登壇資料_JAWS-UG_初心者支部_20190417.pdf

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To learn AWS is JAWS-UG ॳ৺ऀࢧ෦ #17 / 2019.04.17 Shogo MuranushiɹABEJA, Inc. Product Owner & Lead Infrastructure Engineer

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ABEJA, Inc. ɹ- Product Owner ɹ- Lead Infrastructure Engineer Shogo Muranushi

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1. ࣗݾ঺հͱ๻ͷ࢓ࣄ 2. ͳͥAWSΛֶͿͷ͔ɻAWSΛֶͿͱͲ͏ͳΔͷ͔ 3. ֶͿʹ͸Ͳ͏͢Ε͹ྑ͍͔ʢϚΠϯυฤʣ 4. AWSೝఆࢿ֨ʹ߹֨͢Δʹ͸Ͳ͏͢Ε͹ྑ͍͔  ʢHow toฤʣ 5. ࢼݧରࡦͷTips ࠓ೔࿩͢͜ͱ

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σʔλ औಘ σʔλ ஝ੵ σʔλ ֬ೝ ڭࢣσʔλ ࡞੒ Ϟσϧ ઃܭ ֶश ධՁ σϓϩΠ ਪ࿦ ࠶ֶश σʔλ΢ΣΞϋ΢ε ͷ४උͱ؅ཧ σʔλͷόϦσʔγϣϯʢਖ਼֬ੑʣͷ֬ೝ 0͔ΒͷϞσϧઃܭ GPU؀ڥͷ४උͱ ߴ౓ͳ෼ࢄԽ σʔλɺϞσϧɺ݁Ռͷόʔδϣϯ؅ཧ ౷ܭతʹຊ൪ʹσϓϩΠͨ͠ॠؒ ͔Βਫ਼౓͕Լ͕Δ͜ͱΛ୲อ େྔσʔλͷऔಘʹඞཁͳAPI΍ෛՙ෼ࢄ ͷ࢓૊Έ΍४උɺηΩϡϦςΟ୲อ ڭࢣσʔλͷ࡞੒ʹඞཁͳπʔϧͱਓࡐͷ४උ ։ൃ؀ڥ͔Βຊ൪؀ڥ΁ͷҾ͖౉͠ ৑௕ੑ΍GPUϦιʔεͷ୲อɺ Τοδଆͱͷ࿈ܞϓϩηεߏங

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Ref: https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf “ As the machine learning (ML) community continues to accumulate years of experience with live systems ” “ ։ൃ͓ΑͼMLγεςϜΛಋೖ͢Δ͜ͱ͸ൺֱతߴ଎Ͱ҆ՁͰ͕͢ɺ࣌ؒΛ͔͚ͯ ͦΕΛҡ࣋͢Δ͜ͱ͸ࠔ೉͔ͭߴՁͰ͋Δ”

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1. ͳͥAWSΛֶͿͷ͔ɻAWSΛֶͿͱͲ͏ͳΔͷ͔

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• ސ٬΁ͷఏڙՁ஋ • গͳ͍࣌ؒͰ࡞ΕΔ • ҰਓͷͰ͖Δ͜ͱ͕૿͑Δ • څྉ • গͳ͍࣌ؒɺਓ਺Ͱߴ͍Ձ஋Λ  ग़ͤΔͨΊ૿͑Δ 1. ͳͥAWSΛֶͿͷ͔ɻAWSΛֶͿͱͲ͏ͳΔͷ͔

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• ৽͍֓͠೦ʹ৮Ε΍͍͢ʢݸਓɾνʔϜͱٕͯ͠ज़౤ࢿ ͠΍͍͢ʣ • Design for Failure, IaC, Microservice, etc…ͳͲͷ৽ ͍֓͠೦ʹ৮ΕΔ͜ͱͰࣗ෼ͷϊ΢ϋ΢ʹͳΓɺࠓ ޙͷۀ຿ʹඞͣ׆͖Δ • Ͱ͖Δ͚ͩຊ൪؀ڥʹ౤ೖ͠ɺࣦഊؚΊֶͯͿ͜ͱ Ͱଟ͘ͷֶͼΛಘΔ͜ͱ 1. ͳͥAWSΛֶͿͷ͔ɻAWSΛֶͿͱͲ͏ͳΔͷ͔

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2-1. ֶͿʹ͸Ͳ͏͢Ε͹ྑ͍͔ʢϚΠϯυฤʣ

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ӭ͍͗ͨʂʂ

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ษڧ͢Δ

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ษڧ͢Δ

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ӭ͛ΔΑ͏ʹͳΔʂʁ

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൱

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·ͣ͸ਫʹਁ͔Δͱ͜Ζ͔Β

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͍ͦͯͣ͠Εӭ͛ΔΑ͏ʹͳΔ

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AWSΛֶͼ͍ͨʂʂ

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ษڧ͢Δ

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͍ͭ͞ΑʹͳΕΔʂ

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൱

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·ͣ͸৮Δʢग़དྷΕ͹ຊ൪౤ೖʣ

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ͦͯ͠Ξ΢τϓοτ

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͍ͭ͞ΑʹͳΕΔ͔΋

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ͱ͸͍͑ސ٬͕ʮ͏Μʯͱݴͬͯ͘Εͳ͍ͱɾɾ ࣗࣾαʔϏεͰಋೖͷʮOKʯ΋ΒΘͳ͍ͱɾɾ

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• େख੡଄ۀʹৗற࣌ ސ٬ʹऔͬͯՁ஋͕ඞͣग़Δͱ৴͡ɺ1೥͔͚ͯ  άϧʔϓձࣾͷࣾ௕Λר͖ࠐΜͰɺઆಘɾఏҊ͠ AWSΛಋೖͨ͠ 2014೥౰࣌ɺେख੡଄ۀͷ৘γε͕ઌߦͯ͠ॳΊͯ AWSΛಋೖ • ”Ձ஋͕͋Ε͹આಘՄೳ” ͳ͜ͱΛֶΜͩ աڈͷܦݧʢఏҊʣ

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• KubernetesΛֶͼ͔ͨͬͨ ຊ൪؀ڥͰֶͼ͔ͨͬͨ ݸਓɾνʔϜʢڧ͍ͯ͸ձࣾry..ʣͷ੒௕ͷͨΊɺ  ଟগͷ௧Έ͸ڐ༰͢Δʢͱ͍͏ݴ͍༁ʣ γεςϜͰ΋࠷ॏཁͳͲͷϓϥΠΦϦςΟΛ෇͚ͯಋೖ • toBͳͷͰʮ “ސ٬ͷސ٬” ͕ࠔΔʯ෦෼ʹ͸ೖΕͳ͍ աڈͷܦݧʢຊ൪ಋೖʣ

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2-2. ৮ͬͨޙ͸ମܥతʹֶͿʢAWSೝఆࢿ֨डݧʣ

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AWSೝఆࢿ֨ͱ͸

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Ϋϥ΢υ  ϓϥΫςΟγϣφʔ ͞·͟·ͳΫϥ΢υ͓Αͼٕज़త໾ׂΛ୲͍ͬͯΔํ͕ AWS Ϋϥ΢υͷ஌ࣝΛ ূ໌͠ɺϓϩϑΣογϣφϧͱͯ͠ͷ৴པΛߴΊΔ͜ͱ͕ՄೳͰ͢ɻ͜ͷࢼݧʹ ͸ɺΫϥ΢υͷ֓೦ɺηΩϡϦςΟɺςΫϊϩδʔɺ੥ٻͱྉۚͱ͍͏ 4 ͭͷ෼ ໺͕͋Γ·͢ɻ ඇΤϯδχΞ ιϦϡʔγϣϯΞʔΩ ςΫτ  ΞιγΤΠτ AWS ͷςΫϊϩδʔΛ࢖༻ͯ҆͠શͰݎ࿚ͳΞϓϦέʔγϣϯΛߏங͓Αͼσϓ ϩΠ͢ΔͨΊͷ஌ࣝΛޮՌతʹূ໌Ͱ͖·͢ɻՄ༻ੑɺ༏Εͨίετޮ཰ɺ଱ো ֐ੑΛඋ͑ɺεέʔϥϒϧͳ AWS ্Ͱͷ෼ࢄγεςϜͷઃܭʹؔͯ͠ɺগͳ͘ͱ ΋ 1 ೥ͷ࣮຿ܦݧͷ͋Δํ͕ର৅Ͱ͢ɻ ΞʔΩςΫτ σϕϩούʔ  ΞιγΤΠτ AWS Λ࢖༻͢ΔΫϥ΢υϕʔεͷΞϓϦέʔγϣϯͷ։ൃɺσϓϩΠɺσόοά ʹ͍ͭͯशख़͍ͯ͠Δ͜ͱΛೝఆ͠·͢ɻ࠷௿Ͱ΋ 1 छྨͷߴਫ४ϓϩάϥϛϯ άݴޠʹ͍ͭͯਂ͍஌ࣝΛ࣋ͪɺAWS ϕʔεͷΞϓϦέʔγϣϯ։ൃ͓Αͼอक ʹؔͯ͠ 1 ೥Ҏ্ͷ࣮຿ܦݧͷ͋Δํ͕ର৅Ͱ͢ɻ ։ൃऀ SysOps  ΞιγΤΠτ AWS ϓϥοτϑΥʔϜͰͷσϓϩΠɺ؅ཧ͓Αͼӡ༻ʹؔ͢Δٕज़తͳઐ໳஌ࣝ Λೝఆ͠·͢ɻAWS ϕʔεͷΞϓϦέʔγϣϯͷӡ༻ʹؔ͢Δ 1 ೥Ҏ্ͷ࣮຿ܦ ݧΛ࣋ͭํ͕ର৅Ͱ͢ɻ ӡ༻୲౰

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ͳͥAWSೝఆࢿ֨ΛऔΔͷ͔ɻϝϦοτ͸ʁ

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• ମܥతʹֶ΂Δ • ࠷௿ݶͷ஌ࣝʢ͓࡞๏ʣΛࣔͤΔ • ੈքͰ௨༻͢Δٕज़ • re:Inventɺւ֎ͷΤϯδχΞͱ࿩ͨ݁͠Ռ • AWS Summit΍re:InventͰݶఆάοζ΍ೝఆϥ΢ϯδʹ ͳͥAWSೝఆࢿ֨ΛऔΔͷ͔ɻϝϦοτ͸ʁ ref: https://tech.nikkeibp.co.jp/atcl/nxt/column/18/00465/101100003/

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• ೔ຊɾੈքͰਓؾࢿ֨ • ೔ܦ x Tech: 2018೥ਓؾ෸ಅͷITࢿ֨ɺऔಘ͍ͨ͠ࢿ֨ϥϯΩϯά 1Ґ • ถάϩʔόϧφϨοδ: Ք͛Δೝఆࢿ֨ Top15 2018೥൛ ͳͥAWSೝఆࢿ֨ΛऔΔͷ͔ɻϝϦοτ͸ʁ ref: https://tech.nikkeibp.co.jp/atcl/nxt/column/18/00465/101100003/ ref: https://itjinzai-lab.jp/article/detail/1006

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3. AWSೝఆࢿ֨ʹ߹֨͢Δʹ͸Ͳ͏͢Ε͹ྑ͍͔  ʢHow toฤʣ

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·ͣਃ͠ࠐΉ • ઈର༗ޮ • ʮ͓ۚ෷ͬͯ͠·ͬͨ͠ʯͱṖͷϞνϕʔγϣϯ͕༙͘ • ͜ΕͰ΋ʮ࠷ѱɺ͓ࣺۚͯͯ΋͑͑ΘʯͬͯࢥͬͪΌ͏ਓ͸ ࠓ͸ແཧͳঢ়ଶɻ࣌ظΛݟͯग़௚͠·͠ΐ͏

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ެࣜαΠτͰࢼݧൣғΛ֬ೝ • डݧऀͷ֓ཁ • ࢼݧͷ֓ཁ • ࢼݧΨΠυͷμ΢ϯϩʔυ • αϯϓϧ໰୊ͷμ΢ϯϩʔυ • https://aws.amazon.com/jp/certiﬁcation/certiﬁed- solutions-architect-associate/

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ษڧํ๏ΛܾΊΔ AWS Innovation AWSࢼݧରࡦຊ ެࣜτϨʔχϯά  (ΦϯϥΠϯಈը) ެࣜυΩϡϝϯτ SlideShare ެࣜτϨʔχϯά  (ΫϥεϧʔϜ) ֓ཁ ެࣜಈը  ୹࣌ؒͰWell- ArchitectedΛֶ΂Δ ެࣜͰ͸ͳ͍͕  ࢼݧରࡦʹಛԽͨ͠ຊ ެࣜΦϯϥΠϯಈը  ࢼݧରࡦҎ֎ͷ৘ใ΋ͨ͘ ͞Μ ެࣜ৘ใ  ໢ཏੑ͕͍ͪ͹Μߴ͍͕ࢼ ݧରࡦҎ֎ͷ৘ใ͕ଟ͗͢ Δ ެࣜΦϑϥΠϯτϨʔχϯά  ࢼݧରࡦҎ֎ͷ৘ใ΋ͨ͘͞Μ Ձ֨ ແྉ ͍҆ ແྉ ແྉ ߴ͍ ൣғ ࢼݧʹԊͬͨWell- Architectedͷઆ໌ ࢼݧͷൣғʹߜΒΕͯ ͍Δ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞Μษڧ Մೳ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞Μษڧ Մೳ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞ΜษڧՄೳ ༻్ ·ͣ͸͜ΕͰWell- ArchitectedΛֶͿ ແବʹษڧ͠ͳ͍Α͏ ʹൣғΛ͔֬ΊΔ ଍Γͳ͍஌ࣝΛʮಈըʯͰ ิ͍͍ͨਓ ଍Γͳ͍஌ࣝΛʮ໢ཏੑʯ Ͱิ͍͍ͨਓ ଍Γͳ͍஌ࣝΛʮਓͱͷτϨʔ χϯάʯͰิ͍͍ͨਓ

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ஶऀͳͷͰʮࢼݧରࡦຊʯΛkwsk • ιϦϡʔγϣϯΞʔΩςΫτ͸3࡭͋Δ

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͓͢͢Ίͷษڧ๏

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͓͢͢Ίͷษڧ๏ • 3࡭ͱ΋ങ͏ • ͔ͦ͜ΒʮԿ౓΋ग़͍ͯΔʯʮ͜͜͸େࣄʯΛநग़ͯ͠ɺϙ ΠϯτΛԡ͑͞Δʢ͍ͭ΋΍ͬͯΔ΍ͭʣ • ໛ٖࢼݧ͕3ഒ͋ΔͷͰ͓ಘ • 3࡭Ͱ͔͔ͨͩ¥8,000ఔ౓ • ਓੜͷ஌ࣝΛ਎ʹ͚ͭΒΕΔͳΒ҆͗͢ΔɻΉ͠Ζ࣌ؒΛ ࿘අ͢Δํ͕໪ମແ͍

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4. ࢼݧରࡦͷTips

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• ͍ͪ͹Μେࣄʂ͜ͷ࿮૊ΈΛϕʔεʹࢼݧ͕࡞ΒΕ͍ͯΔ • Φεεϝ • AWS INNOVATEͰֶ΂Δʢ͕ɺ4/8 ~ 5/7·Ͱɾɾʁʣ • 20180807 AWS Black Belt Online Seminar AWS Well-Architected Framework • ॳΊ͸֓೦Λ஌Δ • ࣍ʹAWSͷαʔϏεΛ஌ΓʮͲͷΑ͏ʹAWS Well-ArchitectedΛ४ڌ͍ͯ͠Δ͔ɺͰ͖Δ͔ʯΛཧղ͢Δ • ࣗࣾαʔϏεΛ1าͣͭ࠶ઃܭ͢Δͷ͕͍ͪ͹Μཧղ͠΍͍͢

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ʢ࠶ܝࡌʣษڧํ๏ΛܾΊΔ AWS Innovation AWSࢼݧରࡦຊ ެࣜτϨʔχϯά  (ΦϯϥΠϯಈը) ެࣜυΩϡϝϯτ SlideShare ެࣜτϨʔχϯά  (ΫϥεϧʔϜ) ֓ཁ ެࣜಈը  ୹࣌ؒͰWell- ArchitectedΛֶ΂Δ ެࣜͰ͸ͳ͍͕  ࢼݧରࡦʹಛԽͨ͠ຊ ެࣜΦϯϥΠϯಈը  ࢼݧରࡦҎ֎ͷ৘ใ΋ͨ͘ ͞Μ ެࣜ৘ใ  ໢ཏੑ͕͍ͪ͹Μߴ͍͕ࢼ ݧରࡦҎ֎ͷ৘ใ͕ଟ͗͢ Δ ެࣜΦϑϥΠϯτϨʔχϯά  ࢼݧରࡦҎ֎ͷ৘ใ΋ͨ͘͞Μ Ձ֨ ແྉ ͍҆ ແྉ ແྉ ߴ͍ ൣғ ࢼݧʹԊͬͨWell- Architectedͷઆ໌ ࢼݧͷൣғʹߜΒΕͯ ͍Δ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞Μษڧ Մೳ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞Μษڧ Մೳ ࢼݧରࡦͰ͸ͳ͍  ࢼݧൣғ֎΋ͨ͘͞ΜษڧՄೳ ༻్ ·ͣ͸͜ΕͰWell- ArchitectedΛֶͿ ແବʹษڧ͠ͳ͍Α͏ ʹൣғΛ͔֬ΊΔ ଍Γͳ͍஌ࣝΛʮಈըʯͰ ิ͍͍ͨਓ ଍Γͳ͍஌ࣝΛʮ໢ཏੑʯ Ͱิ͍͍ͨਓ ଍Γͳ͍஌ࣝΛʮਓͱͷτϨʔ χϯάʯͰิ͍͍ͨਓ

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͕࣌ؒ͋Ε͹؆୯ʹઆ໌ https://www.slideshare.net/AmazonWebServicesJapan/20180807-aws- black-belt-online-seminar-aws-wellarchitected-framework#11

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ͳͥͦͷαʔϏε͕ఏڙ͞Εͨͷ͔Λߟ͑Δ • ͍͍ͩͨ AWS Black Belt Online Seminar ͷ๯಄ʹॻ͍ͯΔ • ΋͘͠͸ɺͦͷαʔϏε͕ͳ͔ͬͨΒԿ͕ࠔΔ͔Λߟ͑Δ • Ϣʔεέʔεͷٯࢉ • s3͕ແ͔ͬͨΒͲ͏ิ͏ʁ • RDS͕ແ͔ͬͨΒͲ͏ิ͏ʁ

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ػೳΛ֮͑ΔͷͰ͸ͳͯ͘ࢥ૝Λ֮͑Δ • ྫ) εϙοτΠϯελϯε • ͳͥ҆͘ͳΔͷ͔ • AZ / ΠϯελϯελΠϓ • Ͳ͏͢Ε͹҆͘ར༻Ͱ͖Δͷ͔ • 1ͭͷΠϯελϯελΠϓΛબͿͷͰ͸ͳͯ͘ɺෳ਺ͷΠϯελϯ ελΠϓ΍AZΛબͿ͜ͱͰՁ֨ߴಅϦεΫ෼ࢄ • ͱ͍͏ػೳ͕ఏڙ͞Ε͍ͯΔ

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ͪͳΈʹɺຊ͸ສೳͰ͸ͳ͍ • ྫ͑͹Proxy΍DNSɺNATɺCDNͳͲͷAWSαʔϏεͷલ ఏͱͳΔٕज़͸෼ྔͷؔ܎Ͱॻ͖͖Ε͍ͯͳ͍ • ຊʹॻ͍͍ͯΔ෦෼Ͱཧղग़དྷ͍ͯͳ͍ͱ͜Ζ͸ɺผ్ࣗ෼ Ͱਂ۷Γͯ͠ௐ΂Δ͜ͱ