Quick Intro to #Containers & #Docker | Truth in IT: Enterprise Tech via Video

This presentation will give you a quick introduction to Docker & how containers are built, run & shared.

docker, container, nfv, data, center, virtualization, vm, virtual, machines

Quick Intro to #Containers & #Docker

Published by: Ekovox
Date: 09/04/2017
Views: 285
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This presentation will give you a quick introduction to Docker & how containers are built, run & shared.

Transcript:

00:02

welcome to this Alan talks tech

00:04

presentation on containers and docker if

00:07

you would like more information on

00:08

spirent and how to test please visit our

00:11

website at wwc are calm if you would

00:15

like to view other alan talk tech

00:17

presentations simply search on youtube

00:20

for alan talks tech if you would like to

00:23

get a copy of this presentation along

00:24

with many others please visit my wiki at

00:27

Alan test wiki pbworks com now let's

00:36

take a look at what many believe is

00:39

going to be the next step in network

00:41

functions virtualization or NFV of

00:49

course we are all familiar with shipping

00:52

containers these are being used for many

00:54

years as a very efficient and standard

00:56

means of shipping our goods all over the

00:59

planet a few years ago when i was giving

01:06

presentations on how data centers were

01:08

being put together i described one novel

01:10

concept we're shipping containers were

01:13

pre-configured with all the hardware

01:15

required to build a data center in fact

01:18

each container was a mini data center in

01:21

its own right all that was required was

01:24

for the container to be hooked up to

01:26

power cooling and communications and the

01:29

system was ready to go multiple

01:32

containers could simply be racked and

01:34

stacked to create very large data

01:36

centers such as this microsoft data

01:39

center in North Lake Illinois today we

01:47

are using containers again to help build

01:49

the data center but these are software

01:52

containers not physical shipping

01:54

containers each container is very much

01:56

like a virtual machine containing the

01:59

applications OS requirements and all of

02:02

the operating dependencies

02:08

so let's take a look at how virtual

02:11

machines and containers stack up

02:13

alongside each other VMS require a

02:17

physical server or metal to run on they

02:20

also require a hypervisor the VMS run on

02:24

top the hypervisor each VM will then

02:26

need an operating system to support the

02:29

applications on the other hand

02:33

containers only need the physical server

02:35

or metal and one instance of an

02:38

operating system we do not need to load

02:41

an operating system for each container

02:43

as we would for a virtual machine the

02:46

container does not need a vm as each

02:48

container is sharing the common OS

02:51

kernel overall the containers are much

02:54

more lightweight as only one operating

02:57

system typically a very stripped down

02:59

linux operating system utilizing a

03:03

system such as core OS in addition as no

03:08

vm is required far fewer system

03:10

resources are needed and the container

03:12

along with its applications will deploy

03:15

much more rapidly the OS is already

03:19

running as a rule of thumb many people

03:21

believe that up to six containers or six

03:24

times as many containers may be run on

03:27

any given platform or metal compared to

03:30

virtual machines

03:35

dr. is built on top of linux containers

03:39

or lxc and adds image management and

03:42

deployment assistance for virtualizing

03:44

applications docker provides for

03:47

automation and rapid revision of lenox

03:50

container groups without requiring a

03:52

virtual machine docker provides an API

03:55

and applications programmable interface

03:58

that extends the functionality of alexey

04:01

or linux containers for building

04:03

platform as a service offerings darker

04:07

today is one of the most popular methods

04:09

for building running managing and

04:12

distributing containers there are other

04:15

packages available for helping you build

04:17

a container but as I said by far docker

04:20

is way ahead of most of the other

04:22

competing systems

04:28

let's take a look at how you can build

04:31

and share a container firstly docker is

04:34

a client-server application building a

04:38

container to run an application is a

04:40

little like making a cake first we need

04:43

to start with a recipe this is called

04:46

the dockerfile the dockerfile is a

04:48

default name given to the file that

04:51

docker will use to build the image the

04:54

image in turn will then provide

04:56

everything that is required to run the

04:58

container the image may be large but the

05:01

actual running container holding

05:03

application and its dependencies may be

05:05

very light only the required components

05:09

all dependencies from the image will be

05:11

used to run the container remember the

05:14

basic OS is already running and will be

05:17

used by the container this is one of the

05:20

key reasons that containers are so fast

05:22

to spin up containers do not need to

05:24

start relatively complex of em and then

05:27

wait for the OS to boot up so when

05:31

building a docker file for example to

05:34

run an Apache server you would add the

05:37

Apache code or tell the file where to

05:40

get the code from and some information

05:43

on where to get a bunt to from add your

05:46

HTML files or point to where the HTML

05:49

files are then using your docker client

05:52

you can tell the docker host to build

05:55

the image you can then run the image as

05:58

a container if you're happy with the

06:00

image you can then push the image up

06:03

into the docker registry as I said

06:06

docker contains two components the

06:09

daemon runs on a host machine and does

06:11

the heavy lifting of building running

06:13

and distributing docker containers the

06:16

client is a docker binary that accepts

06:19

commands from the user and communicates

06:21

back and forth with the daemon for many

06:25

of us when we're building the container

06:27

will often be using the same PC so the

06:30

client and the host will be all residing

06:32

on the same machine but it's also

06:34

possible and it gives us a lot of

06:36

flexibility that the daemon can run up

06:38

in

06:38

cloud so from my pc i can run the client

06:41

but i could build the container build

06:43

the images up in the cloud and of course

06:45

i can store those images which are used

06:49

to build the containers up in the docker

06:51

registry which is effectively up in the

06:53

cloud using the docker registry to build

06:59

your system once you've built all of

07:01

your containers with all of the required

07:03

applications each container can be a

07:07

separate application all of the

07:09

containers or applications can be stored

07:11

in the registry and pull down and

07:13

deployed on our server as required of

07:16

course others may also share these

07:19

containers with their pre-configured

07:21

applications and dependencies making

07:24

containers very portable across two

07:26

different operating environments the

07:29

registry can either be a public or

07:31

private registry either on the docker

07:33

cloud or on a private corporate server I

07:41

hope you found this presentation on

07:44

containers and docker useful again if

07:47

you'd like to get additional information

07:48

on spirent and what our testing

07:50

capabilities are please visit our

07:52

website at wwc are calm you can also of

07:57

course look at other YouTube videos by

07:59

searching on Allen talks tech and if

08:02

you'd like a copy of this presentation

08:03

along with many other more detailed

08:06

presentations please visit my wiki at

08:08

Allen test wiki pbworks com once again

08:14

thank you for viewing

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