Upgrade to Pro — share decks privately, control downloads, hide ads and more …
Sign up for free

AWS 콘서트

Sponsored · SiteGround - Reliable hosting with speed, security, and support you can count on. →
Avatar for Daehyun Kim Daehyun Kim
October 11, 2012
Technology
520
0

AWS 콘서트

Amazon Web Services 소개. Amazon EC2, S3, EMR

Avatar for Daehyun Kim

Daehyun Kim

October 11, 2012

More Decks by Daehyun Kim

See All by Daehyun Kim
사내 Git 저장소 개발 사례
Avatar for Daehyun Kim hatemogi
6
1.1k
김대현
Avatar for Daehyun Kim hatemogi
1
160
EF2011
Avatar for Daehyun Kim hatemogi
2
110

Other Decks in Technology

See All in Technology
初対面のメンバーがチームを組み、Claude Codeでゼロからサービスをリリース
Avatar for k.masachika mkdev10
1
120
アウトプット初心者、半年間のふりかえり
Avatar for aoi 4o1sobblue
0
130
Loop Engineering, beyond prompt, context, and harness engineering
Avatar for Guillaume Laforge glaforge
0
100
自主式軟體工廠
Avatar for philipz philipz
0
260
今こそ知りたいAmplifyGen2
Avatar for k.masachika mkdev10
2
160
二歩目のフロントエンド・ウェブアクセシビリティ
Avatar for KAMIHARA Takumi camiha
2
390
【Data Engineering Summit2026_登壇資料】医療ビッグデータ×AIエージェントを支えるデータ基盤とハーネスエンジニアリング
Avatar for JMDC.Inc 登壇資料 jmdc_presentation
0
130
FOSS4Gを活用した自治体業務DXの試み
Avatar for keikatsu 470715
0
150
不可逆な意思決定を避けながら10億超の顧客データを AI Ready にするデータ基盤設計
Avatar for Yuichiro Yamashita baseballyama
1
310
12 個 Tool と、 4,096 Token
Avatar for ラワンアウンピョウ hlum
0
140
触りたくないデータに、どう触るか AI時代のRBACアクセスガバナンス
Avatar for 株式会社IVRy（社員登壇資料） ivry_presentationmaterials
0
130
10年後、Engineering 行為を剥奪されるとして、わたしたちは、どう、何を創ればいいだろうか。 / If Engineering Is Taken Away in 10 Years, How and What Should We Create?
Avatar for 株式会社ビットキー / Bitkey Inc. bitkey
PRO
1
130

Featured

See All Featured
Into the Great Unknown - MozCon
Avatar for Noah Learner thekraken
41
2.8k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
Avatar for Eileen M. Uchitelle eileencodes
141
35k
Stop Working from a Prison Cell
Avatar for Chris Michel hatefulcrawdad
274
21k
AI: The stuff that nobody shows you
Avatar for John Nunemaker jnunemaker
PRO
10
1.1k
Ethics towards AI in product and experience design
Avatar for Skipper Chong Warson skipperchong
2
420
Designing Powerful Visuals for Engaging Learning
Avatar for Mike Taylor tmiket
1
600
The Success of Rails: Ensuring Growth for the Next 100 Years
Avatar for Eileen M. Uchitelle eileencodes
47
8.4k
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
Avatar for Kenny Baas-Schwegler baasie
1
570
Primal Persuasion: How to Engage the Brain for Learning That Lasts
Avatar for Mike Taylor tmiket
0
500
We Have a Design System, Now What?
Avatar for Morgane Peng morganepeng
55
8.4k
Kristin Tynski - Automating Marketing Tasks With AI
Avatar for Tech SEO Connect techseoconnect
PRO
0
550
The Art of Programming - Codeland 2020
Avatar for Erika Heidi erikaheidi
57
14k

Transcript

  1. "NB[PO8FC4FSWJDFT ֙ਘ ӣ؀അ

  2. ߊ಴ղਊ ௿ۄ਋٘ஹೊ౴ "NB[PO8FC4FSWJDFTࣗѐ &$43%4&.3 ਋ܻоഝਊೡ݅ೠನੋ౟ ࢎղীبੑغݶજਸ݅ೠѪ

  3. ੉ߊ಴ܳٛҊ য૵ݶ ೧Ѿоמೠޙઁٜ ৌब൤

  4. ҾӘ೧ৈ  ҾӘೞݶਗ ౠ੿दр؀ী౟ې೗੉ށ۰ࢲࢲߡо؊೙ਃೠؘ ੌद੸ਵ۽పझ౟ೡѐߊࢲߡо೙ਃೠؘߊ઱߉ইঠೞա ౵ੌਸ੷੢ೞݶ ౟ې೗Ҋ޹হ੉ਢࢲ࠺झೡࣻহա ߔসೞҊࠁҙೞח؊ಞܻೠߑߨ਷হਸө ߎীࢲߡલযبਫ਼ખಞ൤ੜࣻחহա ইפ

    ؊աইоࢲ੢গоউզࣻחহա

  5. ௿ۄ਋٘ஹೊ౴

  6. ௿ۄ਋٘ஹೊ౴ &MBTUJD$BQBDJUZ 'BTUFSUJNFUPNBSLFU /P$BQ&Y 1BZBTZPVHP QBZGPSXIBUZPVVTF 'PDVTPOZPVSCVTJOFTT

  7. "NB[PO8FC4FSWJDFT "84חஹೊ౴ੋ೐ۄܳ௿ۄ਋٘ࢲ࠺झ )JHIMZSFMJBCMF 4DBMBCMF -PXDPTU ੹ࣁ҅աۄ੄ࣻभ݅࠺૑פझীੋ೐ۄ೒ۖಬઁҕ

  8. "84ઁಿ߂ࣛܖ࣌

  9. "84੹୓ઁಿ߂ࣛܖ࣌ IUUQBXTBNB[PODPNLPQSPEVDUT

  10. "84઱ਃઁಿ߂ࣛܖ࣌ "NB[PO&$ &MBTUJD-PBE#BMBODJOH "VUP4DBMJOH "NB[PO&.3 "NB[PO4 "NB[PO&#4 "NB[PO3%4 "NB[PO%ZOBNP%# "NB[PO424

    "NB[PO4&4 "NB[PO$MPVE'SPOU "NB[PO&MBTUJ$BDIF "84%JSFDU$POOFDU "84&MBTUJD#FBOTUBML "84$MPVE'PSNBUJPO "NB[PO$MPVE8BUDI

  11. য়਋ि_੉݆਷Ѣ׮ঌইঠ೤פө /P-JTUFODBSFGVMMZ೙ਃೠѪ݅ ॳݶؾפ׮ #VU ־о"84ী؀೧ফӝೡٸӒ ઺ޖ঺ী؀೧ফӝೞחѪੋ૑ഛੋ ೡ೙ਃח੓णפ׮

  12. "84੄੹ࣁ҅࠙ನ

  13. "NB[PO&$3FHJPO "WBJMBCJMJUZ;POFT "; ֙ୡӝળѐ";

  14. $MPVE'SPOU 3PVUF &EHF-PDBUJPOT DNS Service Content Delivery Dallas St.Louis Miami

    Jacksonville Los

  15. Ӓۢ਋ܻաۄח

  16. о੢оө਍ب௡ө૑੄֎౟ਕ௼ࣘبח IUUQXXXDMPVEQJOHJOGP XHFUIUUQEBVNDMPVETBNB[POBXTDPNSUH[ QJOHQJOHTPPVNF

  17. "845PLZPө૑੄֎౟ਕ௼ࣘب

  18. None

  19. Ӓېࢲ਋ܻաۄীࢲח 5PLZP૑৉ॳݶؾפ׮ ӒܻҊ &EHF੿بחࢤӡࣻب੓૑ঋਸөਃ

  20. "NB[PO&$

  21. "NB[PO&$ "NB[PO&MBTUJD$PNQVUF$MPVE ௿ۄ਋٘੄о࢚ࢲߡ ࢜ࢲߡੋझఢझ঳Ҋࠗ౴ೞחؘࣻᐠࣗਃ पઁࢎਊೠ݅ఀ݅ਃӘ૑ࠛ &MBTUJD#MPDL4UPSF &#4 "VUP4DBMJOH &MBTUJD-PBE#BMBODJOH

  22. "NB[PO&$൱ᠭ਍৔୓ઁ 3FE)BU&OUFSQSJTF-JOVY 6CVOUV 'FEPSB %FCJBO 0SBDMF&OUFSQSJTF-JOVY 8JOEPXT4FSWFS ᄑ

  23. "NB[PO&$ੋझఢझਬഋ 128 64 32 16 8 4 2 1 1

    2 4 8 16 32 64 EC2 Compute Units (HP) Memory (GB) Small 1.7 GB, 1 EC2 Compute Unit 1 virtual core $0.085/0.12 Micro 613 MB Up to 2 ECUs (for short bursts) $0.02/0.03 Large 7.5 GB 4 EC2 Compute Units 2 virtual cores $0.34/0.48 Extra Large 15 GB 8 EC2 Compute Units 4 virtual cores $0.68/0.96 Hi-Mem XL 17.1 GB 6.5 EC2 Compute Units 2 virtual cores $0.50/0.62 Hi-Mem 2XL 34.2 GB 13 EC2 Compute Units 4 virtual cores $1.00/1.24 Hi-Mem 4XL 68.4 GB 26 EC2 Compute Units 8 virtual cores $2.00/2.48 High-CPU Med 1.7 GB 5 EC2 Compute Units 2 virtual cores $0.17/0.29 High-CPU XL 7 GB 20 EC2 Compute Units 8 virtual cores $0.68/1.16 Cluster GPU 4XL 22 GB 33.5 EC2 Compute Units, 2 x NVIDIA Tesla “Fermi” M2050 GPUs $2.10/2.60 Cluster Compute 4XL 23 GB 33.5 EC2 Compute Units $1.60/1.98 ©2011 Amazon Web Services May not be reused or redistributed without written permission

  24. "NB[PO&$ੋझఢझਬഋ߂оѺ 5 PLZP 7 JSHJOJB .&.$16 MPDBMEJTL оѺ दрਘ ಴ળ

    5 (DV( ݅ਗ ಴ળ 5 (DV( ݅ਗ ಴ળ 5 (DV( ݅ਗ ಴ળ 5 (DV( ݅ਗ ؀ਊ۝ݫݽܻ 5 (DV( ݅ਗ ؀ਊ۝ݫݽܻ 5 (DV( ݅ਗ ؀ਊ۝ݫݽܻ 5 (DV( ݅ਗ Ҋࢿמ$16 5 (DV( ݅ਗ Ҋࢿמ$16 5 (DV( ݅ਗ ௿۞झఠ(16 7 (DV( /7*%*"5FTMBt'FSNJu.(16Y ݅ਗ ֫਷*0 7 (DVY(44% ݅ਗ DV_()[0QUFSPOژח9FPO೐۽ࣁࢲࢿמ `  दрੌࢎਊӝળ ݅ਗ޷݅੺࢏

  25. "NB[PO&$оѺ੿଼ ੋझఢझਃӘ 0OEFNBOEJOTUBODFT 3FTFSWFEJOTUBODFT ֙ড੿ ֙ড੿ 4QPUJOTUBODFT झషܻ૑ਃӘ ֎౟ਕ௼ਃӘ

  26. ௿ۄ਋٘➝࠺ਊ੺х

  27. &$ੋझఢझоѺ࢚ࣁ ೞ٘ਝয ؘ੉ఠࣃఠ࢚ݶ࠺ਊ ੹ӝܐ ֎౟ਕ௼੉ਊܐ ਍৔ࢲ࠺झੋ۱ .&.$16 MPDBMEJTL оѺ दрਘ

    ಴ળ 5 (DV( ݅ਗ ಴ળ 5 (DV( ݅ਗ

  28. &$֙֙ড੿ਃӘઁ 5PLZP POEFNBOEࢶѾઁӘহ੉ दр׼੉ਊਃӘ݅૑ࠛ ড੿ઁୡӝ࠺ਊਸࢶѾઁೞҊ दр׼ਃӘਸೡੋ߉਺ MJHIUNFEJVNIFBWZ (DV( ೠ׳ਃӘ POEFNBOE

    ݅ਗ ֙ড੿ ݅ਗ ֙ড੿ ݅ਗ

  29. 6ࢲߡ੄ਘ࠺ਊ ઁݧ؀۽ о੿ ঌ۰૓6ࢲߡ੄਍৔о੿࠺ਊ ࢚ݶױо ੹ӝױо ֎౟ਕ௼ನ౟࠺ਊਘ݅ਗ ೞ٘ਝযо੿࠺ਊ  

      ֙ѐਘਘ݅

  30. ਘ࠺ਊ࠺Ү AWS OnDemand AWS 1֙ড੿ AWS 3֙ড੿ 1U 16 20

    31 58

  31. ੺ডೞ۰ݶ ౠ੿दрীԙ೙ਃೠ݅ఀ੄ࢲߡܳࢎਊೞҊ߈ժ ӝࠄࢲߡ੗ਗਸ֙ড੿ ৘࢚ػೖ௼ఋ੐ਊ੗ਗਸ֙ড੿ਵ۽MJHIUড੿ઁࢲߡ ৘࢚஖ޅೠ౟ې೗ૐоחPOEFNBOEࢲߡܳӒٸӒٸ

  32. ؊੺ডೞ۰ݶ Leverage All Three Models 0 1000 2000 3000 4000

    5000 6000 7000 Reserved Instances On Demand Spot ©2011 Amazon Web Services May not be reused or redistributed without written permission

  33. ౟ې೗؀਽࠺ਊ

  34. য૵ݶ੿੘઺ਃೠ࠺ਊ਷ ੋ۱࠺ਊ %FW0QT ਍৔ੋ۱ ࠺ਊ ੄୭ࣗച ੢গ࠺ਊ

  35. ௿ۄ਋٘࠺ਊ ऴо ੿ഛೠёҙ੸࠺ਊ࠺Үח൨ٜ׮ா߄ா /P੢࠺࠺ਊ੉ԙऱ૑חঋणפ׮ :FTੌदрղղ೙ਃೠ੢࠺ੋоਃ

  36. "NB[PO&#4

  37. "NB[PO&#4 "NB[PO&MBTUJD#MPDL4UPSF #MPDLMFWFMTUPSBHFWPMVNF &$ੋझఢझীোѾ೧ࢎਊ (#_5# ಴ળࠅܬ೐۽࠺ઊ*014ࠅܬ ୭؀ *014 झշࢫࠂઁ 4۽ղࠁղӝоઉয়ӝ

  38. "NB[PO4

  39. "NB[PO4 "NB[PO4JNQMF4UPSBHF4FSWJDF ݒ0CKFDU ֙PSоਊࢿ ੋૐ ঐഐച )5514 #JU5PSSFOU೐۽ష௒ $MPVE'SPOU۽$%/ࢲ࠺झܳࣚऔҊчऱѱഝਊ

  40. ੹ࣁ҅4੷੢0CKFDUࣻ Amazon S3 Adoption Rate: Billions of Objects Stored 2.9

    14 40 102 262 566 0 100 200 300 400 500 600 Q4 2006 Q4 2007 Q4 2008 Q4 2009 Q4 2010 Q3 2011 Peak Requests: 370,000+ per second Doubled in 9 months! ֙2ӝળ রPCKFDUT੷੢ؽ

  41. 4ݒ۱ನੋ౟ ੉੿بन܉بݶ ޺Ҋ੷੢೧بغਗ਼ই ߹بߔস੉೙ਃೡө ➝ࢎۈ੄पࣻח )5514۽௿ۄ੉঱౟о૒੽੽Ӕ ౟ې೗ѣ੿዗

  42. "NB[PO4ࠗоӝמ 6TFSEFGJOFENFUBEBUB 4FSWFSTJEFFODSZQUJPO "DDFTTMPHHJOH 0CKFDUFYQJSBUJPO 0CKFDUWFSTJPOJOH 334 3FEVDF3FEVOEBODZ4UPSBHF

  43. "NB[PO3%4

  44. "NB[PO3%4 "NB[PO3FMBUJPOBM%BUBCBTF4FSWJDF .Z42-0SBDMF42-4FSWFS ੗زࣗ೐౟ਝযಁ஖ ߔস੗زച %#झշࢫ ੗زഐझ౟Ү୓ ࠂઁ

  45. ଵҊ1PTUHSFTPO"84 IUUQFOUFSQSJTFECDPNDMPVEEBUBCBTF

  46. "NB[PO&.3

  47. "NB[PO&.3 "NB[PO&MBTUJD.BQ3FEVDF )BEPPQ௿۞झఠܳ&$ਤীࢲ૊दҳز )BEPPQ௿۞झఠࢸ੿ प೯ ઑ੿ѣ੿዗ :PVsWFHPUUIFEBUB ؘ੉ఋ৬.3௏٘݅ળ࠺ೞࣁਃ

  48. "843FGFSFODF "SDIJUFDUVSFT

  49. None
  50. None
  51. None

  52. "84 ؀୓ޤоજ਷о 

  53. "84઱ਃݒ۱ನੋ౟ ਍৔֢۱୭ࣗച ੢গ؀࠺੗زച पઁ೙ਃ࠺ਊ݅૑ࠛ ೐۽Ӓې߁ઁযоמೠੋఠಕ੉झ ѐߊসޖী૘઺

  54. ੢গ؀࠺৬؀਽

  55. ࢎղഝਊоמࢿ

  56. ࢎղഝਊоמࢿ Ӗ۽ߥ೐۽ં౟೧৻ࢲ࠺झࣘبѐࢶ ੌद੸ѐߊप೷੢࠺ഝਊ ੿ӝ੸#BUDI1SPDFTTJOH ੸੿ӏݽ.BQ3FEVDF੘সীഝਊ Ҋࢿמ(16೐۽ࣁࢲഝਊ

  57. ࢎղഝਊоמࢿ ҅ࣘ ࢎ৻֎౟ਕ௼ীࢲ੄ݽפఠ݂ ౠ੿दр୶о౟ې೗؀਽ উ੹ೞҊ੷۴ೞѱߔসࠁҙ 4(MBDJFS /*4೐۽ં౟

  58. "84ԙॄঠ೤פө

  59. "84ഝਊ੄ࢶఖ ઺ࣗӝসীѱח୭Ҋ ੸੿ӏݽীѱחࢶఖ 4ח੸ӓॄࠅ݅ &.3਷ઙઙഝਊ &$חੌࠗ

  60. "84ࢎਊӝળо੉٘

  61. "84ࢎਊӝળо੉٘ ௿ۄ਋٘ӝࣿ౱ਤఃಕ੉૑ଵҊ

  62. ௿ۄ਋٘ӝࣿ౱

  63. ௿ۄ਋٘ӝࣿ౱ ࢎղ৻௿ۄ਋٘زೱ౵ঈ "84ܳನೣೠ௿ۄ਋٘ࢲ࠺झ੄ࢎղҕध଻օ ࢎղ"1*ా೤೒ۖಬઁҕ ࢎղ1BB4ઁҕ $BB4ѐߊᬊ &4BB4ѐߊ৘੿

  64. ݃ޖܻ "84ח௿ۄ਋٘҅੄ц "84о߈٘दч੉ऴѪ਷ইפ׮ ࢎղীഝਊ೧ࠅ݅ೠನੋ౟о੓׮

  65. хࢎ೤פ׮