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
nds-beanstalk
Search
tannai
October 17, 2015
Technology
2
400
nds-beanstalk
tannai
October 17, 2015
Tweet
Share
More Decks by tannai
See All by tannai
redash patche at dmm
yuukigoodman
0
620
akibago-2018-10-30
yuukigoodman
0
60
serverless-design-and-streaming-date-processing-service
yuukigoodman
0
770
alexa-changes-development-process
yuukigoodman
0
1.3k
VUIとAlexaによるちょっと未来の体験の話2
yuukigoodman
0
700
regrowth2016alexa
yuukigoodman
0
1.1k
Rails App Deployment with CodeDeploy
yuukigoodman
0
1.2k
cognito-userpools-in-production
yuukigoodman
4
8.1k
aws-lambda-in-practice
yuukigoodman
2
1.8k
Other Decks in Technology
See All in Technology
Azure犬駆動開発の記録/GlobalAzureFukuoka2024_20240420
nina01
1
210
MLOpsの「壁」を乗り越える、LINEヤフーの Data Quality as Code
lycorptech_jp
PRO
5
510
開発生産性大幅アップ!Postman VS Code拡張機能
nagix
2
370
Kernel MemoryでAzure OpenAI Serviceとお手軽データソース連携
mitsuzono
1
240
require(ESM)とECMAScript仕様
uhyo
3
530
Google Cloud Next '24でブログを10本書いた方法と勉強会を沸かせた方法
yasumuusan
0
290
Google Cloud の AI を支える裏側のインフラを垣間見る!
maroon1st
0
340
Cloud Native Java with Spring Boot (CNCF Aarhus, April 2024)
thomasvitale
1
170
ChatworkのSRE部って実は 半分くらいPlatform Engineering部かもしれない
saramune
0
160
レガシーをぶっ壊せ。AEONで始めるDevRelの話 / Qiita Night 2024-2-22
aeonpeople
3
1.3k
ここが嬉しいABAC ここが辛いよABAC #再解説+補足編
masahirokawahara
1
270
長期間TiDBを使ってきた話 @ 私たちはなぜNewSQLを使うのかTiDB選定5社が語る選定理由と活用LT / Experiences with TiDB Over Time
chibiegg
2
890
Featured
See All Featured
Adopting Sorbet at Scale
ufuk
68
8.6k
The Brand Is Dead. Long Live the Brand.
mthomps
49
28k
Optimizing for Happiness
mojombo
370
69k
KATA
mclloyd
15
12k
Building an army of robots
kneath
300
41k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
241
1.2M
How To Stay Up To Date on Web Technology
chriscoyier
782
250k
Teambox: Starting and Learning
jrom
128
8.4k
For a Future-Friendly Web
brad_frost
172
9k
Robots, Beer and Maslow
schacon
PRO
155
7.9k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
7
1k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
116
18k
Transcript
͜ͷ#FBOTUBML͔Βͷ ଔۀ
BCPVUNF ࠓͰࡀʂʂ
SF*OWFOUߦ͖ͬͯ·ͨ͠ དྷߦ͖͍ͨ
ࠓ͢͜ͱ w "NB[PO&MBTUJD#FBOTUBML &# ͷհ w &#ͷਏ͍ͱ͜Ζ w &#ͷ5JQT
&MBUJD#FBOTUBMLͱ w "84Λ)FSPLVΈ͍ͨʹ͏ͨΊͷαʔϏε w ϑϨʔϜϫʔΫΈ͍ͨͳͷ w &#ࣗମແྉ w &#͕ૢ࡞ͨ͠"84Ϧιʔεʹରͯ͠՝ۚ
&#͕ͬͯ͘ΕΔ͜ͱ w $MPVE'PSNBUJPOςϯϓϨʔτͷཧͱద༻ w σϓϩΠͷཧ w &$෦ͷϓϩϏδϣχϯά w $MPVE8BUDIͷઃఆ w
3%4&MBTUJ$BDIFΠϯελϯεͷ࡞ͱཧ w ͳͲͳͲ
&#Λ͏ར w ΞϓϦέʔγϣϯ։ൃʹूதͰ͖Δ w "84ΛΒͳͯ͘ɺ"84ΛҰ௨Γ͑Δ w Ҿ͖ܧ͍͗͢ w *".71$͕͑ͯ࠷ߴ w
Πϯϑϥͷίʔυཧ͕Մೳ FCFYUFOTJPOT
͕͜͜ਏ͍Α #FBO4UBML
"84Βͳ͍Ͱ͍ଓ͚Δͱࢮ w ʮཪͰ$'O͍ͬͯΔʯͱ͍͏͜ͱΛΒͣʹ ʮ͜ͷ4UBDLΒΜͳফͦ͏ʯͦͯ͠ࢮ w ҰͬͯΈΑ͏
ṖͷΤϥʔͰࢮ w ಥવͷΤϥʔ &#&YUFSOBM*OWPDBUJPO&SSPS w ϩάΛݟͯશ͘ҙຯෆ໌ w &OWJSPONFOUΛSFCVJME͢ΔͱΔ w
࠶ݱ͠ͳ͍
6OEPDVNFOUFEͰࢮ ʹͦ͏ w υΩϡϝϯτʹॻ͔Ε͍ͯͳ͍ػೳ͕͋Δ w IPPLεΫϦϓτ w FCFYUFOTJPOTͰͷ$'OϥΠΫͳ4(ઃఆ w ᐌ͘ʮαϙʔτʹฉ͍ͨΒڭ͑ͯ͘ΕΔʯ
w ผʹ/%"Ͱͳ͍ 40ʹॻ͍ͯͨΓ͢Δ͠
ͦΜͳʹਏ͍ͳΒ ΊΕ͍͍͡ΌΜ
΄ΜͱͦΕ w Ͱ݁ہ&#Θͳͯ͘ߦ͖ண͘ͱ͜ΖҰॹ w #(σϓϩΠ͕ΫϦοΫͰͰ͖Δͤ w &#͔Βͷଔۀ"84Λิॿྠແ͠Ͱ͑ΔΑ ͏ʹͳΔ w ͦͦϑϨʔϜϫʔΫ͔Β֎ΕͨΒਏ͘ͳΔ
ͷͨΓલ
&#ͷ5JQT
"QQMJDBUJPO&OWJSPONFOU w "QQMJDBUJPO&#ͷجຊ୯ҐɻΞϓϦͷσΟϨΫ τϦݸ w 7FSTJPOσϓϩΠͷ୯Ґɻ&#ʹΑΓ4Ͱཧ ͞ΕΔ w &OWJSPONFOU࣮ߦͷ୯Ґɻ"QQMJDBUJPOͰෳ ݸͷ7FSTJPOΛݸผʹ࣮ߦՄೳɻ
"QQMJDBUJPO&OWJSPONFOU Ұൠ։์"QQ ࣾૢ࡞༻"QQ %FWFMPQNFOU&OW 7FSTJPO 7FSTJPOD /JHIUMZ&OW 7FSTJPO 7FSTJPOD 4UBHJOH&OW
7FSTJPO 7FSTJPOC 1SPEVDUJPO&OW 7FSTJPO 7FSTJPOB
FCFYUFOTJPOT w &#ͷΦϓγϣϯઃఆ͕Մೳ w େͷࣄՄೳɺେମυΩϡϝϯτʹॻ͍ͯΔ w ͕͜͜ංେԽ͢Δͱࢮ w ࣮ߦ࣌ؒ w
݁ہɺൿͷλϨԽͦ͢͠͏
PQUJPO@TFUUJOHT OBNFTQBDFBXTFMBTUJDCFBOTUBMLDPNNBOE PQUJPO@OBNF5JNFPVU WBMVF DPOUBJOFS@DPNNBOET DPNQJMFBTTFUT DPNNBOECVOEMFFYFDSBLFBTTFUTQSFDPNQJMF QBDLBHFT ZVN *NBHF.BHJDL<>
FCίϚϯυͱDSFEFOUJBM w *".ͰDSFEFOUJBM࡞ͯ͠dBXTDSFEFOUJBMTʹ ηοτ <EFGBVMU> BXT@BDDFTT@LFZ@JE"""""" BXT@TFDSFU@BDDFTT@LFZ###### <IPHFEFWFM> BXT@BDDFTT@LFZ@JE$$$$$ BXT@TFDSFU@BDDFTT@LFZ%%%%%
<IPHFQSPE> BXT@BDDFTT@LFZ@JE&&&&& BXT@TFDSFU@BDDFTT@LFZ'''''
FCίϚϯυͱDSFEFOUJBM w FCJOJU࣌ʹQSPpMFΛࢦఆ FCJOJUQSPpMFIPHFEFWFM FCMJTU IPHFEFWFMBQQ IPHFEFWFMBQQ FCJOJUQSPpMFIPHFQSPE FCMJTU IPHFQSPEBQQ
IPHFQSPEBQQ
%PDLFS͍͍ͨʂ w %PDLFS4UBDL͋ΔΑ w .VMUJ$POUBJOFS%PDLFS4UBDL͋ΔΑ w ͜ͷ߹&$4͕όοΫΤϯυʹͳΔ w ·͋݁ہ&$ w
ωοτϫʔΫىҼͰ5JNFPVU͍͢͠ͷͰҙ w ྑ͍ΠϯελϯεΛ͏ ωοτϫʔΫ͘ͳΔ w ΠϝʔδαΠζ͕খ͘͞ͳΔΑ͏ʹ%PDLFSpMFΛ
+PC2VFVF8PSLFS͍͍ͨʂ w ͔ͤͬ͘"84͔ͩΒ424͓͏ w PSLFS5JFSͳΒ؆୯ w TRTE͕Α͠ͳʹϙʔϦϯάͯ͠ϦΫΤετ w ΞϓϦΤϯυϙΠϯτΛ࡞Δ͚ͩͰ0, w
ઐ༻ͷ&$ΠϯελϯεͳͷͰ͓͔͔ۚΔ
*1ΞυϨεʹΑΔΞΫηε੍ݶ w FCFYUFOTJPOT͔Β4FDVSJUZ(SPVQTઃఆՄೳ w 6OEPDVNFOUFEFCFYUFOTJPOTͰ$'Oతʹ w FCFYUFOTJPOTOHJOY w ελοΫʹΑͬͯ/HJOY͕ಈ͍͍ͯͳ͍ʂ
3FTPVSDFT "84&#-PBE#BMBODFS4FDVSJUZ(SPVQ 5ZQF"84&$4FDVSJUZ(SPVQ 1SPQFSUJFT (SPVQ%FTDSJQUJPO5IJTJTEFTDSJQUJPO 4FDVSJUZ(SPVQ*OHSFTT \$JES*Qlz *Q1SPUPDPMUDQ 'SPN1PSU 5P1PSU^
"84FDVSJUZ(SPVQ 5ZQF"84&$4FDVSJUZ(SPVQ 1SPQFSUJFT (SPVQ%FTDSJQUJPO5IJTJTEFTDSJQUJPO 4FDVSJUZ(SPVQ*OHSFTT \$JES*Qlz *Q1SPUPDPMUDQ 'SPN1PSU 5P1PSU^
%#Λ&#ཧʹ͠ͳ͍ w ػೳͱͯ͠Մೳɻ࣮ࡍ͍Ζ͍Ζݟ͍͢ɻ w Ͱ&OWJSPONFOUΛফ͢ͱҰॹʹফ͑ͯ͠·͏ w ෳ&OWJSPONFOU͔Βಉ͡3%4ΛࢀরͰ͖ͳ͍ w ߴίετ w
$/".&4XBQ #(%FQMPZ ࣌ʹඒຯ͘͠ͳ͍ʁ w ଓใΛڥมͰͦ͏ 'BDUPS
IPPLT w 6OEPDVNFOUFE w PQUFMBTUJDCFBOTUBMLIPPLT ҎԼʹεΫ ϦϓτΛઃஔ͢ΔͱΑ͠ͳʹ࣮ߦͯ͘͠ΕΔ w ࣮ࡍʹݟͯΈΑ͏
ṖΤϥʔͷରॲ w "84ϑΥʔϥϜ͕ྑ͍ w GPSVNTBXTBNB[PODPN w 40ʹԿ͔͋Δ͔ w υΩϡϝϯτΛݟ͢ w
υΩϡϝϯτΛޡղ͠ͳ͍ w ӕ͕ॻ͍ͯ͋ΔΘ͚Ͱͳ͍ͷͰ
։ൃνʔϜҎ֎"84ʹ৮Δ߹ w ϙϦγʔܾΊ͕ॏཁ w &#͔Β"84Λཧ͢Δ͔ w $'OͰϦιʔεͱͯ͠&#Λ࡞͢Δ͔ w ͑ແ͍͠ɺέʔεόΠέʔεͰ͢ w
ٕज़తͳཁૉҎ֎ʹɺ৫ϏδωεͳͲΛߟ ྀͨ͠Γ
ۙگ
$'OσβΠφ͕ϦϦʔεʂ
࣍ͷҊ݅͜ΕͰʜ