΫΦϑ ઃܭ ։ൃ ΩοΫΦϑ ٞࣄ ϓϩδΣΫτ ϖʔδ " " </> ϓϩμΫτ Φʔφʔ ͜ΕΛͱʹ ௐɾަব +*3"՝ʹ ඥ͚ +*3"Λ)VCʹͯؔ͠࿈ใΛ୳͍͢͠Α͏ʹΞτϓοτ͢Δ͜ͱ͕Ͱ͖Δ ઃܭؔ࿈υΩϡϝϯτ ιʔείʔυ " ϓϩδΣΫτ # $ ՝ ඥ͚ +*3"՝ʹ ඥ͚ ઃܭॻ ιʔείʔυ ٞࣄ
༷͍߹ΘͤΛ׆༻ͨ͠φϨοδϕʔε ‣ +*3"ʹϔϧϓσεΫ༻ͷεϖʔεΛ༻ҙɻ ‣ ͜͜Ͱશ͔ࣾΒ༷ʹؔ͢Δ͍߹ΘͤΛड͚͚ɺΧελϚʔα ϙʔτϝϯόʔ͕Ұ࣍ड͚ɻ ‣ ߘͱͦΕʹର͢ΔճΛશࣾʹެ։ɻ ‣
ಉ͡Α͏ͳ͍߹Θ͕ͤ͢Ͱʹͳ͍͔୳ͤΔɻ ‣ ͢Ͱʹͳ͍߹৽ن͍߹ΘͤΛىථɻ ‣ ͜Ε·Ͱ݅ఔͷ͔ࣾΒͷ༷͍߹Θͤ ‣ ݱࡏະղܾͷ͍߹Θͤ݅ͷΈɻ ༷
༷͍߹ΘͤΛ׆༻ͨ͠φϨοδϕʔε ༷
֤छΨΠυϥΠϯنɺࣾϧʔϧͳͲΛ·ͱΊͨεϖʔε نɾ ΨΠυϥΠϯ ඇެ։
ύʔιφϧεϖʔεʹϒϩάɾϊϋهࣄΛߘ ‣ $POqVFODFʹݸਓ͝ͱͷεϖʔεΛ࡞Ͱ͖Δػೳ͕͋Δɻ ‣ ϒϩάػೳแ͞Ε͍ͯΔͷͰར༻͍ͯ͠Δɻ ‣ ՝ˠ௨͕ඍົ ‣ ֤ਓ͕ͦΕͧΕͷύʔιφϧεϖʔεΛΥον0/͠ͳ͍ͱهࣄ࡞
࣌ʹ௨͞Εͳ͍ ‣ ˠ8FCIPPLʹ4MBDLͰ௨ɻ ݟɾ τϐοΫ
·ͱΊ ‣ ΑΓੵ͠ɺΑΓ࠶ར༻͘͢͢͠Δ͜ͱ͕؊ཁɻ ‣ Ξτϓοτͷछྨɺੑ࣭ʹΑΓੵɾ࠶ར༻͘͢͢͠ΔͨΊͷ ϙΠϯτେ͖͘ҟΔͷͰͦΕͧΕέΞ͢Δɻ ‣ ϧʔϧԽ͢Δͷɻ ‣
͖͍͠ΛԼ͛Δͷɻ
·ͱΊ ‣ "UMBTTJBO5PPMTΛ͔ͭ͏ϝϦοτ ‣ "UMBTTJBOͷπʔϧɺπʔϧؒ࿈ܞৄࡉͳϫʔΫϑϩʔઃఆ͕ ͏·ΈͳͷͰ+*3"Λ)VCʹͯ͠όϯόϯ࿈ܞͯ͠ใΛ͙ͨΓ ͘͢͢Δɻ ‣ "UMBTTJBOͷπʔϧͰ·ͱΊΔͱΞΧϯτཧָ͕ɻ
‣ ͓ஈྑ৺త?? ‣ ͨͩ"UMBTTJBO5PPMTͰͳ͍ͱͰ͖ͳ͍Θ͚Ͱͳ͍ɻ ‣ #BDLMPH 3FENJOF 2JJUB5FBN FTB FUDʜͰͪΖΜՄೳɻ
&/%