The document discusses the architecture and internals of Docker and container virtualization, detailing how containers utilize Linux kernel features to create lightweight, portable environments for applications. It highlights benefits such as faster application delivery, easier deployment and scaling, and better resource utilization across various platforms. Additionally, it covers Docker's commercial solutions, orchestration tool enhancements, and integration with cloud services for improved multi-host networking and application portability.

1. Jun 27th

2. Virtualization
, Containers
Docker
Architecture
Internals
Docker
Working
Docker
Orchestration
Docker
outside

4. Virtualization refers to the act of creating a virtual (rather than actual)
version of something, including (but not limited to) a virtual computer
hardware platform, operating system (OS), storage device, or computer
network resources

5. - Containers aren’t a new concept

6.  Use Linux kernel isolation features to give a
VM like environment.
 Docker, Lxc, Rkt, lmctfy

9. “Automates the deployment of any
application as a lightweight, portable,
self-sufficient container
that will run virtually anywhere”

10.  Faster delivery of your applications
 Deploying and scaling more easily
 Achieving higher density and running more workloads
 Portable deployment across machines
 Versioning
 Component reuse
 Shared libraries

12. Static website Web frontendUser DB Queue Analytics DB
Development
VM
QA server Public Cloud Contributor’s
laptop
MultiplicityofStacks
Multiplicityof
hardware
environments
Production
Cluster
Customer Data
Center
Doservicesand
appsinteract
appropriately?
CanImigrate
smoothlyand
quickly
…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…
Slide Reference: DockerCon

16. Quick Demo….

17. Source Code
Repository
Dockerfil
e
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)

21. namespaces
pid
mnt
net
uts
ipc
user
cgroups
memory
cpu
blkio
devices
Docker is written in the lightweight Go language,
and it uses helper scripts to create containers as
lightweight machines

25. Pull the image from Docker Repository
docker pull sequenceiq/spark:1.4.0
Building the image
docker build --rm -t sequenceiq/spark:1.4.0 .
Running the image
docker run -it -p 8088:8088 -p 8042:8042 -h sandbox sequenceiq/spark:1.4.0 bash

26. FROM java:7
MAINTAINER nvn_ravi@hotmail.com
COPY . /usr/src/myapp
WORKDIR /usr/src/myapp
RUN javac Main.java
CMD ["java", "Main"]

27. • FROM
• The name:tag of the parent image that this image will be based on
• MAINTAINER
• Optional line for documenting who does the care and feeding for this image.
Typically an email address or name.
• RUN <command>
• A command to run in the container to adjust something on this image.This
runs at the time of the docker build command.
• EXPOSE
• WhatTCP ports should be exposed on the host when docker run -P is used
• ADD <src>... <dest>
• Add files from the src directory in the context of the build to the container
filesystem at dest
• CMD command param1 param2
• Unless otherwise specified by the docker run command, run this command
when the container is started with this image

47.  Docker Announces General Availability of Comprehensive
Commercial Solutions
 DockerTrusted Registry (DTR)
 Docker’s ‘Container-as-a-Service’ Solution Delivers Agility
to Devs and Control to Ops
 Large Financial Services Firm Uses Docker to Accelerate
“Big Data” Analyses
 Docker Delivers Native Multi-Host Networking to Advance
Distributed Application Portability
 Multi-host (SDN)That Delivers Application Portability
 Docker Plugin Architecture Exponentially Grows Options
for Users and Opportunity forTechnology Partners
 ClusterHQ, Glider Labs andWeaveworks
 OrchestrationTool Enhancements

50. • Nova-docker
–Virt driver for Nova
– Basic start and stop (basicVM lifecycle)
• Heat Resource
– Create containers on Nova instances
– Represent them in HOT files
– No resource scheduler
– Native management interface only
• Magnum
– OpenStack Service for Containers as a first
class resource
• Integrates with Keystone
• Integrates with Heat
• Multi-Tenant
• AsynchronousAPI
• Concepts for Node, Bay, Pod, Container, Service,
Replication Controller