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
AWS認定 ソリューションアーキテクトアソシエイトを受けてきた話
Search
Hirokazu Sugiuchi
February 09, 2018
Technology
1
380
AWS認定 ソリューションアーキテクトアソシエイトを受けてきた話
社内勉強会
Hirokazu Sugiuchi
February 09, 2018
Tweet
Share
More Decks by Hirokazu Sugiuchi
See All by Hirokazu Sugiuchi
FFLT_12.pdf
critical_alert
0
70
Hue で始める おうちハック入門
critical_alert
1
2.2k
Blue/Green deploymentへの道のり
critical_alert
1
130
入門Let's Encrypt
critical_alert
2
2.4k
Mackerelでサーバ監視はじめた話
critical_alert
0
1.7k
Other Decks in Technology
See All in Technology
Running JavaScript within Ruby
hmsk
3
350
日経電子版 for Android の技術的課題と取り組み(令和最新版)/android-20250423
nikkei_engineer_recruiting
0
420
AWS Control Towerを 数年運用してきての気づきとこれから/aws-controltower-ops-tips
tadayukinakamura
0
160
JPOUG Tech Talk #12 UNDO Tablespace Reintroduction
nori_shinoda
2
150
LangfuseでAIエージェントの 可観測性を高めよう!/Enhancing AI Agent Observability with Langfuse!
jnymyk
1
240
生成AIによるCloud Native基盤構築の可能性と実践的ガードレールの敷設について
nwiizo
7
1k
watsonx.data上のベクトル・データベース Milvusを見てみよう/20250418-milvus-dojo
mayumihirano
0
120
От ручной разметки к LLM: как мы создавали облако тегов в Lamoda. Анастасия Ангелова, Data Scientist, Lamoda Tech
lamodatech
0
760
白金鉱業Meetup_Vol.18_AIエージェント時代のUI/UX設計
brainpadpr
1
170
持続可能なドキュメント運用のリアル: 1年間の成果とこれから
akitok_
1
200
SDカードフォレンジック
su3158
1
630
Bazel for Ruby (RubyKaigi 2025)
p0deje
0
100
Featured
See All Featured
BBQ
matthewcrist
88
9.6k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
23
2.6k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
160
15k
Building Adaptive Systems
keathley
41
2.5k
Building a Modern Day E-commerce SEO Strategy
aleyda
40
7.2k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
60k
The Invisible Side of Design
smashingmag
299
50k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
34
2.2k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
Speed Design
sergeychernyshev
29
900
Learning to Love Humans: Emotional Interface Design
aarron
273
40k
A Modern Web Designer's Workflow
chriscoyier
693
190k
Transcript
AWSೝఆ ιϦϡʔγϣϯΞʔΩςΫτ ΞιγΤΠτΛड͚͖ͯͨ 2018/02/09 Hirokazu Sugiuchi
Θͨ͠Ͱ͢ • ਿ • @critical_alert(twitter/hatena) • Πϯϑϥ୲ • ࠷ۙͷΈ •
टͱഎத͕௧͍
None
ΊͰ͍ͨ
AWSೝఆιϦϡʔγϣϯΞʔ ΩςΫτ-ΞιγΤΠτʁ
AWS ͷࢼݧͰ͢Ͷ AWS ͷ͕ࣝΘΕ·͢
͜ͷล Ұ൪ϕʔγοΫͳͭͩͱࢥ͍·͢
ࠓि 2/6 (Ր) ʹ ࢼݧड͚͖ͯ·ͨ͠ (ݸਓ OKR ʹઃఆͯ͠·ͨ͠)
݁Ռ…
߹֨Ͱ͖·ͨ͠ ㊗ Hirokazu Sugiuchi AWS Certified Solutions Architect - Associate
2018-02-06 2020-02-06 Validation Number 48BXB7C2BEB419K5 Validate at: http://aws.amazon.com/verification
૯߹ධɿ 85% τϐοΫϨϕϧείΞϦϯάɿ 1.0 Designing highly available, cost-efficient, fault-tolerant, scalable systems: 84% 2.0 Implementation/Deployment: 66%
3.0 Data Security: 90% 4.0 Troubleshooting: 100%
65% Ҏ্Ͱ߹֨ͱ͍͏͕ᷚ͋ ΔͷͰ༨༟Λ࣋ͬͯ߹֨Ͱ͖ ͨͣ ٖࢼݧͰ૯߹70%ͩͬͨ
མͪͨΒམͪͨͰωλʹͳͬ ͨͱࢥ͏ͷͰྑ͠ → AWS ษڧձͰ͕ΜΖʂ ͷྲྀΕ
ͳͥड͚Α͏ͱࢥ͔ͬͨ
͍Ζ͍Ζཧ༝͋Γ·͕͢
ݴ͏͜ͱʹઆಘྗ͕ग़Δ
ͱ͍͏ͷ
ਓʹ৴པ͞ΕΔΤϯδχΞʹ ͳΓ͍ͨ
৴པ͍Ζ͍Ζ͋Δ͚Ͳ • ٕज़ྗ • ίϛϡέʔγϣϯྗ • ࣌ؒཧͱ͔ࣄͷૣ͞ͱ͔ʁ
ٕज़໘Ͱͷ৴པ͞ΕΔཁૉͷ 1ͭʹͳΔͱࢥͬͨ
◦◦ͳΒ͜ͷਓʹ͓͚ͤͯ ͍͍ײ͡ʹͳΔͩΖ͏ తͳ
ࣗͷελϯεͰ͕͢ɺಘҙ ͳͱ͜ΖΛ1ͭ࡞͔ͬͯͦ͜Β গͮͭͦ͠ͷྖҬΛ૿ͯ͠ ͍͖͍ͨ
ͦͷಘҙͳͱ͜ΖΛୈࡾऀࢹ ͰධՁͯ͠Β͍͔ͨͬͨ
ࣗͷ͖ͬͯͨ͜ͱษڧ ͨ͜͠ͱͷ֬ೝతͳͱ͜Ζ͕ ڧ͍
ࢿ֨ΑΓ࣮Έ͍ͨͳͱ͜Ζ ͋Δ͚Ͳɺ࣮ʹ͍ۙ͠( ؔ࿈͍ͯ͠Δ)ࢿ֨Ͱ͋Ε ༗༻ɺͱࢥ͏
࠷ۙ໘ͱ͔ͯͯͬ͠ͺΓ ࢿ֨࣋ͬͯΔͷΛΈΔͱ͕ ૣ͍ͱ͍͏͔ࠩ͠ͷҰͭʹ ͳͬͯΔͳͱײ͡Δ ࣗΛ͋·ΓΒͳ͍ਓͷઆ໌ͷγϣʔτΧοτʹͳΔ͔ͳ
ɹΤϯδχΞίʔυ Blogɹ ͱ͔ͰΞτϓοτ͍͢͠ Ͱ͕͢ɺͦΕͷิڧͱͯ͠
࣮ࡍऔಘͯ͠Έͯࣗͷࣝ ͷ࠶֬ೝ͕Ͱ͖ͨ͠ɺ ͪΐͬͱࣗ৴͍ͭͨ
͋ͱಛయ
AWS summit Ͱࢿ֨ॴ࣋ऀͷΈ ͕ೖΕΔϥϯδ͕͑Δʂʂ https://dev.classmethod.jp/ cloud/aws-summit- tokyo-2017-lounge/
ඬ͏ VIP ײ
ϙΤϜऴΘΓ
ͬͨษڧ
AWS Black Belt ͷεϥΠυΛ ಡΈ·͘Δ https://aws.amazon.com/jp/aws-jp-introduction/
ٖࢼݧΛΔ(2160ԁ)
20ग़ͯ͘Δ Λ௫ΉͨΊʹͬͨ ΄͏͕͍͍
ಡΜͩຊ
Amazon Web Services جૅ͔Βͷωοτ ϫʔΫˍαʔόʔߏங վగ൛ https://www.amazon.co.jp/dp/ B06Y5ZSYY4/ ڈͷݚमͰ༻
Amazon Web Services ύλʔϯผߏஙɾӡ ༻ΨΠυ https://www.amazon.co.jp/dp/ 4797382570/ ΞιγΤΠτͷൣғ͕ཏ͞ΕͯΔ(2015 ͱͪΐͬͱݹ͍͚Ͳϕʔεͷ෦มΘΒͳ ͍ͷͰ༗༻ͱࢥ͏)
߹֨ରࡦ AWSೝఆιϦϡʔγϣϯΞʔΩςΫτ - ΞιγΤΠτ https://www.amazon.co.jp/dp/486594043X ೦ͷͨΊɻ1͘Β͍ͰಡΊΔɻͬ͘͞ͱಡΜͰ͓ ͞Β͍ɻষͷશ෦ղ͘
Q. ࣮ࡍʹAWSΛ৮ͬͨ΄͏͕ྑ͍?
A. ྑ͍ͱࢥ͍·͢
7ͭͷϕετϓϥΫςΟε • ނোʹඋ͑ͨઃܭͰোΛճආ • ίϯϙʔωϯτؒΛૄ݁߹Ͱॊೈʹ • ৳ॖࣗࡏੑΛ࣮ • ͯ͢ͷͰηΩϡϦςΟΛڧԽ •
੍ΛڪΕͳ͍(ΦϯϓϨͷΑ͏ͳϦιʔε੍ݶͳͲ) • ॲཧͷฒྻԽΛߟྀ • ͞·͟·ͳετϨʔδͷબࢶΛ׆༻
ͦͷଞࡶଟͳײू
ࡶײू1 • AWS Λ͏্Ͱͷʮߟ͑ํʯΈ͍ͨͳͷ͕Θ͔ͬ ͍ͯΕͦ͜·Ͱ͘͠ͳ͍ͣ(ͨͿΜ) • ͜ͷαʔϏεԿʹ͏ͷ͔ɺಛͱϢʔεέʔ εΛ͓͓͑ͯ͘͞ • ͜ΜͳΞϓϦέʔγϣϯͷ࣌ʹͲΜͳߏɺαʔ
ϏεɺΠϯελϯεΛ͍͍͑ͷ͔
ࡶײू2 • IAM ηΩϡϦςΟɺ҉߸ԽपΓ͔ͬ͠Γ • ΦϯϓϨͱ AWS ͷܨ͗ࠐΈɺNAT ͷߏ •
ίετײͷѲ(͍ͭͲΜͳλΠϛϯάͰൃੜ͢Δ͔) • ͜͏͍͏߹ͲΜͳߏ͕͍͍͔ɺίετޮ͕Ұ ൪ྑ͍ͷͲΕ͔ɺΈ͍ͨͳͱ͜Ζ͕ଟ͘ग़͞Εͨ
ࡶײू3 • ΘΓͱΦϯϓϨϛεͰͬͯΔΤϯϓϥͷਓͨͪʹड ͚͍ͤͨ͞ͷ͔ͳʁͱࢥͬͨ • ͍ΘΏΔΦϯϓϨ͔ΒΫϥυʹγϑτ͢Δඞཁ ͕͋Δ • web αʔϏεͰ
AWS ΨϯΨϯͬͯΔΑ͏ͳਓͨͪ ͔Β͢Δͱී௨ͷ͜ͱͱͯ͠ೝ͍ࣝͯ͠Δͱ͜Ζଟ ͍ͱࢥ͏
Next
ιϦϡʔγϣϯΞʔΩςΫτ ϓϩϑΣογϣφϧʁ σϕϩούʔ ΞιγΤΠτʁ
Զͨͪͷઓ͍͜Ε͔Βͩʂ → #study-aws-examination
͓ΘΓ
ͭ͠Μʁ
EC2,VPC,S3,RDS,CloudWat ch,IAM,CloudTrail,ELB,Auto Scaling,SQS,SNS,CloudFron t,Route53,CloudFromation, ElasticBeanstalk,OpsWorks, DirectConnect