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
Monitoring in Motion: Challenges of Monitoring ...
Search
Ilan Rabinovitch
February 26, 2016
Technology
130
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
240
Introduction to Docker Monitoring
irabinovitch
0
190
OSCON 2016 - Monitoring in Motion
irabinovitch
2
200
Monitoring OpenStack at Lithium (OpenStack Summit Austin 2016)
irabinovitch
0
88
LinuxFest Northwest 2016 - Monitoring 101
irabinovitch
0
59
Monitoring ECS and Dynamic Infrastructure
irabinovitch
0
140
Doing DevOps Right with Datadog + Pagerduty
irabinovitch
0
140
Docker Usage Patterns - Docker Meetup Palo Alto - Nov 2015
irabinovitch
0
86
Other Decks in Technology
See All in Technology
10Xに技術的負債をもたらした「2つの境界の歪み」その構造と解消への営み
10xinc
0
2.1k
絵ではじめるKubernetesセキュリティ
aoi1
4
690
AIに任せた品質は、誰が見立てるのか - AI時代のテストマネジメント
nakanao
3
2.6k
C#コードの結合を可視化する Roslyn解析による設計改善と リファクタリング判断
dora56
0
240
今話題のAI「Jev」って何? 宇宙最速で学ぶ会
minorun365
PRO
30
17k
AI 時代のスタートアップエコシステ厶から考究する技術的負債との向き合い方
m3m0r7
PRO
3
2.4k
ユーザー価値を届け続けるためにウォンテッドリーが大切にしている文化
kotaminato
0
180
AI時代、データエンジニアが一番おもろい
genshun9
0
670
【技術的負債conf】事業成長に伴う技術的負債の説明責任とAIによるモニタリング、認知的負債について
i35_267
3
1.8k
EventBridge に「合流」はない ― サーバーレスのワークフローを育てるということ / No Join in EventBridge
yusukeshimizu
2
350
Deployment の 先にある AI Agent 基盤 - kagent vNext、Agent Substrate、Hermes から読み解く Agent Runtime の現在地 / k8s-matsuri-2-ai-agent-platform-amsy810
masayaaoyama
4
680
Cloudflare Workers 向けアプリを C# で構築する ~WASM Native AOT への道~
nenonaninu
1
610
Featured
See All Featured
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6.1k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
3.1k
The Limits of Empathy - UXLibs8
cassininazir
1
680
We Are The Robots
honzajavorek
0
380
The Curious Case for Waylosing
cassininazir
1
510
Done Done
chrislema
186
16k
Everyday Curiosity
cassininazir
0
320
Measuring & Analyzing Core Web Vitals
bluesmoon
9
1k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.3k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
Accessibility Awareness
sabderemane
1
210
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
500
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