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
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Ilan Rabinovitch
February 26, 2016
Technology
110
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
210
Introduction to Docker Monitoring
irabinovitch
0
160
OSCON 2016 - Monitoring in Motion
irabinovitch
2
190
Monitoring OpenStack at Lithium (OpenStack Summit Austin 2016)
irabinovitch
0
78
LinuxFest Northwest 2016 - Monitoring 101
irabinovitch
0
46
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
78
Other Decks in Technology
See All in Technology
AI와 협업하는 조직으로의 여정
arawn
0
430
Good Enough Types: Heuristic Type Inference for Ruby
riseshia
1
220
レビューしきれない?それは「全て人力でのレビュー」だからではないでしょうか
amixedcolor
0
330
AI駆動1on1〜AIに自分を育ててもらう〜
yoshiakiyasuda
0
120
Pure Intonation on Browser: Building a Sequencer with Ruby
nagachika
0
120
2026年、知っておくべき最新 サーバレスTips10選/serverless-10-tips
slsops
13
5.2k
The Journey of Box Building
tagomoris
4
2.7k
インターネットの技術 / Internet technology
ks91
PRO
0
210
Choose your own adventure in agentic design patterns
glaforge
0
140
Practical TypeProf: Lessons from Analyzing Optcarrot
mame
0
340
国内外の生成AIセキュリティの最新動向 & AIガードレール製品「chakoshi」のご紹介 / Latest Trends in Generative AI Security (Domestic & International) & Introduction to AI Guardrail Product "chakoshi"
nttcom
2
900
AI時代 に増える データ活用先
takahal
0
230
Featured
See All Featured
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.7k
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
110
Building a Scalable Design System with Sketch
lauravandoore
463
34k
RailsConf 2023
tenderlove
30
1.4k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.2k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
2.8k
The SEO Collaboration Effect
kristinabergwall1
1
420
Imperfection Machines: The Place of Print at Facebook
scottboms
270
14k
The Spectacular Lies of Maps
axbom
PRO
1
700
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
2k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
250
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