1. Intro about Contanier and Docker Technology

2. Who Am I? Khaled Eldesouky Sr. Technical Consultant VMware vExpert
Blogger
Docker Community Leader in Riyadh
VMUG Leader in Saudi Arabia
Blog :

3. Agenda Introduction about Contanier Technology Docker Technology 101
Demo
tell attendees to download Toolbox + pull images

4. A Brief History of Container Technology
2015 – OCI
2014 – rkt
2013 – Docker
2013 – LMCTFY
2011 – Warden
2008 – LXC
2007 – AIX (6.1) WPARS
2007 – cgroups in Linux Kernel (2.6.24)
2006 – Process Containers
2005 – openvz
2004 – Solaris Zones
2001 – Linux vserver
2000 – FreeBSD jails
1979 – Unix V7 added chroot

5. Introducing Containers
Containerization uses the kernel on the host operating system to run multiple root file systems
Containers are the products of operating system virtualization. They provide a lightweight virtual environment that groups and isolates a set of processes and resources such as memory, CPU, disk, etc., from the host and any other containers. The isolation guarantees that any processes inside the container cannot see any processes or resources outside the container.
Each root file system is called a container
Each container also has its own
Processes
Memory
Devices
Network stack
This led us to the concept of container based virtualization. Container based virtualization uses the kernel on the host’s operating system to run multiple guest instances. Each guest instance is called a container and each container will have its own root filesystem, processes, memory, devices and network stack.
From the outside, it looks and operates like a VM but it is not a VM.
V0.6 revision
Removed virtualization from description and guest instances changed to root filesystem

6. Containers Server could be physical or virtual
Transcript: This diagram shows us an overview of how containers work. We have our server, and this server can actually be a physical machine or it could be a virtual server. We install our operating system. The container’s that we create, interact with the OS kernel. It uses certain features of the kernel to create an isolated application platform. Within each container, we then install our application and all the libraries that our application depends on.
Now you might be wondering, well why not just install all those applications without using the containers? That’s actually quite tricky. Most applications need to use various third party libraries. Say we have 3 Java applications we want to run and each one uses a different version of Java or needs a different JVM implementation. It’s very difficult to have all 3 running on the same machine without conflicts. By using containers, we can isolate these runtime environments and eliminate the potential for conflicts.

7. Namespaces
Namespaces are a Linux kernel feature that isolates and virtualizes resources (PID, hostname, userid, network, ipc, filesystem) of a collection of processes.
Provide processes with their own view of the system
Each process is in one namespace of each type

8. Control groups
cgroups (control groups) is a Linux kernel feature that limits, accounts for, and isolates the resource usage (CPU, memory, disk I/O, network, etc.) of a collection of processes.

9. Hardware virtualization operating system virtualization
Containers vs. VMs
Hardware virtualization
operating system virtualization

10. VMs

11. Containers

12. Results in N X N compatibility nightmare
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 ?

13. Docker is a shipping container system for code
Static website
User DB
Analytics DB
Web frontend
Queue
Do services and apps interact appropriately?
Multiplicity of Stacks
An engine that enables any payload to be encapsulated as a lightweight, portable, self-sufficient container…
…that can be manipulated using standard operations and run consistently on virtually any hardware platform
Multiplicity of hardware environments
Can I migrate smoothly and quickly
Development VM
QA server
Customer Data Center
Public Cloud
Production Cluster
Contributor’s laptop

14. Docker solves the NXN problem
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

15. A Brief History of Docker
Solomon Hykes started Docker in France as an internal project within dotCloud,
Docker was released as open source in March 2013.

16. Docker 101 The Docker Project Docker Inc
Open Source Project
4.1B+ Docker Image Downloads
2000+ contributors
40K+ GitHub stars
460K+ Dockerized apps
240 Meetups in 70 countries
125K Meetup members
Containers as a Service provider
Integrated platform for dev and IT
Commercial technical support
Docker project sponsor
Primary sponsor of Docker project
Supports project maintainers

17. is a “Shipping Container” for Code
Developers because …
Frictionless deployment and maximum portability
On developer laptop:
Then on server:
That’s it!! A natural fit for 3rd Platform, 12 factor, microservices
It makes DevOps much much easier
~# docker build my_app
~# docker push my_app ~#
~# docker pull my_app
~# docker run my_app ~#

18. Docker Basics
Docker Image The basis of a Docker container Docker Container The standard unit in which the application service resides Docker Engine Creates, ships and runs Docker containers deployable on physical or virtual host locally, in a datacenter or cloud service provider Docker Trusted Registry For image storing and secure collaboration
Container
The standard unit in which the application service resides
Package app and dependencies together
Isolated from other containers
One container per app / service
Docker Engine
The program that creates, ships and runs containers
Deployable on any physical or vm host locally, in datacenters or cloud
Communicates with Docker Hub
Docker Hub
The service that store, distributes and manages container images
Receives commands from Docker Client via Engine
Access control with public, private repos
Deployment Models
Docker Hub (Docker hosted SaaS)
Docker Hub Enterprise (you select infrastructure)
Service Providers

19. Orchestration Swarm Compose
A powerful, scalable clustering solution for Docker engines
Tool can leverage all existing Docker APIs
Compose
Allows users to deploy multi-container applications into any Dockerized environment with Compose

20. Docker Datacenter
Docker commercial CaaS solution for an on-premises or virtual private cloud environment
Operating Systems
CI/CD
Images
Networking
Volumes
Config Mgt
Monitoring
Logging
..more..
Docker Universal Control Plane
App and cluster management
Security
Content Trust, RBAC, LDAP/AD
Docker Trusted Registry
Image management and distribution
Docker Engine
Container runtime, orchestration, networking, volumes, plugins
Infrastructure
Public Cloud
Virtualization
Physical/Converged

21. The Docker ecosystem Official Repositories Networking Dev Tools
Infrastructure & Service Providers
Networking
Dev Tools
Clustering & Scheduling
Operating Systems
Storage
Big Data
Management
Service Discovery
Security
Monitoring & Logging
Build / Continuous Integration
Consulting &Training
Configuration Management
Storage

22. CONFIDENTIAL
What do I mean by the future…

23. Let’s get started with this Docker Training!
go to github: birthday-3/

24. Thanks
Demo Tutum and Docker Hub