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
マルチクラウドな大規模サービスKARTEを支えるDatadog/multi-cloud mon...
Search
Daiki Matsui
November 13, 2019
Technology
2.7k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
マルチクラウドな大規模サービスKARTEを支えるDatadog/multi-cloud monitoring with Datadog
Datadog Summit Tokyoでの登壇資料です。
動画は
https://www.youtube.com/watch?v=_Z4HBiwODbc
Daiki Matsui
November 13, 2019
More Decks by Daiki Matsui
See All by Daiki Matsui
The Fourth Age of SRE
ikemonn
0
950
Multicloud deploy with Spinnaker / builderscon tokyo 2018
ikemonn
2
4.9k
KARTE を支えるマルチプラットフォームインフラ監視 /karte-multi-platform-monitoring
ikemonn
2
16k
Node Apps Performance Tuning
ikemonn
0
160
Other Decks in Technology
See All in Technology
しろおびから始める!ログ活用の第一歩
shumei_ito
0
950
実践!Cloud Run ハンズオン!! / Cloud Run handson
y0hgi
2
280
JAWS-UGグッズ職人仕事の流儀
kentapapa
0
110
AIカンパニーへの転換を支えた、エンジニアの仕事の再定義
kworkdev
PRO
2
1.3k
AI時代のPRレビューにどう向き合うか?
kairim0
1
240
「Docker Desktop不要の時代」は 来たのか?
ueponx
0
780
オントロジーって 結局なにもの? AI エージェントに「意味」を渡す知識設計の話
greenmidori
0
220
1つのリクエストを追って理解する - llm-dのP/D分離
akhino
1
160
無理せず続ける、子育てエンジニアの学び
codmoninc
PRO
0
900
Benchmarking Disaggregated Serving on vLLM + Dynamo with a Real Coding-Agent Workload
nttcom
1
190
パスキーの自動テストはどこまでいけるのか
teamlab
PRO
0
260
SAENM ~Jupyterで残すPoCの試行錯誤、未来の自分と仲間を助ける記録!~
terapyon
0
110
Featured
See All Featured
Optimising Largest Contentful Paint
csswizardry
37
4k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
360
Automating Front-end Workflow
addyosmani
1369
210k
Ruling the World: When Life Gets Gamed
codingconduct
0
400
Test your architecture with Archunit
thirion
2
2.4k
Design in an AI World
tapps
1
350
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
530
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
1
450
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.7k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
460
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
310
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
74
43k
Transcript
1 ϚϧνΫϥυͳେنαʔϏε KARTEΛࢧ͑ΔDatadog ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo
2019ɹɹʛɹ PLAID, Inc. Daiki Matsui
2 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ࣗݾհ
দҪ େٍ גࣜձࣾϓϨΠυ SRE Senior Architect 2012-2015·ͰגࣜձࣾαΠόʔυʹͯήʔϜ։ൃʹैࣄ 2015ΑΓϓϨΠυʹࢀը͠ɺSREͱͯ͠ϚϧνΫϥυΠϯϑϥͷߏஙɾӡ༻Λ୲ 2015ೖࣾ
ɹɹʛɹɹ© 2019 PLAID Inc. 3 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ גࣜձࣾϓϨΠυʹ͍ͭͯ
גࣜձࣾϓϨΠυ ౦ژதԝ۠ۜ࠲6-10-1 GINZA SIX 10F ઃཱɿ201110݄ ैۀһɿ130໊ ࢿຊۚɿ149,987,878ԁ ※ࢿຊ४උؚۚΉ
4 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. KARTEʹ͍ͭͯ
֬ೝ͢Δ جຊαʔϏε͝ར༻ํ๏Λ͝հ͠·͢ɻ ͓ಘͳಛయཱͭใ͕ຬࡌͰ͢ɻ ॳΊͯͷํ ְתּׅ然钠ׅ 6*رؠ؎ش٦ֽוזַזַ♳麦׃זְծ➙ ״إٔؗ،حف׃ְהְֲ倯䗳铣דׅկ UIرؠ؎ش٦ָ濼גֶֻץֹ 7אךرؠ؎ٕٝ٦ٕ DESIGN RULES » CHECK ׆ה⢪ִ،؎ذيֽ䲧ִת׃կ ֿך堣⠓ֶ鋅鷕׃זֻկ 窫㼎ծ 妜׃ְ ౙͷओɺ Ξλʔ COLLECTION OUTER 嗚稊勴⟝㼰׃㢌刿ֽׅדծ֮זך椚 䟝ך暟⟝ח⳿⠓ִ〳腉䚍ָ넝ֻזתׅկ 勴⟝㢌ִג嗚稊׃גגְֻׁկ ׀䋞劄ך暟⟝כ 鋅אַתׇד׃ַ ꟗׄ ҰਓҰਓʹ߹Θͤͨ ސ٬ମݧΛఏڙ WebαΠτͷ๚ऀͷߦಈΛ ސ٬͝ͱʹϦΞϧλΠϜʹղੳ $9 ސ٬ମݧ ϓϥοτϑΥʔϜ
5 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ͢͜ͱ
KARTEͷಛ KARTEΛࢧ͑ΔࢹͷϙΠϯτ ࠓޙΓ͍ͨ͜ͱ 1 2 3
6 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ͢͜ͱ
KARTEͷಛ KARTEΛࢧ͑ΔࢹͷϙΠϯτ ࠓޙΓ͍ͨ͜ͱ
7 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ ͢͜ͱ →
8 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ ͢͜ͱ →
9 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. Ϛϧνςφϯτ
ɹɹʛɹɹ© 2019 PLAID Inc. 10 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɾ༷ʑͳෛՙͷ͓٬͞Μ͕͍Δ
ɾΞΫηεύλʔϯ৭ʑ Ϛϧνςφϯτ
ɹɹʛɹɹ© 2019 PLAID Inc. 11 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɾෛՙ͕1Ͱ10ഒมԽ͢Δ
ɾηʔϧͰෛՙ͕ٸ૿͢Δ Ϛϧνςφϯτ 1ͷෛՙਪҠ
12 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ ͢͜ͱ →
13 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ϨΠςϯγʔɺߴෛՙ
sec to real-time actions 0.x events per day 3 billion stored in BigQuery 2+ PB events (rows) / sec 65,000 streaming insert per month 1 PB analysis per month 60+ PB SRE 3 ϨΠςϯγʔ/ߴෛՙ
14 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ϨΠςϯγʔɺߴෛՙ
sec to real-time actions 0.x events per day 3 billion stored in BigQuery 2+ PB events (rows) / sec 65,000 streaming insert per month 1 PB analysis per month 60+ PB SRE 3 ϨΠςϯγʔ/ߴෛՙ
15 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ϨΠςϯγʔɺߴෛՙ
16 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ϨΠςϯγʔɺߴෛՙ
sec to real-time actions 0.x events per day 3 billion stored in BigQuery 2+ PB events (rows) / sec 65,000 streaming insert per month 1 PB analysis per month 60+ PB SRE 3 ϨΠςϯγʔ/ߴෛՙ
17 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ ͢͜ͱ →
18 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. େنγεςϜ
19 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ ͢͜ͱ →
20 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ϚϧνΫϥυߏ
ɹɹʛɹɹ© 2019 PLAID Inc. 21 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ Pros
1. ֤ϓϩόΠμʔͷྑ͍ͱ͜औΓ͕Ͱ͖Δ 2. ϓϩόΠμʔͷোΛผϓϩόΠμʔͰΧ όʔͰ͖Δ Pros/Cons ϚϧνΫϥυߏ Cons 1. ӡ༻ͷख͕ؒ૿͑Δ
ɹɹʛɹɹ© 2019 PLAID Inc. 22 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ৄࡉΛΓ͍ͨํ
ʮσϒαϛ 2018ʯͷࢿྉͰʂ ϚϧνΫϥυߏ https://speakerdeck.com/tikson/zhan-lue-topointonituite
23 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ͢͜ͱ
KARTEͷಛ KARTEΛࢧ͑ΔࢹͷϙΠϯτ ࠓޙΓ͍ͨ͜ͱ ✓
KARTEΛࢧ͑ΔࢹͷϙΠϯτ 24 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ
ɾϦΞϧλΠϜੑ ɾॊೈੑ ɾεέʔϥϏϦςΟ ɾ҆ఆੑ
25 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEͷಛ
→ 1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ
26 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEΛࢧ͑Δ
ࢹͷϙΠϯτ 1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard ͢͜ͱ →
27 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ →
1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard 1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ
ɹɹʛɹɹ© 2019 PLAID Inc. 28 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ োରԠ࣌ʹDatadogΛݟΕ
͙͢ʹঢ়گΛѲͰ͖ΔΑ͏ʹ Datadogʹશͯू
29 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEΛࢧ͑Δ
ࢹͷϙΠϯτ ͢͜ͱ → 1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard
30 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ →
1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard 1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ
ɹɹʛɹɹ© 2019 PLAID Inc. 31 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ 32M/mon
΄Ͳར༻ Custom metricsͷੵۃ׆༻
Custom metricsͷੵۃ׆༻ 32 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo
2019ɹɹʛɹ https://github.com/makinoy/libs-dogstatsd ɾlibs-dogstatsdͰɺ؆୯ʹॲཧͷ࣮ߦճ ࣮ߦ࣌ؒΛଌఆͰ͖ΔΑ͏ʹ ɾؔΑΓࡉ͔͍୯ҐͰlatencyΛଌఆ ɾϢʔβ୯ҐͰͷύϑΥʔϚϯεΛଌఆ 1 const dd = require('libs-dogstatsd'); 2 const stats = dd.start(); 3 // measure hoge 4 hoge(); 5 stats.tick('hoge', 1, 1, [user_id:1234]); Node.jsͷwrapper library
ɹɹʛɹɹ© 2019 PLAID Inc. 33 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ tagͰϢʔβࣝผ༻IDΛૹΔ
ࠓى͍ͬͯ͜Δ͕ ʮಛఆͷϢʔβىҼͰى͍ͬͯ͜Δʁʯ ʮKARTEશମͰى͍ͬͯ͜Δʁʯ ͔ΛΓ͚͍ͯ͘͢͠͠Δ Custom metricsͷੵۃ׆༻
34 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEΛࢧ͑Δ
ࢹͷϙΠϯτ ͢͜ͱ → 1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard
35 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ →
1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard 1.Ϛϧνςφϯτ 2.ϨΠςϯγʔ/ߴෛՙ 3.େنγεςϜ 4.ϚϧνΫϥυߏ
ɹɹʛɹɹ© 2019 PLAID Inc. 36 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ Layer
1 ɾKARTE͕ੜ͖͍ͯΔ͔Ͳ͏͔ LayerΛ͚ͨDashboard
ɹɹʛɹɹ© 2019 PLAID Inc. 37 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ Layer
2 ɾॏཁͳίϯϙʔωϯτ ɾॏཁͳΞϓϦέʔγϣϯͷϝτϦοΫ LayerΛ͚ͨDashboard
ɹɹʛɹɹ© 2019 PLAID Inc. 38 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ Layer
3 ɾ֤αʔό܈ͷࡉ͔͍ϝτϦοΫ LayerΛ͚ͨDashboard
39 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ͢͜ͱ
KARTEͷಛ KARTEΛࢧ͑ΔࢹͷϙΠϯτ ࠓޙΓ͍ͨ͜ͱ ✓ ✓
ɹࠓޙΓ͍ͨ͜ͱ 40 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ
શͯͷΤϯδχΞ͕ োͷҰ࣌ରԠΛͰ͖ΔΑ͏ʹ͢Δ ɾࢹ/োରԠͷϑϩʔͷཧ ɾDatadogΛ͍͜ͳͯ͠Β͏
ɹࠓޙΓ͍ͨ͜ͱ 41 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ
Custom metrics 1ԯԁͷղܾ ɾ͋·ΓʹศརͩͬͨͷͰ͍͢ ͗ͯ͠·ͬͨ… ɾCustom metricsͷཧΛߦ͏
42 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ ɹɹʛɹɹ© 2019 PLAID Inc. ·ͱΊ
·ͱΊ
43 ɹɹʛɹɹ© 2019 PLAID Inc. 2019.11.13ɹɹʛɹɹDatadog Summit Tokyo 2019ɹɹʛɹ KARTEΛࢧ͑Δ
ࢹͷϙΠϯτ 1.Datadogʹશͯू 2.Custom metricsͷੵۃ׆༻ 3.LayerΛ͚ͨDashboard →
None