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
Monitoring in Motion: Challenges of Monitoring ...
Search
Ilan Rabinovitch
February 26, 2016
Technology
120
0
Share
Monitoring in Motion: Challenges of Monitoring Containers and Kuberntes
Ilan Rabinovitch
February 26, 2016
More Decks by Ilan Rabinovitch
See All by Ilan Rabinovitch
Monitoring in Motion - ContainerCon 2016
irabinovitch
0
110
Data Driven Post Mortems at Datadog - LinuxCon 2016
irabinovitch
1
230
Introduction to Docker Monitoring
irabinovitch
0
180
OSCON 2016 - Monitoring in Motion
irabinovitch
2
200
Monitoring OpenStack at Lithium (OpenStack Summit Austin 2016)
irabinovitch
0
80
LinuxFest Northwest 2016 - Monitoring 101
irabinovitch
0
49
Monitoring ECS and Dynamic Infrastructure
irabinovitch
0
120
Doing DevOps Right with Datadog + Pagerduty
irabinovitch
0
140
Docker Usage Patterns - Docker Meetup Palo Alto - Nov 2015
irabinovitch
0
80
Other Decks in Technology
See All in Technology
Databricks 月刊サービスアップデート 2026年05月号
tyosi1212
0
200
イベントストーミングとKiroの仕様駆動開発で実現する要件の認識合わせプロセス
syobochim
7
1.1k
個人の発見を、組織の知恵に 〜生成AI活用を"探索"から"組織の仕組み"へ〜
kintotechdev
2
870
「速く作る」から「正しく作る」へ ─ 生成AI時代の開発フロー改革の ロードマップと実行 ─
starfish719
0
6.4k
オンコールの負荷軽減のためのBits Assistant 活用方法 / How to Use Bits Assistant to Reduce the Workload on On-Call Staff
sms_tech
1
380
Oracle Cloud Infrastructure IaaS 新機能アップデート 2026/3 - 2026/5
oracle4engineer
PRO
1
170
AI活用を推進するために ファインディが下した、一つの小さな決断
starfish719
0
230
価格.comをAI駆動で全面刷新する ー 30年分の技術的負債を返し、次の30年の土台をつくる ー / AI Engineering Summit Tokyo 2026
tkyowa
45
46k
個人最適 から 全体最適 へ AI情報共有会・AIギルド・AI-DLC で進める カンリーの組織展開
rfdnxbro
0
1.2k
Agentic ERPをどう設計するか ー 受発注エージェントを動かす、現場の知見と設計思想ー
recerqainc
1
1.2k
先取りMaven4 ~16年ぶりのメジャーアップデート、その進化とは?~
ogiwarat
0
140
Chart.js が簡単に使えるようになっていたので OGP 画像生成に使った話
kamekyame
0
140
Featured
See All Featured
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
570
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
1
3.6k
Mobile First: as difficult as doing things right
swwweet
225
10k
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
310
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
250
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.9k
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
190
Side Projects
sachag
455
43k
HDC tutorial
michielstock
2
690
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Thoughts on Productivity
jonyablonski
76
5.2k
Deep Space Network (abreviated)
tonyrice
0
160
Transcript
Monitoring In Motion Challenges in Monitoring Kubernetes & Containers Cloud
Native SF Meetup Feb 25, 2016 Ilan Rabinovitch Director, Community Datadog
About Me • Long time Datadog user. • Prior to
Datadog built automation and monitoring tooling at Ooyala and Edmunds.com • SCALE and TXLF Co-Founder Ilan Rabinovitch Datadog
[email protected]
@irabinovitch
Agenda • Monitoring 101 - Crash Course • Challenges in
Monitoring Dynamic Infrastructure • Demo Time • Questions?
Monitoring Everything
None
@honest_update on Twitter
Quick Overview of Datadog • Monitoring for modern applications. •
Time series storage of metrics and events. • Trending, alerting and anomaly detection. • Hundreds of integrations out of the box.
Monitoring 101: Categorization More at: http://goo.gl/t1Rgcg
None
Monitoring 101: Focus on symptoms More at: http://goo.gl/t1Rgcg
Recurse until you find root cause. More at: http://goo.gl/t1Rgcg
Container Monitoring Challenges
https://www.datadoghq.com/docker-adoption/
None
None
Operational Complexity •Average containers per host: N (N=4, 10/2015) •N-times
as many “hosts” to manage •Affects everything
Operational Complexity: Scale 100 instances 400 containers
Operational Complexity: Scale 160 metrics per host 640 metrics per
host
Operational Complexity: Scale 100 instances 64,000 metrics
None
Host Centric vs Service Centric
Host Centric vs Service Centric
Query Based Monitoring … … …
•Use tags, labels, etc on your hosts and metrics. •Pull
in existing labels from your infrastructure (Region, Docker Images, K8S Tags..) Query Based Monitoring By using tags, auto-adapt!
Where is my application running ? What’s the total throughput
of App X ? What’s its response time per tag ? (pod, version, DC) What’s the distribution of 5xx from Nginx per pod ?
Auto Discovery
Docker API Kubelet API Monitoring Agent Container A O A
O A O Application Container Off-The-Shelf Application (Redis, PostgreSQL, …) Containers List Metadata Additional Metadata (Pod names, RC, …) Config Backend Integration Configurations Host Level Metrics
Some Pictures Dashboards and Metrics Alerts Sharing
Demo time