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
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
0
2.5k
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
Tweet
Share
More Decks by Daiki Matsui
See All by Daiki Matsui
The Fourth Age of SRE
ikemonn
0
530
Multicloud deploy with Spinnaker / builderscon tokyo 2018
ikemonn
2
4.6k
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
140
Other Decks in Technology
See All in Technology
いま、あらためて考えてみるアカウント管理 with IaC / Account management with IaC
kohbis
2
440
僕たちが「開発しやすさ」を求め 模索し続けたアーキテクチャ #アーキテクチャ勉強会_findy
bengo4com
0
2.6k
Engineering Failure-Resilient Systems
infraplumber0
0
130
メルカリIBIS:AIが拓く次世代インシデント対応
0gm
2
460
データモデリング通り #2オンライン勉強会 ~方法論の話をしよう~
datayokocho
0
190
Kiro と Q Dev で 同じゲームを作らせてみた
r3_yamauchi
PRO
1
120
九州の人に知ってもらいたいGISスポット / gis spot in kyushu 2025
sakaik
0
200
JAWS-UG のイベントで使うハンズオンシナリオを Amazon Q Developer for CLI で作ってみた話
kazzpapa3
0
120
薬屋のひとりごとにみるトラブルシューティング
tomokusaba
0
390
いかにして命令の入れ替わりについて心配するのをやめ、メモリモデルを愛するようになったか(改)
nullpo_head
7
2.7k
Backlog AI アシスタントが切り開く未来
vvatanabe
1
170
ABEMAにおける 生成AI活用の現在地 / The Current Status of Generative AI at ABEMA
dekatotoro
0
400
Featured
See All Featured
How STYLIGHT went responsive
nonsquared
100
5.7k
The Cost Of JavaScript in 2023
addyosmani
53
8.8k
Bash Introduction
62gerente
614
210k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Building Applications with DynamoDB
mza
96
6.6k
The Straight Up "How To Draw Better" Workshop
denniskardys
236
140k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
9
770
Designing Experiences People Love
moore
142
24k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1.1k
Optimizing for Happiness
mojombo
379
70k
Code Review Best Practice
trishagee
69
19k
YesSQL, Process and Tooling at Scale
rocio
173
14k
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