普段使ってるインフラ構成などについて

AWSとかDocker諸々基本的なところから

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1. 1 ຽྠҰത ීஈ࢖ͬͯΔΠϯϑϥߏ੒ͳͲʹͭ ͍ͯ
2. 2 ໨࣍ • ࣗݾ঺հ • શମߏ੒ • Docker • CI / AWS ECSσϓϩΠ • CloudFormationʹΑΔઃఆ؅ཧ ࣌ؒ଍Γͳ͍ͷͰলུ͠ͳ͕Βɻɻɻ ؒҧͬͨ͜ͱઆ໌ͯͨ͠ΒऴΘ͔ͬͯ Βͬͦ͜Γڭ͍͑ͯͩ͘͞m(_ _)m
3. 3 ࣗݾ঺հ • ̠ɽ̨ɽϩδϟʔεגࣜձࣾ • ίʔυϨϏϡʔ໺࿠ • ΞϓϦ։ൃ / ΢Σϒ։ൃ / ͦͷଞR&D • ࠷ۙΑ͘࢖͏ݴޠ
 PHP/Ruby/Java/Kotlin/Swift etc Ұॹʹ࡞ͬͨਓ→
4. 4 શମߏ੒
5. 5 Amazon
 Route 53 Application Load Balancer Auto Scaling group web app server web app server Amazon S3 
 bucket CloudFront distribution Amazon
 RDS શମߏ੒ Amazon
 RDS multi-AZ ϝʔϧૹ৴ Τϥʔ؂ࢹ CloudWatch Logs ϩʔΧϧ GitLab Runner GitLab ECS ECR GitLab PhalconPHP(PHP7.x) ϩάղੳ
6. 6 AWSߏ੒ਤ
7. 7 Docker
8. 8 D o c k e r Docker ࣗલͰ։ൃ؀ڥͷ%PDLFSGJMF࡞੒
   ࡞੒ͨ͠*NBHFΛ(JU-BC
   $POUBJOFS
   3FHJTUSZʹQSJWBUFʹอଘ
   %PDLFS$PNQPTFΛ࡞੒
 ˠ
   %#
   
   "QQMJDBUJPO
   
   3FEJT
   
   &MBTUJD4FBSDI4PMS w ։ൃ؀ڥΛॳΊͯࢀՃ͢ΔϦϞʔτͷΤϯδχΞͰ΋3&"%.&͚ͩ Ͱઆ໌ͳ͠ʙ࣌ؒ͘Β͍Ͱߏஙͱ࢖͍ํͷཧղ͕׬ྃ ͦͷ݁Ռ
9. 9 ։ ൃ ؀ڥ ஈ ֊Ͱ ಘ ΒΕͨ ΋ ͷ Docker શһͷ։ൃ؀ڥͷ౷Ұ
 ηοτΞοϓͳͲͷ࣌ؒ୹ॖ
 ςϯϓϨʔτΞϓϦέʔγϣϯΛ࡞੒͢Δ͜ͱͰॳ଎ͷ͋Δ։ൃ
10. 10 ECSσϓϩΠ
11. 11 ج ຊ తྲྀ Ε ECSσϓϩΠ GitLab Runner (CI) GitLab ECR GitLab Auto Scaling group web app server web app server ECS develop push master push ίϯςφ ΠϝʔδΛ push ίϯςφϦϙδτϦ
12. 12 Gi t L a b R u nner ECSσϓϩΠ $*πʔϧɻϊϦ͸$JSDMF$*΍5SBWJT$*Έ͍ͨͳ͔Μ͡
    ઃఆϑΝΠϧ͸ZBNM
    (JU-BCͷQJQFMJOF͔Β
13. 13 E C R ECSσϓϩΠ ίϯςφͷΠϝʔδϦϙδτϦ
    &$3͸&$4ͷϦϙδτϦ͔Β࡞੒
14. 14 E C S ECSσϓϩΠ λεΫఆٛΛ࡞੒
 ίϯςφͷ৘ใͷઃఆ
 %PDLFSΠϝʔδͷઃఆ$16ϝϞϦ
    FUD 
 ΫϥελʔΛ࡞੒
 &$·ΘΓઃఆ
 &$ΠϯελϯελΠϓ&#4
    FUD 
 αʔϏεΛઃఆ͢Δ
 ΫϥελʔͰ࣮ߦͯ͠ҡ࣋͢ΔλεΫఆٛΛઃఆ
 &-#ͷઃఆͳͲ
15. 15 E C S ɿ λ ε Ϋ ECSσϓϩΠ
16. 16 E C S ɿ Ϋ ϥε λʔ ECSσϓϩΠ
17. 17 E C S ɿ Ϋ ϥε λʔ ECSσϓϩΠ
18. 18 E C S ɿ α ʔ Ϗ ε ECSσϓϩΠ ←ΊͬͪΌॏཁ
19. 19 E C S ɿ σ ϓ ϩ Πϝϯτ Φ ϓγϣϯ ECSσϓϩΠ λεΫͷ਺: 4 ࠷খϔϧε཰: 50%ɺ࠷େ཰: 100% [ग़ల] https://aws.amazon.com/jp/ blogs/compute/amazon-ecs- launches-new-deployment- capabilities-cloudwatch- metrics-singapore-and- frankfurt-regions/ λεΫͷ਺ʹैͬͯɺߋ৽࣌ʹλεΫఆٛ ͷΠϯελϯεΛΫϥελʔʹ഑ஔ࣮ͯ͠ ߦঢ়ଶʹ͞ΕΔɻ͜ͷͱ͖4×50%=2୆ͣͭ ߋ৽͞ΕΔɹϩʔϦϯάɾσϓϩΠ
20. 20 E C S ɿ σ ϓ ϩ Πϝϯτ Φ ϓγϣϯ ECSσϓϩΠ λεΫͷ਺: 4 ࠷খϔϧε཰: 100%ɺ࠷େ཰: 200% [ग़ల] https://aws.amazon.com/jp/ blogs/compute/amazon-ecs- launches-new-deployment- capabilities-cloudwatch- metrics-singapore-and- frankfurt-regions/ Πϯελϯε͸8୆·Ͱ࢖͑ΔͷͰɺ 4×100%=4୆͕Ұؾʹߋ৽͞ΕΔ
 ϒϧʔάϦʔϯɾσϓϩΠ
21. 21 E C S ɿ st a g ingͱprod uctio n ECSσϓϩΠ TUBHJOH
 ୆ߏ੒Ͱे෼ͳͷͰɺλεΫͷ਺ɺ࠷খϔϧε཰ɺ࠷େ཰ ͰϩʔϦϯάɾσϓϩΠ
    QSPEVDUJPO
 O୆ߏ੒ͰɺλεΫͷ਺Oɺ࠷খϔϧε཰ɺ࠷େ཰Ͱϩʔ ϦϯάɾσϓϩΠɻαʔϏεεέʔϧͨ͠Β࠷খϔϧε཰ɺ ࠷େ཰ͷϒϧʔάϦʔϯɾσϓϩΠΛ࠾༻ɻ ׬ྃޙ$*͔Β4MBDL΁ ׬ྃ௨஌
22. 22 ͸ · Γϙ Π ϯτ ECSσϓϩΠ &-#Λ͋ͱ͔ΒઃఆͰ͖ͳ͍
    ΞϓϦέʔγϣϯͱ͔Ϛ΢ϯτͯ͠։ൃͯ͠ΔͷͰɺEPDLFS
    DQ͠ ͳ͍ͱσϓϩΠ͞Εͨίϯςφ্ͰΞϓϦέʔγϣϯͷྶѹ͕ফ͑ Δ
    (JU-BC
    3VOOFS͸ࣗલͷαʔόʔͰ༻ҙ͢ΔͷͰɺຖճϏϧυͷͨ ͼʹJNBHF͕ͨ͘͞Μ૿͑ΔɻσϓϩΠऴΘͬͨΒEPDLFS
    SNJ͠ͳ ͍ͱϠόΠɻͲ͏ͤ&$3Ͱอଘ͞Ε·͢͠ɻ
23. 23 Φ ʔ τεέʔϧ ECSσϓϩΠ $MPVE8BUDIͷΞϥʔτϕʔεͰΦʔτεέʔϧͷᮢ஋Λઃఆ
    Ϋϥελʔͷεέʔϧʹ͔͔Δ࣌ؒɿ෼͘Β͍
    &$4αʔϏεͷεέʔϧʹ͔͔Δ࣌ؒɿʙඵ
    ΫϥελʔεέʔϧΞ΢τɿ$16࢖༻཰Ҏ্
    αʔϏεεέʔϧΞ΢τɿ$16࢖༻཰Ҏ্
    ΫϥελʔεέʔϧΠϯɿ$16࢖༻཰ҎԼ
    αʔϏεεέʔϧΠϯɿ$16࢖༻཰ҎԼ
    
24. 24 CloudFormation ࣗಈԽ "84ϦιʔεͷઃఆΛZBNM্ʹఆٛͯ͠؅ཧ͢Δ͜ͱ͕Ͱ͖Δ
    ˠ"84ͷΠϯϑϥઃఆߏஙΛࣗಈԽ
 ྨࣅαʔϏεɿ5FSSB'PSN w "84ͷߏஙͷςϯϓϨʔτΛ࡞੒͢Δ͜ͱͰΠϯϑϥ·ΘΓͷ޻਺ ͕࡟ݮ
    w ZBNMΛHJU؅ཧ͢Δ͜ͱͰΠϯϑϥߏஙͷมߋΛHJUͰ͓͏͜ͱ͕Ͱ ͖Δ ͦͷ݁Ռ
25. 25 AWSߏ੒ਤ
26. 26 CloudFormation ࣗಈԽ ஈ֊ͷZBNMʹ෼͚͍ͯΔ
    
    #BTJPO
    4FSWFS ౿Έ୆αʔόʔ
    ݉$*ͷߏங

    
    
    71$TVCOFUͳͲͷύϥϝʔλઃఆ
    
    4UBHJOH༻ͷ&$43%4ͱύϥϝʔλͷઃఆ
    
    1SPEVDUJPO༻ͷ&$43%4ͱύϥϝʔλͷઃఆ
    ͨͩ͠ɺ"$.ͳͲ͸खಈͷઃఆ͕ඞཁ
27. 27 ͋Γ͕ͱ͏͍͟͝·ͨ͠ (ɾωɾ)ůŢ