Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
Docker Overview - Rise of the ContainersRyan Hodgin
Containers allow for applications to become more portable, organized more efficiently, and configured to make better use of system resources. This presentation will explain Docker's container technology, DevOps approach, partner ecosystem, popularity, performance, challenges, and roadmap. We'll review how containers are changing application and operating system designs.
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
Docker Overview - Rise of the ContainersRyan Hodgin
Containers allow for applications to become more portable, organized more efficiently, and configured to make better use of system resources. This presentation will explain Docker's container technology, DevOps approach, partner ecosystem, popularity, performance, challenges, and roadmap. We'll review how containers are changing application and operating system designs.
MIT Licensed - Reuse freely, but attribute "Hamilton Turner"
An introduction to the Docker container engine. Focuses on how to use Docker and implications of Docker for Cloud-based services. Shows multiple examples of rapidly starting complex environments using Docker. Very minor discussion on how Docker works technically.
Presentation source is available at https://github.com/hamiltont/intro-to-docker
Discussing the difference between docker dontainers and virtual machinesSteven Grzbielok
This presentation is designed to give an overview about differences of both virtualization methods to provide the reader with the fundamental knowledge to decide in each use case which technology is more suitable.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
Containers vs. VMs: It's All About the Apps!Steve Wilson
There has been much hype about whether Containers will replace Virtual Machines for use in Cloud architectures. We’ll look at the strengths of each technology and how they apply in real-world usage. By taking a top-down (Application-first) approach to requirements analysis, versus a bottoms-up (Infrastructure-first) approach, we can see how unique architectures will emerge that can balance the needs of Developers, DevOps and corporate IT.
Docker is an open-source implementation of the deployment engine .
-No Guest OS
-Rides on the already existing kernel’s
- Uses LinuX Containers (LXC) running in the host OS
- Only Container, Apps on Container
As Docker containers become the new standard, learn about what's catapulting them to the head of the pack and how to best protect their assets now and later with the help of Unitrends.
OpenStack, Containers, and Docker: The Future of Application Deployment
Twenty years ago, developers built static applications on well-defined stacks that ran on proprietary, monolithic hardware. Developers today want freedom to build applications using their choice of services and stacks and, ideally, want to be able to run those applications on any available hardware. Of course, this raises questions about service interaction, the practicality of migrating applications across environments, and the challenges of managing unlimited combinations of services and hardware environment.
By promoting an opensource approach to flexible and inter-operable infrastructure, OpenStack goes a long way towards achieving this vision of the future. This talk discusses the application and platform side of the equation, and the interplay between OpenStack, Container technology (e.g. LXC), and the opensource Docker.io project. Docker.io enables any application and its dependencies to be deployed as lightweight containers that run consistently virtually anywhere. The same containerized application that runs on a developer's laptop can run consistently on a bare metal server, an OpenStack cluster, a Rackspace cloud, a VM,etc. While providing isolation and compatibility, containers have significant size, performance, and deployment advantages over traditional VMs.
Recently, the community created an integration between Docker and OpenStack Nova, opening up exciting possibilities for web scale application deployment, continuous integration and deployment, private PaaS, and hybrid cloud. This session will give an introduction to Docker and containers in the context of OpenStack, and will then demonstrate cross-environment deployment of applications.
MIT Licensed - Reuse freely, but attribute "Hamilton Turner"
An introduction to the Docker container engine. Focuses on how to use Docker and implications of Docker for Cloud-based services. Shows multiple examples of rapidly starting complex environments using Docker. Very minor discussion on how Docker works technically.
Presentation source is available at https://github.com/hamiltont/intro-to-docker
Discussing the difference between docker dontainers and virtual machinesSteven Grzbielok
This presentation is designed to give an overview about differences of both virtualization methods to provide the reader with the fundamental knowledge to decide in each use case which technology is more suitable.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
Containers vs. VMs: It's All About the Apps!Steve Wilson
There has been much hype about whether Containers will replace Virtual Machines for use in Cloud architectures. We’ll look at the strengths of each technology and how they apply in real-world usage. By taking a top-down (Application-first) approach to requirements analysis, versus a bottoms-up (Infrastructure-first) approach, we can see how unique architectures will emerge that can balance the needs of Developers, DevOps and corporate IT.
Docker is an open-source implementation of the deployment engine .
-No Guest OS
-Rides on the already existing kernel’s
- Uses LinuX Containers (LXC) running in the host OS
- Only Container, Apps on Container
As Docker containers become the new standard, learn about what's catapulting them to the head of the pack and how to best protect their assets now and later with the help of Unitrends.
OpenStack, Containers, and Docker: The Future of Application Deployment
Twenty years ago, developers built static applications on well-defined stacks that ran on proprietary, monolithic hardware. Developers today want freedom to build applications using their choice of services and stacks and, ideally, want to be able to run those applications on any available hardware. Of course, this raises questions about service interaction, the practicality of migrating applications across environments, and the challenges of managing unlimited combinations of services and hardware environment.
By promoting an opensource approach to flexible and inter-operable infrastructure, OpenStack goes a long way towards achieving this vision of the future. This talk discusses the application and platform side of the equation, and the interplay between OpenStack, Container technology (e.g. LXC), and the opensource Docker.io project. Docker.io enables any application and its dependencies to be deployed as lightweight containers that run consistently virtually anywhere. The same containerized application that runs on a developer's laptop can run consistently on a bare metal server, an OpenStack cluster, a Rackspace cloud, a VM,etc. While providing isolation and compatibility, containers have significant size, performance, and deployment advantages over traditional VMs.
Recently, the community created an integration between Docker and OpenStack Nova, opening up exciting possibilities for web scale application deployment, continuous integration and deployment, private PaaS, and hybrid cloud. This session will give an introduction to Docker and containers in the context of OpenStack, and will then demonstrate cross-environment deployment of applications.
Docker is the world's leading software containerization platform.
This is a comprehensive introduction to Docker, suitable for delivering in introductory meetups to an audience who does not know about docker.
In case you want to deliver this presentation somewhere, kindly drop me a mail at aditya.konarde@gmail.com
You can contact me at:
Connect with me onLinkedIN: https://www.linkedin.com/in/adityakonarde
Add me on Facebook: https://www.facebook.com/Aditya.Konarde
Tweet to me @aditya_konarde
The challenge of application distribution - Introduction to Docker (2014 dec ...Sébastien Portebois
Live recording with the demos: https://www.youtube.com/watch?v=0XRcmJEiZOM
Contents
- The application distribution challenge
- The current solutions
- Introduction to Docker, Containers, and the Matrix from Hell
- Why people care: Separation of Concerns
- Technical Discussion
- Ecosystem, momentum
- How to build Docker images
- How to make containers talk to each other, how to handle data persistence
- Demo 1: isolation
- Demo 2: real case - installing Go Math! Academy, tail –f containers, unit tests
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Docker - Demo on PHP Application deployment Arun prasath
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
In this demo, I will show how to build a Apache image from a Dockerfile and deploy a PHP application which is present in an external folder using custom configuration files.
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
Docker - A high level introduction to dockers and containersDr Ganesh Iyer
A high level introduction to Dockers and Containers. Many of the slides are not mine.I used the slides I got from Internet and prepared the rest of the slides based on my understand form various blogs and other google info.
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
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Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
1. Application deployment on Openstack
using Containers and Docker
BOSTON OPENSTACK MEETUP:
September 12, 2013
2. Contents
• Introduction to Docker (10 min)
• Docker and OpenStack (5 min)
• Demo of Docker (15 minutes)
• Demo of Docker + OpenStack (10 minutes)
• Q&A
3. In the 5 months since we launched
• >60,000 pulls
• >6,500 github stars
• >150 significant contributors
• >150 projects built on top of docker
• UIs, mini-PaaS, Remote Desktop….
• 1000’s of Dockerized applications
• Memcached, Redis, Node.js…and Hadoop
• Integration in Jenkins, Travis, Chef,
Puppet, Vagrant and OpenStack
• Meetups arranged around the
world…with organizations like Ebay,
Cloudflare, and Rackspace presenting on
their use of Docker
10. Static website Web frontendUser DB Queue Analytics DB
Development
VM
QA server Public Cloud Contributor’s
laptop
Docker is a shipping container system for codeMultiplicityofStacks
Multiplicityof
hardware
environments
Production
Cluster
Customer Data
Center
Doservicesandapps
interact
appropriately?
CanImigrate
smoothlyandquickly
…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform
An engine that enables any
payload to be encapsulated
as a lightweight, portable,
self-sufficient container…
11. 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
Docker eliminates the matrix from Hell
12. 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
• * Today—we require a modern Linux kernel and AUFS. These requirements will be relaxed significantly with the 0.8 release of
Docker. See http://blog.docker.io/2013/08/getting-to-docker-1-0/
13. 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
14. App
A
Containers vs. VMs
Hypervisor (Type 2)
Host OS
Server
Guest
OS
Bins/
Libs
App
A’
Guest
OS
Bins/
Libs
App
B
Guest
OS
Bins/
Libs
AppA’
Docker
Host OS
Server
Bins/Libs
AppA
Bins/Libs
AppB
AppB’
AppB’
AppB’
VM
Container
Containers are isolated,
but share OS and, where
appropriate, bins/libraries
Guest
OS
Guest
OS
…result is significantly faster deployment,
much less overhead, easier migration,
faster restart
15. Why are Docker containers lightweight?
Bins/
Libs
App
A
Original App
(No OS to take
up space, resources,
or require restart)
AppΔ
Bins/
App
A
Bins/
Libs
App
A’
Guest
OS
Bins/
Libs
Modified App
Union file system allows
us to only save the diffs
Between container A
and container
A’
VMs
Every app, every copy of an
app, and every slight modification
of the app requires a new virtual server
App
A
Guest
OS
Bins/
Libs
Copy of
App
No OS. Can
Share bins/libs
App
A
Guest
OS
Guest
OS
VMs Containers
16. What are the basics of the Docker system?
Source
Code
Repository
Dockerfile
For
A
Docker Engine
Docker
Container
Image
Registry
Build
Docker
Host 2 OS (Linux)
ContainerA
ContainerB
ContainerC
ContainerA
Push
Search
Pull
Run
Host 1 OS (Linux)
17. Changes and Updates
Docker Engine
Docker
Container
Image
Registry
Docker Engine
Push
Update
Bins/
Libs
App
A
AppΔ
Bins/
Base
Container
Image
Host is now running A’’
Container
Mod A’’
AppΔ
Bins/
Bins/
Libs
App
A
Bins/
Bins/
Libs
App
A’’
Host running A wants to upgrade to A’’.
Requests update. Gets only diffs
Container
Mod A’
18. Docker Futures
• Stabilizing: Docker 0.8 in October
• Shrink and stabilize Core
• Provide stable, pluggable API
• Expanding runtime environments:
• OpenStack: announced
• Docker as various flavors of VM
(AMI, vdf, etc.)-This week
• Increase compatible kernel set-
October
• Increase compatible Union FS set-
October
• IaaS compatibility-Ongoing
• Dev/devops tools integrations:
Ongoing
• Chef, Puppet, Vagrant, GitHub,
Travis, Buildbot,
• Various flavors of PaaS & IDE
20. Why Docker + OpenStack
• Alternative to VMs within OpenStack-today
• Easier deployment of OpenStack itself-near future
• Cross cloud application deployment
• At OpenStack Summit we hope to show:
• Building and testing an application from source
• Running on a laptop
• Running it, without modification or noticeable downtime, on a public cloud
• Running it, without modification or noticeable downtime, on an openstack
cluster
• Doing all of the above using Nova and Horizon
21. Why a new hypervisor?
• Nova a computing controller for OpenStack
• Nova support for containers is minimal (via LibVirt)
• Enables control of Docker through OpenStack projects (ex: deploy
containers via Horizon Web UI)
24. New Nova hypervisor in Havana
Deploy Containers instead of VMs
by Sam Alba
@sam_alba
Sep 2013
25. What is all of that?
● Nova is a computing controller for OpenStack
● Havana is the name of the next release (10/17/2013)
● Nova already supports several hypervisors:
○ KVM (through qemu), Xen, VMWare, HyperV, PowerVM, etc...
○ Docker
Sep 2013
Nova is not just for Virtual Machines...
it’s a computing controller!
27. How to use it? (with DevStack)
Sep 2013
Prerequisites:
● Ubuntu Precise 12.04
● Kernel >3.2 supporting AUFS
● >=1GB of RAM available
● Check that socat and git installed
sudo apt-get install socat git
28. How to use it? (with DevStack)
Sep 2013
Install devstack and docker
… and test that everything went well
git clone https://github.com/openstack-dev/devstack.git
cd devstack
echo VIRT_DRIVER=docker >> localrc
./tools/docker/install_docker.sh
./stack.sh
./exercises/docker
29. How to use it? (with DevStack)
Sep 2013
Start a container!
cd devstack
. openrc
nova boot --image "docker-busybox:latest"
--flavor m1.nano myinstance
nova show myinstance
docker ps
30. How to use it? (with DevStack)
Sep 2013
Use public images!
It requires to duplicate images to Glance (by using docker)
cd devstack
. openrc
docker pull vieux/goplay
HOST_IP=$(docker images | grep :5042/docker-busybox
| cut -d: -f1)
docker tag vieux/goplay $HOST_IP:5042/vieux/goplay
docker push $HOST_IP:5042/vieux/goplay