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
0
110
Monitoring in Motion: Challenges of Monitoring Containers and Kuberntes
Ilan Rabinovitch
February 26, 2016
Tweet
Share
More Decks by Ilan Rabinovitch
See All by Ilan Rabinovitch
Monitoring in Motion - ContainerCon 2016
irabinovitch
0
100
Data Driven Post Mortems at Datadog - LinuxCon 2016
irabinovitch
1
210
Introduction to Docker Monitoring
irabinovitch
0
160
OSCON 2016 - Monitoring in Motion
irabinovitch
2
180
Monitoring OpenStack at Lithium (OpenStack Summit Austin 2016)
irabinovitch
0
74
LinuxFest Northwest 2016 - Monitoring 101
irabinovitch
0
45
Monitoring ECS and Dynamic Infrastructure
irabinovitch
0
110
Doing DevOps Right with Datadog + Pagerduty
irabinovitch
0
130
Docker Usage Patterns - Docker Meetup Palo Alto - Nov 2015
irabinovitch
0
76
Other Decks in Technology
See All in Technology
開発チームとQAエンジニアの新しい協業モデル -年末調整開発チームで実践する【QAリード施策】-
qa
0
260
コンテキスト・ハーネスエンジニアリングの現在
hirosatogamo
PRO
6
790
スピンアウト講座01_GitHub管理
overflowinc
0
1.3k
Phase06_ClaudeCode実践
overflowinc
0
1.9k
20年以上続く PHP 大規模プロダクトを Kubernetes へ ── クラウド基盤刷新プロジェクトの4年間
oogfranz
PRO
0
170
今日から始められるテスト自動化 〜 基礎知識から生成AI活用まで 〜
magicpod
1
140
Phase01_AI座学_基礎
overflowinc
0
3.7k
How to install a gem
indirect
0
1.2k
事例から紐解くSHIFT流QA支援 ~大規模プロジェクトの品質管理支援、QA組織立ち上げ~ / 20260320 Nozomu Koketsu
shift_evolve
PRO
0
140
【AWS】CloudTrail LakeとCloudWatch Logs Insightsの使い分け方針
tsurunosd
0
120
Phase12_総括_自走化
overflowinc
0
1.4k
イベントで大活躍する電子ペーパー名札を作る(その2) 〜 M5PaperとM5PaperS3 〜 / IoTLT @ JLCPCB オープンハードカンファレンス
you
PRO
0
200
Featured
See All Featured
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
230
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
770
Exploring anti-patterns in Rails
aemeredith
2
290
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Designing for Performance
lara
611
70k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.4k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
590
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
200
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
270
Building AI with AI
inesmontani
PRO
1
820
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