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
Real-World Kubernetes Deployments @ OSCON 2016
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Brandon Philips
May 16, 2016
Programming
1
680
Real-World Kubernetes Deployments @ OSCON 2016
Brandon Philips
May 16, 2016
Tweet
Share
More Decks by Brandon Philips
See All by Brandon Philips
Node.js Workflow with Minikube and Skaffold
philips
0
280
Manage the App on Kubernetes
philips
0
360
Production Backbone Monitoring Containerized Apps
philips
0
210
KubeCon EU 2017: Dancing on the Edge of a Volcano
philips
1
810
rkt - KubeCon EU keynote - 2017
philips
1
290
FOSDEM_Keynote_2017-_.pdf
philips
0
150
Tectonic Summit Day 2 Keynote
philips
0
380
Kubernetes: Simple to Manage Anywhere (self-hosted, Tectonic upgrade demo)
philips
0
420
KubeCon Keynote 2016- Distributed Systems Simplified on Kubernetes
philips
2
570
Other Decks in Programming
See All in Programming
GISエンジニアから見たLINKSデータ
nokonoko1203
0
200
メルカリのリーダビリティチームが取り組む、AI時代のスケーラブルな品質文化
cloverrose
2
510
【卒業研究】会話ログ分析によるユーザーごとの関心に応じた話題提案手法
momok47
0
190
Fragmented Architectures
denyspoltorak
0
140
humanlayerのブログから学ぶ、良いCLAUDE.mdの書き方
tsukamoto1783
0
180
AI 駆動開発ライフサイクル(AI-DLC):ソフトウェアエンジニアリングの再構築 / AI-DLC Introduction
kanamasa
11
6.3k
2年のAppleウォレットパス開発の振り返り
muno92
PRO
0
200
[KNOTS 2026登壇資料]AIで拡張‧交差する プロダクト開発のプロセス および携わるメンバーの役割
hisatake
0
230
CSC307 Lecture 08
javiergs
PRO
0
660
AIで開発はどれくらい加速したのか?AIエージェントによるコード生成を、現場の評価と研究開発の評価の両面からdeep diveしてみる
daisuketakeda
1
960
コントリビューターによるDenoのすゝめ / Deno Recommendations by a Contributor
petamoriken
0
200
疑似コードによるプロンプト記述、どのくらい正確に実行される?
kokuyouwind
0
380
Featured
See All Featured
How Software Deployment tools have changed in the past 20 years
geshan
0
32k
Navigating Team Friction
lara
192
16k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
110
Automating Front-end Workflow
addyosmani
1371
200k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
240
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
1
120
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
420
Principles of Awesome APIs and How to Build Them.
keavy
128
17k
How to train your dragon (web standard)
notwaldorf
97
6.5k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.3k
Code Review Best Practice
trishagee
74
20k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
210
Transcript
Real World Kubernetes Deployments failure domains, upgrades, high-availability @coreoslinux @brandonphilips
Follow Along Instructions http://bit.ly/1XeUbMW Stickers Upfront Decorate your laptop, dog,
kid, phone.
Brandon Philips CTO, CoreOS github.com/philips
None
Build, Store and Distribute your Containers quay.io
Linux
Secure the Internet MISSION
Separate Apps from OS STRATEGY
Make Servers Consistent STRATEGY
Tolerate Machine Failures STRATEGY
Make Servers Easy to Upgrade STRATEGY
Simplify Application Upgrades STRATEGY
None
None
None
None
None
Application Packaging 1
Abstract away app from the OS OS App
None
None
Linux at Scale 2
Patches to the OS and kernel are hard Retest after
updates No automation SECURITY Dependency breakage Uptime risk APPLICATION
None
Auto-updating browsers fixed security We got HTML5 at the same
time
Clustering 3
Operations Paradise Easy scale out Painless app upgrades Tolerant of
machine failure
App Req/sec: 6,000 App Healthy: True
App Req/sec: 6,000 App Healthy: True
App Req/sec: 7,000 App Healthy: True
App Req/sec: 8,000 App Healthy: True
App Req/sec: 7,000 App Healthy: True
App Req/sec: 6,000 App Healthy: True
App Req/sec: 8,000 App Healthy: True
App Req/sec: 7,000 App Healthy: True
App Req/sec: 8,000 App Healthy: True
App Req/sec: 8,000 App Healthy: True
3 Application packaging Clustering Linux at scale
3 Application packaging Clustering Linux at scale
Follow Along Instructions https://github.com/philips/repositories 2016-OSCON-containers-at-scale
CoreOS+Kubernetes vagrant, aws, bare metal, etc coreos.com/kubernetes/docs/latest/
kubernetes architecture in practice
worker kubelet worker kubelet worker kubelet scheduler & API worker
kubelet w ku t worker kubelet
worker kubelet worker kubelet scheduler & API
worker & API works on 1 node too
kube-aws Initial Cluster Setup
worker kubelet worker kubelet controller scheduler, etcd & API
Demo Boot up a Cluster
Demo Run an App
Demo Understand the Network
Domains Let's Talk About Failure
Failure domains are regions or components of the infrastructure which
contain a potential for failure.
These regions can be physical or logical boundaries, and each
has its own risks and challenges to architect for.
Failure Feud - Machine Failure - Network/Disks/RAM/Processor/Power Supply - Rack
Failure - Network/Power - Data Center Failure - Network/Power/Fire/Semi-trucks - Internet Failure - Network/Political/Natural
Failure Analysis Kid Celebrating
None
Kid Hitting His Eye Failure Analysis - Failure is caused
by human error - Celebration continues; eye unnecessary - Kid has two eyes can continue seeing - Brain elects new eye automatically
Primary Datastore etcd operations
/etc distributed hence, the name...
a clustered key-value store GET and SET operations
a building block for higher order systems primitives for building
reliable distributed systems
Demo play.etcd.io
None
None
None
None
None
None
None
Failure Analysis etcd
worker kubelet worker kubelet scheduler & API
kube-aws high availability in cloud
scheduler & API EBS { ASG
etcd protects against - Machine Failure - Replication, automatic leader
election - Flakey Disk Failure - CRC checksums on WAL files - Network Failure - Timeouts and linearized state machine
etcd does not protect against - Denial of Service -
Future work on proxies - Lying etcd Peers - We do a ton of functional testing a hedge - Buggy or Broken Clients - Client deleting all keys requires restore from backup
Demo etcd restore backup
1 2 3 4 { Log
1 2 3 4 Entries
1 2 3 4 Indexes
Kubernetes Control API Service, Scheduler, Controller Manager
Failure Analysis Kubernetes
Demo etcd down for API server
worker kubelet worker kubelet scheduler & API
scheduler & API
Demo etcd restore for API server
scheduler & API
Demo node partition from API
worker kubelet worker kubelet scheduler & API
Demo node scaling up
worker kubelet worker kubelet scheduler & API worker kubelet
Demo node scheduled outage API
worker kubelet worker kubelet scheduler & API
Demo node unplanned outage
worker kubelet worker kubelet scheduler & API
Demo node downgrade/upgrade outage
worker kubelet worker kubelet scheduler & API
Future Work Upstream Kubernetes and Elsewhere
Upstream rktnetes Auth/OIDC Node self-signed TLS
Scaling 15x scheduler performance 30k pods on 1k nodes SIG-scale
Automatic Node Drain Locksmith Design Doc
None
Performance etcd3 /ZooKeeper snapshot disabled
Performance etcd3 /ZooKeeper snapshot disabled
Memory 10GB 2.4GB 0.8GB 512MB data - 2M 256B keys
Sounds good, but... Is anyone successful with all this in
prod?
Publically traded options exchange
Containers on CoreOS are powering ISE's high- throughput, low-latency financial
exchange Running in production Bare metal & AWS Billions of transactions a day 150 million req/sec
None
Secure the Internet MISSION
Separate Apps from OS STRATEGY
Make Servers Consistent STRATEGY
Tolerate Machine Failures STRATEGY
Make Servers Easy to Upgrade STRATEGY
Simplify Application Upgrades STRATEGY
None
Thank you! Brandon Philips @brandonphilips |
[email protected]
| coreos.com We’re
hiring in all departments! Email:
[email protected]
Positions: coreos.com/ careers