Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
これが Cloud Native な セキュリティログ分析だ (仮)
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Masayoshi Mizutani
February 11, 2018
Technology
3.4k
7
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
これが Cloud Native な セキュリティログ分析だ (仮)
Cookpad techconf 2018のLTで講演した資料です
Masayoshi Mizutani
February 11, 2018
More Decks by Masayoshi Mizutani
See All by Masayoshi Mizutani
セキュリティ・キャンプ2026B2 セキュリティ分析LLMエージェントの実装 /seccamp2026-b2
mizutani
8
7.9k
生成AIの利用とセキュリティ /gen-ai-and-security
mizutani
1
2.5k
システム・サービス運用におけるセキュリティ監視の近代的アプローチ /advnet2025-modern-secmon
mizutani
0
180
Deep Security Conference 2025:生成AI時代のセキュリティ監視 /dsc2025-genai-secmon
mizutani
9
6.4k
MCPの基礎とUbieにおける活用事例 /ubie-mcp
mizutani
4
3.3k
クラウドセキュリティのベストプラクティスと実装例 /cloudsec-bestpractice-example
mizutani
9
3.4k
汎用ポリシー言語Rego + OPAと認可・検証事例の紹介 / Introduction Rego & OPA for authorization and validation
mizutani
2
1.4k
Ubieにおけるセキュリティ課題管理の自動化 / ubie-sec-issue-automation
mizutani
0
1.1k
Trivy + Regoを用いたパッケージ脆弱性管理 /trivy-rego
mizutani
7
5k
Other Decks in Technology
See All in Technology
IR Today: Theory, Practice, and Agents
dtunkelang
0
350
並行性の問題を防げ!実践トランザクション入門
occhi
0
260
React Nativeでの OTA Updateって、 どう説明する?
ichiki1023
0
150
事業活動を AI Ready にする攻めと守りのデータエンジニアリング / data-engineering-for-ai-ready-business
pei0804
1
200
ファミコンでPHPを動かす / PHP on the Famicom side b
tomzoh
0
130
BedrockとLambdaで作る リアルタイム進行型推理ゲーム
kawametho
0
190
営業オントロジーの作り方と、エージェントからの辿り方 ── ナレッジワークの現場から
kworkdev
PRO
1
270
[2026 Oracle Technical Deep Dive] VMwareワークロードのOCI移行実践ガイド - OCVSでの継続利用からOCIコンピュートへの移行まで (2026年9月17日開催)
oracle4engineer
PRO
0
120
Codex概要
ymiya55
0
400
KanaAI
shreyas1009
0
150
メルペイ 会計システム概要と歴史
mewuto
0
150
全社共通データ基盤をつくる。ソニーのDatabricks活用とデータガバナンス設計の裏側
sony
0
420
Featured
See All Featured
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
2
2.2k
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
210
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
203
76k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
380
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
3.2k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
3k
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
470
HDC tutorial
michielstock
2
940
Product Roadmaps are Hard
iamctodd
55
13k
Visualization
eitanlees
153
17k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
270
Transcript
ਫ୩ਖ਼ܚ ΠϯϑϥετϥΫνϟʔ෦ ͜Ε͕ Cloud Native ͳ ηΩϡϦςΟϩάੳͩ (Ծ) Cookpad Inc
2018.2.10
ηΩϡϦςΟࢹ ͬͯ·͔͢ʁ 2
CookpadͰؤு͍ͬͯ·͕͢ 3 ηΩϡϦςΟ୲ؾʹͳΔ͜ͱ͕ͨ͘͞Μ ϥϯαϜΣΞ 42-*OKFUJPO EBZ"UUBDL 944 όϥϚΩܕϝʔϧ߈ܸ $43' %SJWFCZ%PXOMPBE߈ܸ
ඪతܕ߈ܸ ηΩϡϦςΟઃఆϛε ύεϫʔυϦετܕ߈ܸ Ϋϥυ্ͷΠϯελϯε 1BB4 ࣾһ͕ར༻͢Δ1$ ΦϑΟεωοτϫʔΫ ֎෦ͱͷϝʔϧ ۀγεςϜ "DUJWF%JSFDUPSZ ΦϯϥΠϯετϨʔδ कΒͳ͚ΕͳΒͳ͍ͨͪ ߈ܸͯ͘͠Δऀͨͪ Ϣʔβͷใ
4 SIEM ʢηΩϡϦςΟؔ࿈ͷϩάɾσʔλΛ͔͖ूΊͯੳ͢ΔϓϩμΫτʣ Security Information and Event Manager ͦ͜Ͱ Ͱ͢Α
5
SIEMΛஔ͚શ෦ղܾͩͱࢥͬͯͨʁ ೦ʂ ɾࢹରͷڥͷߏมߋʹऑ͍ ɾ ϩάૹ৴ݩͷཧ͕େมɺύʔαͱ͔࡞Δඞཁ༗ ɾࣗͷߏมߋۤख ɾ HAઃఆɺεέʔϧΞτɺϥΠηϯεܗଶɺetc ɾϧʔϧͷมߋཧςετ͕ۤख ɾ
ಠࣗUIɺϚχϡΞϧૢ࡞ 6 Ϋϥυڥؔ࿈πʔϧͱ૬ੑ͕͋·ΓΑ͘ͳ͍
7
ͦͦԿ͕͍ͨ͠ͷ͔ʁ 8 SIEMͷػೳ͔ΒৼΓฦΓ
SIEMͷػೳ (1) 9 ϩάͷऩूͱਖ਼نԽ SIEM ɾϩάΛूΊͯॲཧ͍͢͠ܗࣜʹม͢Δ ɾڞ௨͢Δϩάͷଐੑʢ࣌ࠁɺ*1ΞυϨεͳͲʣΛͦΖ͑Δ ϩά ϩά ϩά
SIEMͷػೳ (2) 10 ϩάͷੳΤϯδϯ SIEM ɾूΊͨϩά͔ΒΞϥʔτʹͳΔͷΛݟ͚ͭΔ ɾύλʔϯϚονϩάͷ্͑͛ͳͲ ϩά ϩά ϩά
SIEMͷػೳ (3) 11 ϩάͷอɾݕࡧ SIEM ϩά ϩά ɾूΊͨϩάΛదʹอ͢Δ ɾूΊͨϩά͔ΒඞཁͳใΛݕࡧͰ͖Δ ηΩϡϦςΟ୲
SIEMͷػೳ (4) 12 Ξϥʔτͷൃใ͓Αͼཧ SIEM ɾΞϥʔτ͕ൃੜͨ͠߹ɺ୲ऀʹ௨͢Δ ɾ௨ͨ͠Ξϥʔτ͕ͲͷΑ͏ʹରԠ͞Ε͔ͨه͢Δ ηΩϡϦςΟ୲
·ͱΊΔͱ 13
SIEMΛ࠶ߟ͢Δ 1. ϩάͷऩूͱਖ਼نԽ 2. ϩάͷੳΤϯδϯ 3. ϩάͷอɾݕࡧ 4. Ξϥʔτͷൃใ͓Αͼཧ 14
SIEMͷػೳ
Cloud NativeͰ ྑ͍ײ͡ʹ͍ͨ͠ 15
SIEMΛ࠶ߟ͢Δ 1. ϩάͷऩूͱਖ਼نԽ 2. ϩάͷੳΤϯδϯ 3. ϩάͷอɾݕࡧ 4. Ξϥʔτͷൃใ͓Αͼཧ 16
AWSͷαʔϏε + α Ͱସͯ͠ΈΔ → CloudWatch + Fluentd + S3 + Lambdaແ → Lambdaແ → S3 + Graylog + AWS Athenaແ → PagerDuty + GHEແ
͜͏ͳͬͨ 17 ͜Ε͕ Cloud Native ͳηΩϡϦςΟϩάੳͩ (Ծ) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ
ʜ Lambda Lambda Lambda Kinesis Stream Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ
AWSαʔϏεʴαͰ࡞ΔηΩϡϦςΟࢹΞʔΩςΫνϟ (1/4) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ ʜ Lambda Lambda Lambda Kinesis
Stream Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ ϩάͷऩूͱਖ਼نԽ 18 w ͱʹ͔͘ϩά·ͣ4ʹ͛ࠐΉ w ॲཧͷલஈͰ·ͣอଘ͢Δ͜ͱͰϩά ଛࣦͷࣄނΛ͙ w ϑϧϚωʔδυ͔ͭεέʔϥϒϧͳ4 Λ͏͜ͱͰӡ༻ෛՙΛԼ͛Δ w ϩάͷਖ਼نԽ-BNCEBΛͬͯίʔ υཧˍςετΛॻ͍ͯ$*
AWSαʔϏεʴαͰ࡞ΔηΩϡϦςΟࢹΞʔΩςΫνϟ (2/4) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ Lambda Lambda Lambda Kinesis Stream
Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ ϩάͷੳΤϯδϯ 19 w 4ʹϑΝΠϧ͕อଘ͞ΕͨΠϕϯτΛ͏͚ ͱͬͨ-BNCEB'VODUJPO͕ϩάΛಡΈ ग़ͯ͠ੳ w ੳΤϯδϯΛૄ݁߹ʹઃܭ͢Δ͜ͱͰɺ ༰қʹεέʔϧΞτ w ݕΤϯδϯͷBUUBDIEFUBDIࣗ༝ࣗࡏ w ͪΖΜϧʔϧίʔυཧˍςετ
AWSαʔϏεʴαͰ࡞ΔηΩϡϦςΟࢹΞʔΩςΫνϟ (3/4) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ Lambda Lambda Lambda Kinesis Stream
Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ ϩάͷอɾݕࡧ 20 w ࠷ॳʹΞϥʔτ͕ൃใ͞Εͨࡍ ͷॳಈࠪ(SBZMPHͰࣗ༝ ʹݕࡧඞཁͳϩάͷநग़ w Ξϥʔτ͕ظؒʹ͍ͬͯΔ ͜ͱ͕Θ͔ͬͨ߹ɺ"UIFOB ΛͬͯେྔͷϩάΛݕࡧͯ͠ աڈʹḪͬͨਝͳௐ͕ࠪՄೳ
AWSαʔϏεʴαͰ࡞ΔηΩϡϦςΟࢹΞʔΩςΫνϟ (4/4) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ Lambda Lambda Lambda Kinesis Stream
Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ 21 Ξϥʔτͷൃใ͓Αͼཧ w ΦϖϨʔλͷ௨1BHFS%VUZ 4MBDLΛར༻ w ൃใͱಉ࣌ʹ(JUIVC&OUFSQSJTFʹJTTVFΛν έοτͱͯ͠࡞͠ɺΞϥʔτͷௐࠪʹؔ͢ΔใΛ ूதཧ w ͞Βʹࣗಈతʹ-BNCEB͕Ξϥʔτͷؔ࿈ใΛ֎ ෦αΠτ͔Βݕࡧ͠νέοτʹ͓·ͱΊ͢Δ
ʢ࠶ܝʣ 22 ͜Ε͕ Cloud Native ͳηΩϡϦςΟϩάੳͩ (Ծ) ϩάϑΝΠϧઃஔͷ ΠϕϯτΛݕग़ ʜ
ʜ Lambda Lambda Lambda Kinesis Stream Kinesis Stream S3 S3 S3 S3 Athena ϧʔϧΛ༻͍ͨ Ξϥʔτͷݕ Ξϥʔτͷൃใ ϩάͷม EC2 Elasticsearch Service ߴͰΠϯλϥΫςΟϒͳ ظతϩάͷݕࡧ ظؒʹΘͨΔ ϩάͷݕࡧ GHE PagerDuty Slack Ξϥʔτͷൃใɾཧ Kinesis Stream Ξϥʔτͷௐࠪ CloudWatch Logs/Event EC2 instances ͦͷଞϓϩμΫτ
23 ࣮ࡍͷΦϖϨʔγϣϯͷ༷ࢠ
Cloud Nativeʹ ηΩϡϦςΟࢹΛߏங͢ΔϝϦοτ 24 (1) ϚωʔδυαʔϏεͷར༻ʹΑΓӡ༻ͷফΛ͛Δ (2) طଘαʔϏεͷ͍͍ͱ͜औΓ͕Ͱ͖Δ (3) ίʔυมߋཧˍςετʴCIͱ૬ੑ͕ྑ͍
Thank you 25