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-lt-push-notification
Search
Hirokazu Maruta
December 21, 2017
Technology
44
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
aws-lt-push-notification
AWS勉強会での発表資料。
PUSH通知の構成について登壇しました。
Hirokazu Maruta
December 21, 2017
More Decks by Hirokazu Maruta
See All by Hirokazu Maruta
encryption
mochisuna
0
120
わかった気になるチューリングマシン
mochisuna
0
62
Elementary algorithm
mochisuna
0
30
ssh-dynamic-forward
mochisuna
0
65
ServerlessFramework-Trello
mochisuna
0
36
TechBash Slack Reaction Award
mochisuna
0
51
techbash-clasp
mochisuna
0
100
vuejs-night-publish
mochisuna
0
1.2k
surprise-lt-for-intern-vol-2
mochisuna
0
59
Other Decks in Technology
See All in Technology
Kubernetesにおける学習基盤とLLMOpsの概要
ry
1
240
Claude Code の Sandbox 機能を Anthropic Sandbox Runtime(srt) で試そう!/lets-play-anthropic-sandbox-runtime
tomoki10
1
530
機械学習を「社会実装」するということ 2026年夏版 / Social Implementation of Machine Learning June 2026 Version
moepy_stats
4
1.3k
Android の公式 Skill / Android skills
yanzm
0
120
Djangoユーザが知っ得なPostgreSQL機能 - 設計の選択肢を増やす / Djang-use-PostgreSQL
soudai
PRO
1
230
Oracle AI Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
6
1.5k
2026.06.13_AI時代に事業会社が「SIer出身エンジニア」を求める理由 / Why Businesses Seek Engineers with a System Integrator Background in the AI Era
jumtech
0
1k
10倍の生産性を実現するAI駆動並列エージェントのすべて
kumaiu
5
1.3k
あなたの AI ワークスペースに、 専門コーダーを連れてくる - Amazon Quick Desktop 最新情報
kawaji_scratch
1
130
Amazon Bedrock AgentCore ワークショップ JAWS UG TOHOKU / amazon-bedrock-agentcore-workshop-jawsug-tohoku-2026
gawa
9
650
LLMにもCAP定理があるという話
harukasakihara
0
290
2026 TECHFRESH 畢業分享會 - AI-Native 重塑軟體工程與虛擬講師
line_developers_tw
PRO
0
750
Featured
See All Featured
Leo the Paperboy
mayatellez
7
1.8k
4 Signs Your Business is Dying
shpigford
187
22k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
570
The Curious Case for Waylosing
cassininazir
1
380
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.2k
The #1 spot is gone: here's how to win anyway
tamaranovitovic
2
1.1k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
62
44k
Faster Mobile Websites
deanohume
310
31k
How to Ace a Technical Interview
jacobian
281
24k
A Tale of Four Properties
chriscoyier
163
24k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
170
BBQ
matthewcrist
89
10k
Transcript
AWSͰPUSHΛ͠Α͏ ϒϥβϓογϡ৴Ͱར༻͍ͯ͠ΔAWSߏ ·ΔͨͻΖ͔ͣ
͜͡͠ΐ͏͔͍ ؙాʢ·ΔͨͻΖ͔ͣʣ • ɹ • ϓϥοτϑΥʔϜ։ൃ෦(௨৴νʔϜ) • झຯɿϐΞϊɺϘυήɺΞΠίϯ࡞ʢΧούʣ • ͓ࣄɿAWSɺGoݴޠɺϝϯλʔ
͢͜ͱ • ൪ • ͬͬͬ͘͟ΓҰ࿈ͷྲྀΕ • ϒϥβϓογϡ৴ͷAWSઃܭ • ͍ͨ͠ͱ͜ʢ͕࣌ؒ͋ͬͨΒʣ •
·ͱΊ
ಥͰ͕࣭͢Ͱ͢
ϓογϡ௨ͬͯ ͝ଘͰ͔͢ʁ
Ϣʔβʔ ొ αΠτ ৴ऀ
Ϣʔβʔ ৴ ৴ऀ αΠτ
Ϣʔβʔ ৴ऀ αΠτ
ࢲࣄͰ͕͢
10݄ʹɺϓογϡ௨Λ ϦϦʔε͠·ͨ͠
σϞ
Ͳ͏࣮ͬͯݱ͍ͯ͠Δ͔
ɹɹͷྗΛ ;ΜͩΜʹͬͯ·͢
શମ૾ ৴༧ Ϣʔβʔʹಧ͘ ※ϩάऩूج൫Ҏ֎ ৴ऀ
શମ૾ ৴༧ Ϣʔβʔʹಧ͘ ※ϩάऩूج൫Ҏ֎ શ෦આ໌Ͱ͖ͳ͍ ৴ऀ
ͬͬͬ͘͟Γશମ૾
ػೳͰάϧʔϓ͚ Ϣʔβʔ ৴ऀ ཧը໘ ϩάΠϯ νΣοΫ εέδϡʔϧ༧ ΦϓτΠϯϖʔδ ϒϥβϓογϡ৴
Ϣʔβʔ͕ΦϓτΠϯ Ϣʔβʔ ৴ऀ ϩάΠϯ νΣοΫ ΦϓτΠϯϖʔδ ৴Λड͚औΔ
৴ऀ͕εέδϡʔϧ༧ Ϣʔβʔ ৴ऀ ཧը໘ εέδϡʔϧ༧ ࢦఆ࣌ؒͰ৴༧
༧ͷ࣌ؒʹൃՐ Ϣʔβʔ ৴ऀ εέδϡʔϧ༧ Ϣʔβʔʹϓογϡ͕ಧ͘ ϒϥβϓογϡ৴
Ұ࿈ͷྲྀΕ Ϣʔβʔ ৴ऀ ཧը໘ ϩάΠϯ νΣοΫ εέδϡʔϧ༧ ΦϓτΠϯϖʔδ ϒϥβϓογϡ৴
ࠓճൃද͢Δͷ͜͜ Ϣʔβʔ ৴ऀ εέδϡʔϧ༧ ϒϥβϓογϡ৴ Ϣʔβʔʹϓογϡ͕ಧ͘
ϒϥβϓογϡ৴
͜Ε Ϣʔβʔ εέδϡʔϧ༧ ϒϥβϓογϡ৴ ৴ͷ෦ ৴ऀ
AWSߏ Ϣʔβʔ ৴ऀ
ΑΓৄ͘͠ղ ৴ऀ worker Elastic Beanstalk •LoadBalancer •AutoScaling •EC2
ΑΓৄ͘͠ղ worker ʂ์͓͍ͬͯͯαʔϏε͕ಈ ͘ʂ ৴ऀ
ΑΓৄ͘͠ղ worker ↑ ৴ରऔಘ ↑ ৴αʔϏεʹ ͛Δ ৴ऀ
ΑΓৄ͘͠ղʢதʣ worker தGoݴޠ ৴ऀ
ΑΓৄ͘͠ղʢ࿈ܞʣ worker ElastiCache ʢΩϟογϡʣ SQS ʢΩϡʔʣ ৴ऀ
worker FireBase: Chrome MWP : firefox ΑΓৄ͘͠ղʢ৴ʣ ৴ऀ
AWSߏ Ϣʔβʔ ৴ऀ
εέδϡʔϧ༧
͜Ε Ϣʔβʔ εέδϡʔϧ༧ ϒϥβϓογϡ৴ ༧ͷ෦ ৴ऀ
جຊࢥ εέδϡʔϧ༧ Ϣʔβʔ ༧ ࢦఆ࣌ؒͰൃՐ ৴ऀ
جຊࢥ εέδϡʔϧ༧ Ϣʔβʔ ༧ ࢦఆ࣌ؒͰൃՐ ࣌ؒʹͳͬͨΒ ϒϥβϓογϡΛݺͿ ৴ऀ
εέδϡʔϧ༧ ༧ ৴ऀ
৴࣌ࠁʹൃՐ
৴࣌ࠁʹൃՐ
Lambdaͷ࣋ͪ࣌ؒ
5 ʼ
Lambda5͚ͩɾɾɾ େྔʹૹΔʂ
Lambda5͚ͩɾɾɾ ؒʹ߹Θͳ͍ɾɾɾ
ΈΜͳͰॲཧ͢Ε͜Θ͘ͳ ͍ʂ ॲཧΛׂ ॱ࣮࣍ߦ
εέδϡʔϧ৴
શମ૾ Ϣʔβʔ ৴ऀ
͍ͨ͠ͱ͜ ʢ͕࣌ؒ͋ͬͨΒʣ
Elastic Beanstalk • ͍ͬ͢͝ศརͩΑ
Elastic Beanstalk • ͍ͬ͢͝ศརͩΑ → ͰɺڽͬͨઃఆΛ͢Δͷͱͯਏ͍
Elastic Beanstalk • ͍ͬ͢͝ศརͩΑ → ͰɺڽͬͨઃఆΛ͢Δͷͱͯਏ͍ ebextensions
Elastic Beanstalk • ͍ͬ͢͝ศརͩΑ → ͰɺڽͬͨઃఆΛ͢Δͷͱͯਏ͍ ebextensionsʢ΄ΜͷҰ෦ʣ
Elastic Beanstalk • ࠓͳΒFargate͏ Fargate • ͍͢͝ʢখฒʣ ※ݱঢ়όʔδχΞͷΈ
ElasticCache • ͜Ε࡞ͬͨ࣌DAX͕ͳ͔ͬͨΜͰ͢ɾɾɾ DAX • DynamoDB Accelerator • ΩϟογϡαʔϏε •
DynamoDBͷલஈʹඋ
Lambda • όʔδϣχϯάͯ͠ͳ͍ʢݱࡏʣ • σϓϩΠ࣌ʹώϡʔϚϯΤϥʔ͕ා͍ʢࠓ ʣ • ରࡦ͠ͳ͍ͱʢͳΔͰʣ
Kinesis Firehose • ετϦʔϜͷλΠϛϯάϥϯμϜ • ϩάใͱ͔Ͱॱ൪͕ॏཁͳ߹ζϨΔ → ͪΌΜͱͨ͠ରࡦ͕ඞཁ → ޙͰࠔΔʢ࣮ࡍࠔͬͨʣ
Kinesis Firehose • ετϦʔϜͷλΠϛϯάϥϯμϜ • ϩάใͱ͔Ͱॱ൪͕ॏཁͳ߹ζϨΔ → ͪΌΜͱͨ͠ରࡦ͕ඞཁ → ޙͰࠔΔʢ࣮ࡍࠔͬͨʣ
→ ޙͰࠔΔʢϗϯτࠔͬͨʣ
IAM Role • ໌ࣔతͳڋ൱ͯ͢ͷڐՄʹ༏ઌ • υΩϡϝϯτʹॻ͍ͯ͋Δ •AɿAllow •Bɿɹ- •CɿDeny •AɿAllow
•Bɿɹ- •Cɿɹ- •AɿAllow •BɿDeny •CɿDeny ʴ
IAM Role • ໌ࣔతͳڋ൱ͯ͢ͷڐՄʹ༏ઌ • υΩϡϝϯτʹॻ͍ͯ͋Δ •AɿAllow •Bɿɹ- •CɿDeny •AɿAllow
•BɿAllow •CɿAllow •AɿAllow •BɿAllow •CɿDeny ʴ
ຐԦDeny ͳΜͰౖΒΕͯΔͷ͔͑ͳ͘ͳΔ
IAM Role • ໌ࣔతͳڋ൱ͯ͢ͷڐՄʹ༏ઌ • υΩϡϝϯτʹॻ͍ͯ͋Δ •AɿAllow •Bɿɹ- •CɿDeny •AɿAllow
•BɿAllow •CɿAllow •AɿAllow •BɿAllow •CɿDeny ʴ ཧ༝͕ͳ͍ͳΒ Deny͢Δͳ
CloudFormation ศརʂɾɾɾͰ
CloudFormation ศརʂɾɾɾͰ • ͭΒ͍ʢYAMLʣ • ͭΒ͍ʢ৬ਓൃੜʣ • ͭΒ͍ʢΤϥʔ͑ͳ͍ʣ
CloudFormation ศརʂɾɾɾͰ • ͭΒ͍ʢYAMLʣ • ͭΒ͍ʢ৬ਓൃੜʣ • ͭΒ͍ʢΤϥʔ͑ͳ͍ʣ
·ͱΊ
None
͍͢͝ʢখฒʣ
͍͢͝ʢখฒʣ
Έ߹ΘͤͰ ϓογϡ৴Ͱ͖ͪΌ͏
ଓʑͱྑ͍αʔϏε͕ ग़͖͍ͯͯ·͢
ྑ͍ɹɹɹɹϥΠϑΛʂ
͓͠·͍
·ͱΊ • AWSͰϓογϡ৴Λ։ൃ • αʔϏεͷछྨ͕๛ • Έ߹ΘͤͰເ͕͕Δ • ͍͜ͳ͢·Ͱ͕େม