SlideShare a Scribd company logo
OpenStack Summit
AsiaWorld Expo / November 2013
Agenda
• The Matrix from Hell and the need for containers
• Why Docker
• Docker Ecosystem
• Docker + OpenStack
• Docker + Rackspace
• Docker 101
• Cross Cloud Deployment Demo
• Conclusion
• Q&A
User DB

Static website

postgresql + pgv8 + v8

nginx 1.5 + modsecurity + openssl + bootstrap 2

Background workers
Python 3.0 + celery + pyredis + libcurl + ffmpeg + libopencv + nodejs +
phantomjs

Queue

Analytics DB

Redis + redis-sentinel

hadoop + hive + thrift + OpenJDK

Web frontend
Ruby + Rails + sass + Unicorn

API endpoint

Do services and apps
interact
appropriately?

Multiplicity of Stacks

The Challenge

Development VM

Production Cluster
Public Cloud

QA server
Disaster recovery

Contributor’s laptop

Customer Data Center
Production Servers

Can I migrate
smoothly and
quickly?

Multiplicity of
hardware
environments

Python 2.7 + Flask + pyredis + celery + psycopg + postgresql-client
The Matrix From Hell
Static website

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Web frontend

?

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Background workers

?

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?

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User DB

?

?

?

?

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Analytics DB

?

?

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?

?

?

?

Queue

?

?

?

?

?

?

?

Development
VM

QA Server

Single Prod
Server

Onsite
Cluster

Public Cloud

Contributor’s
laptop

Customer
Servers
Multiplicity of Goods

Do I worry about
how goods interact
(e.g. coffee beans
next to spices)

Can I transport quickly
and smoothly
(e.g. from boat to train
to truck)

Multipilicity of
methods for
transporting/storing

Cargo Transport Pre-1960
Also a matrix from hell
?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

?

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?

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?
A standard container that is
loaded with virtually any
goods, and stays sealed until
it reaches final delivery.
…in between, can be loaded and
unloaded, stacked, transported
efficiently over long distances,
and transferred from one mode
of transport to another

Can I transport
quickly and smoothly
(e.g. from boat to
train to truck)

Multiplicity of
methods for
transporting/storing

Do I worry about
how goods interact
(e.g. coffee beans
next to spices)

Multiplicity of Goods

Solution: Intermodal Shipping Container
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Static website

User DB

Web frontend

Queue

Analytics DB

An engine that enables any
payload to be encapsulated
as a lightweight, portable,
self-sufficient container…

Multiplicity of
hardware
environments

Development
VM

QA server

Customer Data
Center

Public Cloud

Production
Cluster

Contributor’s
laptop

Can I migrate
smoothly and quickly

…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform

Do services and apps
interact
appropriately?

Multiplicity of Stacks

Docker is a shipping container system for
code
Docker eliminates the matrix from Hell
Static website

Web frontend

Background workers

User DB

Analytics DB

Queue

Development
VM

QA Server

Single Prod
Server

Onsite
Cluster

Public Cloud

Contributor’s
laptop

Customer
Servers
Why Developers Care
• Build once…(finally) run anywhere*
• A clean, safe, hygienic and portable runtime environment for your app.
• No worries about missing dependencies, packages and other pain points during
subsequent deployments.
• Run each app in its own isolated container, so you can run various versions of libraries
and other dependencies for each app without worrying
• Automate testing, integration, packaging…anything you can script
• Reduce/eliminate concerns about compatibility on different platforms, either your own or
your customers.
• Cheap, zero-penalty containers to deploy services? A VM without the overhead of a VM?
Instant replay and reset of image snapshots? That’s the power of Docker

•

* With the 0.7 release, we will support any x86 server running a modern Linux kernel (2.6.32+)
Why Devops Cares?
• Configure once…run anything
• Make the entire lifecycle more efficient, consistent, and repeatable
• Increase the quality of code produced by developers.
• Eliminate inconsistencies between development, test, production, and customer
environments
• Support segregation of duties
• Significantly improves the speed and reliability of continuous deployment and continuous
integration systems
• Because the containers are so lightweight, address significant performance, costs,
deployment, and portability issues normally associated with VMs
Why it works—separation of concerns
• Dan the Developer
•

Worries about what’s ―inside‖ the
container
•

His Apps

•

•

His Package Manager

•

His Data

All Linux servers look the same

Worries about what’s ―outside‖
the container
•
•
•
•

His Libraries

•

•

His code

•

• Oscar the Ops Guy

•

Logging
Remote access
Monitoring
Network config

All containers start, stop, copy,
attach, migrate, etc. the same
way
More technical explanation
WHY
• Run everywhere
• Regardless of kernel version
(2.6.32+)
• Regardless of host distro
• Physical or virtual, cloud or not
• Container and host architecture
must match*

• Run anything
• If it can run on the host, it can
run in the container
• i.e. if it can run on a Linux
kernel, it can run

WHAT
• High Level—It’s a lightweight VM
•
•
•
•

Own process space
Own network interface
Can run stuff as root
Can have its own /sbin/init
(different from host)
• <<machine container>>

• Low Level—It’s chroot on
steroids
• Can also not have its own
/sbin/init
• Container=isolated processes
• Share kernel with host
• No device emulation (neither
HVM nor PV) from host)
• <<application container>>
Containers vs. VMs
App
A

App
A’

App
B

Bins/
Libs

Bins/
Libs

Bins/
Libs

Guest
OS

Guest
OS
Guest
OS

Guest
OS
Guest
OS

VM

Containers are isolated,
but share OS and, where
appropriate, bins/libraries
…result is significantly faster deployment,
much less overhead, easier migration,
faster restart

Host OS

Host OS

Server

Server

Docker

Bins/Libs

App B’

App B’

App B’

Bins/Libs

App B

App A’

Hypervisor (Type 2)

App A

Container
Why are Docker containers lightweight?
VMs

Bins/
Libs

Bins/
Libs

Bins/
Libs

Guest
OS

Guest
OS
Guest
OS

Bins/
Libs

Original App
(No OS to take
up space, resources,
or require restart)

VMs
Every app, every copy of an
app, and every slight modification
of the app requires a new virtual server

App Δ

App
A

App
A

App
A
Bins/

App
A’

App
A

Guest
OS

Containers

Copy of
App
No OS. Can
Share bins/libs

Modified App
Copy on write allows
us to only save the diffs
Between container A
and container
A’
What are the basics of the Docker system?
Container A

Push

Docker
Container
Image
Registry
Search

Run

Build
Dockerfile
For
A

Docker

Container C

Host 1 OS (Linux)

Container B

Docker Engine

Container A

Source
Code
Repository

Pull

Host 2 OS (Linux)
Changes and Updates
Push

App Δ

App
A

Bins/

Bins/
Libs

Docker
Container
Image
Registry

Container
Mod A’

Container
Mod A’’

App Δ

Base
Container
Image

Bins/
Libs

Bins/

App
A
Bins/
Libs

Bins/

App
A’’

Update

Docker Engine
Host is now running A’’

Docker Engine
Host running A wants to upgrade to A’’.
Requests update. Gets only diffs
Docker Registry Enables Multi-Cloud
Any Docker Image hosted on

Any Docker Registry can be run on

Any Docker Host in seconds
Docker Ecosystem / Community
Docker Ecosystem Support

150K downloads, 15K trained users, 200+ contributors, 7K+ github stars, 1000’s of Dockerized apps
Docker + OpenStack
New hypervisor to enable Nova to deploy Linux containers
Why Docker + OpenStack
• Alternative to VMs within OpenStack
• Easier deployment of OpenStack itself
• Cross Cloud Application Deployment
• Containers Orchestration with OpenStack Heat
Docker + Rackspace
Testimonials from a strong partnership
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Docker 101
New to Docker? Let’s go through it.
Put it all together
Real multi-cloud deployment via Docker
Demo Content
• Application Containerized from Source
• Application Goes Through Development Testing
• Push to Rackspace Cloud
• Provision via Horizon – Native Havana Nova Integration
• http://asciinema.org/a/6243 - Muti cloud deployment
• http://asciinema.org/a/6244 - Nova list / Docker Ps after
deployment
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013
Conclusion / Summary
Want to learn more:
• www.docker.io:

• Documentation
• Getting started: interactive tutorial, installation instructions, getting started guide,
• About: Introductory whitepaper: http://www.docker.io/the-whole-story/

• www.docker.com
•
•
•
•

•
•
•
•

15+ use cases
Ecosystem
Partners
Professional support & services

Github: dotcloud/docker
IRC: freenode/#docker
Google groups: groups.google.com/forum/#!forum/docker-user
Twitter: follow @docker

• Meetups: Scheduled for Boston, San Francisco, Austin, London, Paris, Boulder…and
Nairobi. Go to website for details
www.docker.io
www.docker.com

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Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013

  • 2. Agenda • The Matrix from Hell and the need for containers • Why Docker • Docker Ecosystem • Docker + OpenStack • Docker + Rackspace • Docker 101 • Cross Cloud Deployment Demo • Conclusion • Q&A
  • 3. User DB Static website postgresql + pgv8 + v8 nginx 1.5 + modsecurity + openssl + bootstrap 2 Background workers Python 3.0 + celery + pyredis + libcurl + ffmpeg + libopencv + nodejs + phantomjs Queue Analytics DB Redis + redis-sentinel hadoop + hive + thrift + OpenJDK Web frontend Ruby + Rails + sass + Unicorn API endpoint Do services and apps interact appropriately? Multiplicity of Stacks The Challenge Development VM Production Cluster Public Cloud QA server Disaster recovery Contributor’s laptop Customer Data Center Production Servers Can I migrate smoothly and quickly? Multiplicity of hardware environments Python 2.7 + Flask + pyredis + celery + psycopg + postgresql-client
  • 4. The Matrix From Hell Static website ? ? ? ? ? ? ? Web frontend ? ? ? ? ? ? ? Background workers ? ? ? ? ? ? ? User DB ? ? ? ? ? ? ? Analytics DB ? ? ? ? ? ? ? Queue ? ? ? ? ? ? ? Development VM QA Server Single Prod Server Onsite Cluster Public Cloud Contributor’s laptop Customer Servers
  • 5. Multiplicity of Goods Do I worry about how goods interact (e.g. coffee beans next to spices) Can I transport quickly and smoothly (e.g. from boat to train to truck) Multipilicity of methods for transporting/storing Cargo Transport Pre-1960
  • 6. Also a matrix from hell ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?
  • 7. A standard container that is loaded with virtually any goods, and stays sealed until it reaches final delivery. …in between, can be loaded and unloaded, stacked, transported efficiently over long distances, and transferred from one mode of transport to another Can I transport quickly and smoothly (e.g. from boat to train to truck) Multiplicity of methods for transporting/storing Do I worry about how goods interact (e.g. coffee beans next to spices) Multiplicity of Goods Solution: Intermodal Shipping Container
  • 9. Static website User DB Web frontend Queue Analytics DB An engine that enables any payload to be encapsulated as a lightweight, portable, self-sufficient container… Multiplicity of hardware environments Development VM QA server Customer Data Center Public Cloud Production Cluster Contributor’s laptop Can I migrate smoothly and quickly …that can be manipulated using standard operations and run consistently on virtually any hardware platform Do services and apps interact appropriately? Multiplicity of Stacks Docker is a shipping container system for code
  • 10. Docker eliminates the matrix from Hell Static website Web frontend Background workers User DB Analytics DB Queue Development VM QA Server Single Prod Server Onsite Cluster Public Cloud Contributor’s laptop Customer Servers
  • 11. Why Developers Care • Build once…(finally) run anywhere* • A clean, safe, hygienic and portable runtime environment for your app. • No worries about missing dependencies, packages and other pain points during subsequent deployments. • Run each app in its own isolated container, so you can run various versions of libraries and other dependencies for each app without worrying • Automate testing, integration, packaging…anything you can script • Reduce/eliminate concerns about compatibility on different platforms, either your own or your customers. • Cheap, zero-penalty containers to deploy services? A VM without the overhead of a VM? Instant replay and reset of image snapshots? That’s the power of Docker • * With the 0.7 release, we will support any x86 server running a modern Linux kernel (2.6.32+)
  • 12. Why Devops Cares? • Configure once…run anything • Make the entire lifecycle more efficient, consistent, and repeatable • Increase the quality of code produced by developers. • Eliminate inconsistencies between development, test, production, and customer environments • Support segregation of duties • Significantly improves the speed and reliability of continuous deployment and continuous integration systems • Because the containers are so lightweight, address significant performance, costs, deployment, and portability issues normally associated with VMs
  • 13. Why it works—separation of concerns • Dan the Developer • Worries about what’s ―inside‖ the container • His Apps • • His Package Manager • His Data All Linux servers look the same Worries about what’s ―outside‖ the container • • • • His Libraries • • His code • • Oscar the Ops Guy • Logging Remote access Monitoring Network config All containers start, stop, copy, attach, migrate, etc. the same way
  • 14. More technical explanation WHY • Run everywhere • Regardless of kernel version (2.6.32+) • Regardless of host distro • Physical or virtual, cloud or not • Container and host architecture must match* • Run anything • If it can run on the host, it can run in the container • i.e. if it can run on a Linux kernel, it can run WHAT • High Level—It’s a lightweight VM • • • • Own process space Own network interface Can run stuff as root Can have its own /sbin/init (different from host) • <<machine container>> • Low Level—It’s chroot on steroids • Can also not have its own /sbin/init • Container=isolated processes • Share kernel with host • No device emulation (neither HVM nor PV) from host) • <<application container>>
  • 15. Containers vs. VMs App A App A’ App B Bins/ Libs Bins/ Libs Bins/ Libs Guest OS Guest OS Guest OS Guest OS Guest OS VM Containers are isolated, but share OS and, where appropriate, bins/libraries …result is significantly faster deployment, much less overhead, easier migration, faster restart Host OS Host OS Server Server Docker Bins/Libs App B’ App B’ App B’ Bins/Libs App B App A’ Hypervisor (Type 2) App A Container
  • 16. Why are Docker containers lightweight? VMs Bins/ Libs Bins/ Libs Bins/ Libs Guest OS Guest OS Guest OS Bins/ Libs Original App (No OS to take up space, resources, or require restart) VMs Every app, every copy of an app, and every slight modification of the app requires a new virtual server App Δ App A App A App A Bins/ App A’ App A Guest OS Containers Copy of App No OS. Can Share bins/libs Modified App Copy on write allows us to only save the diffs Between container A and container A’
  • 17. What are the basics of the Docker system? Container A Push Docker Container Image Registry Search Run Build Dockerfile For A Docker Container C Host 1 OS (Linux) Container B Docker Engine Container A Source Code Repository Pull Host 2 OS (Linux)
  • 18. Changes and Updates Push App Δ App A Bins/ Bins/ Libs Docker Container Image Registry Container Mod A’ Container Mod A’’ App Δ Base Container Image Bins/ Libs Bins/ App A Bins/ Libs Bins/ App A’’ Update Docker Engine Host is now running A’’ Docker Engine Host running A wants to upgrade to A’’. Requests update. Gets only diffs
  • 19. Docker Registry Enables Multi-Cloud Any Docker Image hosted on Any Docker Registry can be run on Any Docker Host in seconds
  • 20. Docker Ecosystem / Community
  • 21. Docker Ecosystem Support 150K downloads, 15K trained users, 200+ contributors, 7K+ github stars, 1000’s of Dockerized apps
  • 22. Docker + OpenStack New hypervisor to enable Nova to deploy Linux containers
  • 23. Why Docker + OpenStack • Alternative to VMs within OpenStack • Easier deployment of OpenStack itself • Cross Cloud Application Deployment • Containers Orchestration with OpenStack Heat
  • 24. Docker + Rackspace Testimonials from a strong partnership
  • 36. Docker 101 New to Docker? Let’s go through it.
  • 37. Put it all together Real multi-cloud deployment via Docker
  • 38. Demo Content • Application Containerized from Source • Application Goes Through Development Testing • Push to Rackspace Cloud • Provision via Horizon – Native Havana Nova Integration • http://asciinema.org/a/6243 - Muti cloud deployment • http://asciinema.org/a/6244 - Nova list / Docker Ps after deployment
  • 41. Want to learn more: • www.docker.io: • Documentation • Getting started: interactive tutorial, installation instructions, getting started guide, • About: Introductory whitepaper: http://www.docker.io/the-whole-story/ • www.docker.com • • • • • �� • • 15+ use cases Ecosystem Partners Professional support & services Github: dotcloud/docker IRC: freenode/#docker Google groups: groups.google.com/forum/#!forum/docker-user Twitter: follow @docker • Meetups: Scheduled for Boston, San Francisco, Austin, London, Paris, Boulder…and Nairobi. Go to website for details