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
Technology of Mister Suite
Search
hsekine
July 04, 2016
Business
190
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Technology of Mister Suite
MisterSuiteを支える技術
hsekine
July 04, 2016
More Decks by hsekine
See All by hsekine
What I Learned from the Python Community
hsekine
1
52
What I Learned from the Python Community
hsekine
0
280
Python Engineer First Book
hsekine
1
1.6k
Python's Situation in Japanese Startups
hsekine
1
230
technology-of-squeeze
hsekine
0
3k
Vacation Rentals of Hiroshima
hsekine
1
900
PyCon JP 2015 Opening 02
hsekine
0
160
PyCon JP 2015 Closing 02
hsekine
0
55
PyCon JP 2015 Opening 01
hsekine
0
140
Other Decks in Business
See All in Business
ピリカ 採用候補者向け資料(スマホ版)2026.11
pirika_info
0
180
納品して終わり、を事業会社でやった話
tamosan01
2
280
正しさよりも、受け取ってもらえる言葉を!非暴力コミュニケーションのすすめ
kawanotron
0
220
小さく早く作る って 本当に正しいの?— GTMの観点から見るアジャイル開発
ryu1013
0
210
会社・採用資料(CompanyDeck)_2026.10
sixtypercent
0
270
株式会社ユビレジ_採用ピッチ資料 / Ubiregi_CompanyProfile
ubiregi_saiyo
1
12k
DiSC®研修|相互理解とチームづくり+ミニチームコーチング
chibanba1982
0
120
3ヶ月で月額300万円削減 ── AWSコスト削減プロジェクトのリアル
o2mami
0
740
【DearOne】Dear Newest Member
hrm
3
21k
Crisp Code inc.|コーポレート・サービス紹介 - Corporate & Services Introduction
so_kotani
0
700
決めたことより、「なぜ決めたか」を残す
doiko123
0
450
新卒採用向け説明資料
kazumakitao
PRO
1
4.3k
Featured
See All Featured
What the history of the web can teach us about the future of AI
inesmontani
PRO
3
790
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.7k
We Are The Robots
honzajavorek
0
440
The Mindset for Success: Future Career Progression
greggifford
PRO
0
560
Done Done
chrislema
187
17k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.3k
Ruling the World: When Life Gets Gamed
codingconduct
0
430
Automating Front-end Workflow
addyosmani
1370
210k
[Rails World 2026] Durable orchestration on Rails: from continuation to workflow
palkan
3
1.2k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
2
6.4k
Optimising Largest Contentful Paint
csswizardry
37
4k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.4k
Transcript
Mister SuiteΛ ࢧ͑Δٕज़ 2016/06/24 ؔࠜ༟ل dots.ελʔτΞοϓ෦
ࣗݾհ • ؔࠜ༟لʢ͖ͤͶ ͻΖͷΓʣ • גࣜձࣾSQUEEZE • Twitter: @checkpoint •
ෳͷελʔτΞοϓɺϕϯνϟʔاۀΛܦ ݧ
ίϛϡχςΟ׆ಈ • PyCon JP 2014 ελοϑ • PyCon JP 2015
ϓϩάϥϜνʔϜ෭࠲ • PyCon JP 2016 ελοϑ • Python͘͘ձʢओ࠵ʣ
ίϛϡχςΟ׆ಈʢ̎ʣ • LLDiver • PyCon JP 2014 • Plone Symposium
Tokyo 2015 • PyCon mini Hiroshima • PythonΤϯδχΞཆಡຊʢڞஶʣ
͍ͨ͜͠ͱ • ελʔτΞοϓͳΒͰͷΈɺϫΫϫΫͷ ڞ༗ʢdots.ελʔτΞοϓ෦ΑΓʣ • ༻͍ͯ͠ΔςΫϊϩδʔ • ࣮ࡍͷ։ൃݱɺϓϩμΫτ։ൃ • ձࣾͷεςʔδຖͷ՝ɺվળํ๏
גࣜձࣾSQUEEZE • ઃཱ: 20149݄ • ࣾһ: 23໊ʢ֎ࠃ੶: 8໊ʣ • ࣄۀ:
ΠϯόϯυɺO2Oؔ࿈ͷϏδωε • ۭ͖෦ͷղফʢຽധͷ༗ޮ׆༻ʣ • Ҭ׆ੑԽʢҬίϛϡχςΟ͕࣋ͭࢿ࢈ͷ׆༻ʣ
None
None
։ൃϝϯόʔʢ8໊ʣ • ϓϩμΫτϚωʔδϟʔ: 1໊ • όοΫΤϯυΤϯδχΞ: 5໊ • ϑϩϯτΤϯυΤϯδχΞ: 1໊
• σβΠφʔ: 1໊
• Python • Django • ScrapyʢScrapingʣ όοΫΤϯυ
ϑϩϯυΤϯυ • AngularJS • jQuery • Bower • Gulp
Πϯϑϥ • Route 53ʢdomainʣ • S3ʢstorageʣ • Elastic BeanstalkʢEC2, ELBʣ
• SQSʢmessage queueʣ • RDSʢMySQLʣ • Redis (Cache, KVS)
ϩάɺύϑΥʔϚϯεࢹ • ElasticSearch • Kibana
αʔϏε • NewRelicʢPerformanceʣ • CircleCIʢAutomationʣ • JenkinsʢTest) • MailgunʢMailʣ
։ൃϓϩηε • Scrum • JIRA • Github • Slack •
Qiita:Team
։ൃͷਐΊํ • ϓϩμΫτΦʔφʔɺϓϩμΫτϚωʔδϟɺ ֤νʔϜ͕ٞ • ػೳɺमਖ਼߲ͷ༏ઌॱҐܾఆ • ΤϯδχΞͱ։ൃ͢ΔͷΛܾఆ • ࣮ͯ͠ϦϦʔεʢिʹ1Ґʣ
͍ͨ͜͠ͱ • ༻͍ͯ͠ΔςΫϊϩδʔ • ࣮ࡍͷ։ൃݱɺϓϩμΫτ։ൃ • ձࣾͷεςʔδຖͷ՝ɺվળํ๏
ۀʙ3͔݄Ґʢ1ʣ • ۀϝϯόʔ2໊͕ϚχϡΞϧͰΦϖϨʔγϣϯ • ϏδωεϞσϧͷݕূ • ސ٬ͷχʔζΛΔɺधཁ͋Δ͔ • ސ٬ͲΜͳ͜ͱΛظ͍ͯ͠Δ͔ •
Ϗδωεͱͯ͠εέʔϧ͢Δ͔
ۀʙ3͔݄Ґʢ2ʣ • Evernoteʢ݅ใཧʣ • Google Calendarʢ༧ɺਗ਼ཧʣ • ExcelʢՁ֨ͷ࠷దԽͳͲʣ • ༧ཧɺ݅ͷਗ਼ɺήετରԠͳͲશͯ
ϚχϡΞϧͰߦ͏
3͔݄ʙҐʢ1ʣ • ٕज़ސ: 1໊ • ΤϯδχΞ: 1໊ • ϑϩϯτΤϯυ: 1ʙ2໊
3͔݄ʙҐʢ2ʣ • ϕʔεͱͳΔγεςϜͷ։ൃ • γεςϜ͕Ͱ͖Δ·ͰϚχϡΞϧʢঃʑʹஔ͖͑ʣ • ࠷ݶඞཁͳػೳΛ࡞Δʢεϐʔυ࠷༏ઌʣ • ݅ཧγεςϜ •
༧ͷཧγεςϜ • ϝʔϧ, Airbnbͱͷܨ͗͜Έ
3͔݄ʙҐʢ3ʣ • ͱʹ͔͘εϐʔυॏࢹ • εςʔΫϗϧμʔͱΤϯδχΞ͕ίϛϡ χέʔγϣϯ • ػೳ͕ग़དྷ࣍ୈϦϦʔε • όά͕͋ͬͨΒଈ࣌ରԠ
ʙ1Ґʢ1ʣ • ΤϯδχΞ: 2໊ • ϑϩϯτΤϯυ: 1໊
ʙ1Ґʢ2ʣ • ۀҕୗ෦ΛࣾһͰߦ͏Α͏ʹ • νʔϜͱͯ͠ͷ։ൃ։࢝ • SCRUMͷελʔτ • ϦϦʔεαΠΫϧͷඪ४Խ
• ٕज़Ϩϕϧͷෆ౷Ұ(ҧ͏όοΫάϥϯυ) • ֤ϝϯόʔ͕Γ͍ͨํ๏ͰػೳΛ࡞Δ • ଐਓੑ͕େ͖͍ • ٕज़తෛ࠴͕ݟ͑ΔΑ͏ʹͳ͖ͬͯͨ
վળͨ͜͠ͱ • ͷՄࢹԽ • Τϥʔ௨ • ύϑΥʔϚϯεࢹ • ϩάͷू •
Πϯϑϥͷඋ
1ʙ1ʢ1ʣ • ΤϯδχΞ: 5໊ • ϑϩϯτΤϯυ: 1໊ • σβΠφʔ: 1໊
• ϓϩμΫτϚωʔδϟʔ: 1໊
1ʙ1ʢ2ʣ • Ϗδωε͕େ͖͘ͳͬͯདྷͨ • ͞Βʹෳͷϝϯόʔͷ૿Ճ • εςʔΫϗϧμʔͷ૿Ճ • ϓϩμΫτෳʹͳͬͨ
• ӡ༻ίετͷ૿Ճ • ίϛϡχέʔγϣϯίετͷ૿େ • ٕज़తෛ࠴͕ΑΓݟ͑ΔΑ͏ʹͳ͖ͬͯͨ
ղܾํ๏ • ϓϩμΫτϚωʔδϟʔ࠾༻ʢΰʔϧɺ༏ઌॱҐɺίϛϡχέʔγϣϯʣ • ϦϑΝΫλϦϯά • DBઃܭมߋ • ΞʔΩςΫνϟมߋ •
ςετ • ։ൃڥͷඋ • ίʔυϨϏϡʔͷ࣮ࢪʢ2ʙ3࣌ؒʣ • ࣾษڧձ
վળ • ΤϯδχΞ։ൃʹूதग़དྷΔΑ͏ʹͳͬͨ • ៉ྷͳઃܭͰϞνϕʔγϣϯ্͕Δ • ٕज़ʹରͯ͠ΑΓਂ͍͕ٞͰ͖ΔΑ͏ʹͳΔ • ֤ΤϯδχΞ͔ΒͷఏҊ͕૿͑ͯ͘Δ
େࣄʹ͖ͯͨ͜͠ͱ • ༏ઌॱҐΛܾΊΔʢΒͳ͍͜ͱΛܾΊΔʣ • ϘτϧωοΫΛݟۃΊΔ • ࣗಈԽɺ࠷దԽΛਐΊΔ • ఏҊܕͷνʔϜʢखΛڍ͛Α͏ʣ •
Ͳ͜ʹߦͬͯ௨༻͢ΔΤϯδχΞʹͳΖ͏
·ͱΊ • ελʔτΞοϓͷ։ൃָ͍͠ • ձࣾͷεςʔδʹΑͬͯ༏ઌॱҐҧ͏ • ͥͻ࠙ձͰ͓͍ͤͯͩ͘͠͞͞ʂ
એ • ΤϯδχΞืूதʂ
͝੩ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠