1.
1
Microservices with Node & Docker
Tony Pujals
CTO & Co-Founder, Atomiq

2.
Monolithic Architecture
2

3.
Data Access
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Data Access
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Data Access
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6.
Benefits of monolithic architecture
• Relatively straightforward
– Easier to develop, test, and debug code bundled together in a single executable process
– Fairly easy to reason about data flows and application behavior
• Deployment model is easy
– Application is deployed as a unit
• Scaling model is simple
– Scale up by installing on a more powerful server
– Scale out by placing behind a load balancer to distribute requests
6

7.
Deployment process historically significant
• Creating and maintaining server environments has historically been
– laborious and time-consuming
– expensive
• Consequently this imposed a practical limit on staging environments
• Typical staged pipeline would include some fixed number of servers
– (local) - developer's workstation
– dev (or sandbox) - first stage for developers to merge and test
– int - integration stage for developers to test with external databases and other services
– qa (or test) - for functional and other types of testing
– uat - customer user experience testing and demo
– preprod (or staging) - exact replica of production environment for final verification tests
– production - live site
7

8.
Things improved over time
with the introduction of
• virtual machine technology
• vagrant
• puppet & chef
Nevertheless, despite positive labor, time, and infrastructure savings due
to virtualization, provisioning environments still remained burdensome.
8

9.
How is deployment process significant?
If the process to provision environments and move an application through
a pipeline is laborious and time-consuming, it makes sense to coordinate
larger releases that are worth the effort.
9

10.
Ramifications
• Inhibits continuous delivery
– Continuous delivery attempts to reduce the cost and risk associated with delivering
incremental changes in large part by automating as much of the deployment pipeline as
possible
– Nevertheless, as a practical matter for large complex applications there is too much effort,
cost, and risk involved in deploying an entire application just to update a single feature
• Sub-optimal scalability
– Practical limit on scaling up
– Scaling out is a relatively expensive and inefficient way to scale
• Not all components are under the same load, but can't scale out at the individual component
level because the unit of scaling is the entire application
10

11.
Ramifications (cont'd)
• Adverse impact on development
– Larger codebases are more difficult to maintain and extend, and as cognitive overhead
increases
• individual team members become less effective, contributions take greater effort
• quality is adversely affected
– Requires greater coordination among teams
• everything needs to be in phase for integration
– Entire team forced to march at cadence dictated by application release cycle
– Leads to more epic releases, with all the inherent effort and risks that implies
11

12.
Rise of Microservices
12

13.
Driving the microservice trend
• Proliferation of different types of connected devices, leading to an
emphasis on APIs, not applications
• Technology that makes distributed architecture as an alternative to
monolithic architecture easier
13

14.
14
APIs Drive Modern Apps

15.
Consequences of emphasis on APIs
• It becomes desirable for APIs to independently
– evolve
– deploy
– scale
• Potential for reducing codebase complexity
– through separation of concerns at a physical level
– codebase partitions at functional boundaries instead of layered boundaries
• Potential for reducing development friction
– Developers liberated from the constraint of delivering and integrating functionality as part
of a larger complex bundle
– API teams can move at their own cadence and deploy more frequently
15

16.
Enter Docker
• Container technology based on a legacy that goes back to
– chroot
– FreeBSD jails
– Solaris zones
– cgroups
– Linux containers (LXC)
• Provides the ability to run processes in isolated operating environments
– A Docker host provides the ability to run processes in isolation from each other
• grants controlled access to system resources and dedicated network configuration
– Unlike VMs, containers use a shared operating system kernel (don't need a guest OS)
– By not virtualizing hardware, containers are far more efficient in terms of system resources
– Containers launch essentially as quickly as a process can be started
Docker provides lightweight, isolated micro operating environments
with native process performance characteristics that make 16

17.
17

18.
18

19.
19

20.
Enter Node
• Docker provides an efficient operating environment for isolated
processes, but doesn't have anything to do with how the process is
developed
• Introduced in 2009, Node.js leverages Google's high performance V8
engine for running JavaScript
• JavaScript was a natural fit for a platform-wide asynchronous callback
programming model that exploited event-driven, non-blocking I/O
Node provides a platform for building lightweight, fast, and highly
scalable network services ideal for serving modern web APIs.
20

21.
21
Node network server
21
Constructing a high performance, callback-based HTTP server is as simple as the
following script:
var http = require('http');
http.createServer(function (req, res) {
res.writeHead(200, {'Content-Type': 'application/json'});
res.end('{ "message": "Hello World" }');
}).listen(3000);
console.log('Server listening at http://127.0.0.1:1337/');

22.
22
Launching the server
22
$ node server.js
Server listening at http://127.0.0.1:3000/

23.
23https://modulecounts.com/

24.
24https://npmjs.com/

25.
Node's advantages for microservices
• Lightweight HTTP server processes
Node runtime is based on Google's well-regarded open source, high performance V8 engine:
– Compiles JavaScript to native machine code
– Machine code undergoes dynamic optimization during runtime
– V8 is highly tuned for fast startup time, small initial memory footprint, and strong peak
performance
• Highly scalable
– Node platform designed from the onset for end-to-end asynchronous I/O for high scalability
– No extraordinary operating requirements to support high scalability, so cost and complexity
are not special concerns for deployment
• Lightweight for developers
– Minimal ceremony involved in creating, publishing, and consuming packages
– Encourages high degree of modularization with lightweight, tightly-focused packages
25

26.
Recommendation for teams
• Don't complicate things
– The Java and .NET platforms evolved in part to address the burden of developing, configuring
and deploying a complex codebase, bundle of related artifacts, and requisite services
– The cornerstone of these platforms are type-safe, object-oriented programming languages with
heavy emphasis on class hierarchies, domain models, and design patterns like inversion of
control through dependency injection, to help developers mediate the challenges of large
codebases
– Node microservices should be small, easy to reason about, test, and debug
• Polyglot is OK
– JavaScript isn't the best language for everything
– Use workers for compute-intensive work or for work best implemented with another language
more suited for particular types of computing problems
– Use Node as the common REST API layer -- don't be polyglot for REST API code
26

27.
Takeaway
The convergence of Node and Docker container technology is very well
suited for implementing microservice architecture
• Docker makes running server processes in isolated compute environments (containers)
cheap and easy. Containers are extremely efficient in terms of system resources and
provide excellent performance characteristics, including fast starts.
• Node provides a high performance platform that supports high scalability with lightweight
server processes. Its simple package management system makes creating, publishing,
and consuming packages easy, facilitating and streamlining the process of building and
deploying lightweight services.
• Organizations can achieve higher productivity and quality overall because developers
focus their energy on building smaller, narrowly-focused services partitioned along
functional boundaries. There is less friction and cognitive overhead with this approach, and
services can evolve, be deployed, and scale independently of others.
27

28.
Working with Docker Machine
28

29.
29
List machines
29
docker-machine ls
$ docker-machine ls
NAME ACTIVE DRIVER STATE URL SWARM
default * virtualbox Saved
$

30.
30
Create a new machine (Docker host)
30
docker-machine create --driver driver-name machine-name
docker-machine create –d driver-name machine-name
$ docker-machine create --driver virtualbox machine1
Creating VirtualBox VM...
Creating SSH key...
Starting VirtualBox VM...
Starting VM...
To see how to connect Docker to this machine, run: docker-machine env machine1
$

31.
31
List machines again
31
Can see the new Docker machine is running
$ docker-machine ls
NAME ACTIVE DRIVER STATE URL SWARM
default * virtualbox Saved
machine2 virtualbox Running tcp://192.168.99.100:2376
$

32.
32
Tell Docker client to use the new machine
32
eval "$(docker-machine env machine-name)"
$ docker-machine env machine1
export DOCKER_TLS_VERIFY="1"
export DOCKER_HOST="tcp://192.168.99.100:2376"
export DOCKER_CERT_PATH="/Users/tony/.docker/machine/machines/machine1"
export DOCKER_MACHINE_NAME="machine1"
# Run this command to configure your shell:
# eval "$(docker-machine env machine1)"
$

33.
33
Tell Docker client to use the new machine
33
eval "$(docker-machine env machine-name)"
$ docker-machine env machine1
export DOCKER_TLS_VERIFY="1"
export DOCKER_HOST="tcp://192.168.99.100:2376"
export DOCKER_CERT_PATH="/Users/tony/.docker/machine/machines/machine1"
export DOCKER_MACHINE_NAME="machine1"
# Run this command to configure your shell:
# eval "$(docker-machine env machine1)"
$
Displays
environment
settings you
should use to
configure your
shell

34.
34
Tell Docker client to use the new machine
34
eval "$(docker-machine env machine-name)"
$ docker-machine env machine1
export DOCKER_TLS_VERIFY="1"
export DOCKER_HOST="tcp://192.168.99.100:2376"
export DOCKER_CERT_PATH="/Users/tony/.docker/machine/machines/machine1"
export DOCKER_MACHINE_NAME="machine1"
# Run this command to configure your shell:
# eval "$(docker-machine env machine1)"
$ eval "$(docker-machine env machine1)"
$ Evaluates the
environment
settings in the
current shell
Displays
environment
settings you
should use to
configure your
shell

35.
35
Stop and start a machine
35
docker-machine stop|start machine-name
$ docker-machine stop machine1
$ docker-machine start machine1
Started machines may have new IP addresses. You may need to re-run the `docker-machine env` command.
$

36.
36
ssh into the machine
36
docker-machine ssh machine-name
$ docker-machine ssh machine1
## .
## ## ## ==
## ## ## ## ## ===
/"""""""""""""""""___/ ===
~~~ {~~ ~~~~ ~~~ ~~~~ ~~~ ~ / ===- ~~~
______ o __/
__/
___________/
_ _ ____ _ _
| |__ ___ ___ | |_|___ __| | ___ ___| | _____ _ __
| '_ / _ / _ | __| __) / _` |/ _ / __| |/ / _ '__|
| |_) | (_) | (_) | |_ / __/ (_| | (_) | (__| < __/ |
|_.__/ ___/ ___/ __|_______,_|___/ ___|_|____|_|
Boot2Docker version 1.8.2, build master : aba6192 - Thu Sep 10 20:58:17 UTC 2015
Docker version 1.8.2, build 0a8c2e3
docker@machine1:~$

37.
Create a machine using other drivers
https://docs.docker.com/machine/drivers/
• Amazon Web Services (amazonec2)
• DigitalOcean (digitalocean)
• Exoscale (exoscale)
• Google Compute Engine (google)
• Generic (generic) - for existing host with ssh
• Microsoft Azure (azure)
• Microsoft Hyper-V (hyper-v)
• OpenStack (openstack)
• Rackspace (rackspace)
• IBM Softlayer (softlayer)
37
docker-machine create –d driver-name machine-name

38.
DigitalOcean Example
38

39.
39
Create a DigitalOcean personal access token:
https://cloud.digitalocean.com/settings/applications
$ export DIGITALOCEAN_ACCESS_TOKEN='...'
1

40.
40
Create a DigitalOcean personal access token:
https://cloud.digitalocean.com/settings/applications
$ export DIGITALOCEAN_ACCESS_TOKEN='...'
Create a machine
$ docker-machine create --driver digitalocean demo
Creating SSH key...
Creating Digital Ocean droplet...
To see how to connect Docker to this machine, run: docker-machine env demo
1
2

41.
41
Create a DigitalOcean personal access token:
https://cloud.digitalocean.com/settings/applications
$ export DIGITALOCEAN_ACCESS_TOKEN='...'
Create a machine
$ docker-machine create --driver digitalocean demo
Creating SSH key...
Creating Digital Ocean droplet...
To see how to connect Docker to this machine, run: docker-machine env demo
Set docker client shell environment
$ eval "$(docker-machine env demo)"
1
2
3

42.
4242
Create a DigitalOcean personal access token:
https://cloud.digitalocean.com/settings/applications
$ export DIGITALOCEAN_ACCESS_TOKEN='...'
Create a machine
$ docker-machine create --driver digitalocean demo
Creating SSH key...
Creating Digital Ocean droplet...
To see how to connect Docker to this machine, run: docker-machine env demo
Set docker client shell environment
$ eval "$(docker-machine env demo)"
List the machine
NAME ACTIVE DRIVER STATE URL SWARM
demo digitalocean Running tcp://107.170.201.137:2376
1
2
3
4

43.
Working with Docker
43

44.
44
Launch a container to run a command
44
docker run --rm image [cmd]
$ docker run --rm alpine echo hello
hello

45.
45
Launch a container to run a command
45
docker run --rm image [cmd]
$ docker run --rm alpine echo hello
hello
Create a container from
this image

46.
46
Launch a container to run a command
46
docker run --rm image [cmd]
$ docker run --rm alpine echo hello
hello
Run this command in the
container
Create a container from
this image

47.
47
Launch a container to run a command
47
docker run --rm image [cmd]
$ docker run --rm alpine echo hello
hello
Automatically clean up
(remove the container's file
system) when the
container exits
Run this command in the
container
Create a container from
this image

48.
48
Launch a container to run an interactive command
48
docker run --rm -i -t image [cmd]
docker run --rm -it image [cmd]
docker $ docker run -it --rm alpine sh
/ # ls -l
total 48
drwxr-xr-x 2 root root 4096 Jun 12 19:19 bin
drwxr-xr-x 5 root root 380 Oct 13 02:18 dev
drwxr-xr-x 15 root root 4096 Oct 13 02:18 etc
drwxr-xr-x 2 root root 4096 Jun 12 19:19 home
drwxr-xr-x 6 root root 4096 Jun 12 19:19 lib
lrwxrwxrwx 1 root root 12 Jun 12 19:19 linuxrc -> /bin/busybox
drwxr-xr-x 5 root root 4096 Jun 12 19:19 media
drwxr-xr-x 2 root root 4096 Jun 12 19:19 mnt
dr-xr-xr-x 150 root root 0 Oct 13 02:18 proc
drwx------ 2 root root 4096 Oct 13 02:18 root
drwxr-xr-x 2 root root 4096 Jun 12 19:19 run
drwxr-xr-x 2 root root 4096 Jun 12 12 19:19 sbin
dr-xr-xr-x 13 root root 0 Oct 13 02:18 sys
drwxrwxrwt 2 root root 4096 Jun 12 19:19 tmp
drwxr-xr-x 7 root root 4096 Jun 12 19:19 usr
drwxr-xr-x 9 root root 4096 Jun 12 19:19 var
Run this command
in the container
sh is an interactive
command...

49.
49
Launch a container to run an interactive command
49
docker run --rm -i -t image [cmd]
docker run --rm -it image [cmd]
docker $ docker run --rm -it alpine sh
/ # ls -l
total 48
drwxr-xr-x 2 root root 4096 Jun 12 19:19 bin
drwxr-xr-x 5 root root 380 Oct 13 02:18 dev
drwxr-xr-x 15 root root 4096 Oct 13 02:18 etc
drwxr-xr-x 2 root root 4096 Jun 12 19:19 home
drwxr-xr-x 6 root root 4096 Jun 12 19:19 lib
lrwxrwxrwx 1 root root 12 Jun 12 19:19 linuxrc -> /bin/busybox
drwxr-xr-x 5 root root 4096 Jun 12 19:19 media
drwxr-xr-x 2 root root 4096 Jun 12 19:19 mnt
dr-xr-xr-x 150 root root 0 Oct 13 02:18 proc
drwx------ 2 root root 4096 Oct 13 02:18 root
drwxr-xr-x 2 root root 4096 Jun 12 19:19 run
drwxr-xr-x 2 root root 4096 Jun 12 12 19:19 sbin
dr-xr-xr-x 13 root root 0 Oct 13 02:18 sys
drwxrwxrwt 2 root root 4096 Jun 12 19:19 tmp
drwxr-xr-x 7 root root 4096 Jun 12 19:19 usr
drwxr-xr-x 9 root root 4096 Jun 12 19:19 var
Run this command
in the container
sh is an interactive
command...
By default, the console is attached to all 3
standard streams of the process.
-i (--interactive) keeps STDIN open
-t allocates a pseudo-TTY (expected by
most command line processes) so you can
pass signals, like Ctrl-C (SIGINT)
The combination is needed for interactive
processes, like a shell

50.
Working with Docker and Node
50

51.
51
Pull the latest node image
51
docker pull node
$ docker pull node
Using default tag: latest
latest: Pulling from library/node
843e2bded498: Pull complete
8c00acfb0175: Pull complete
8b49fe88b40b: Pull complete
20b348f4d568: Pull complete
16b189cc8ce6: Pull complete
116f2940b0c5: Pull complete
1c4c600b16f4: Pull complete
971759ab10fc: Pull complete
bdf99c85d0f4: Pull complete
a3157e9edc18: Pull complete
library/node:latest: The image you are pulling has been verified. Important: image verification is a tech preview
feature and should not be relied on to provide security.
Digest: sha256:559f91e2f6823953800360976e42fb99316044e2f9242b4f322b85a4c23f4c4f
Status: Downloaded newer image for node:latest

52.
52
Run a container and display Node/npm version
52
docker run --rm node node -v; npm -v
$ docker run --rm node node -v; npm -v
v4.1.2
2.14.4

53.
53
Run a container to evaluate a Node statement
53
docker run --rm node node --eval "..."
$ docker run --rm node node -e "console.log('hello')"
hello

54.
54
Run the Node REPL in a container
54
docker run -it --rm node node
$ docker run --rm -it node node
> console.log('hello')
hello
undefined
>

55.
Running a simple Node app
55

56.
56
Create a package.json file
56
demo-app/package.json
{
"name": "simple-docker-node-demo",
"version": "1.0.0",
"scripts": {
"start": "node app.js"
}
}

57.
57
Add the express package
57
npm install --save express
$ npm install --save express

58.
58
Create app.js
58
demo-app/app.js
const app = require('express')();
const port = process.env.PORT || 3000;
app.use('/', function(req, res) {
res.json({ message: 'hello world' });
});
app.listen(port);
console.log('listening on port ' + port);

59.
59
Add a Dockerfile
59
demo-app/Dockerfile
FROM node:onbuild
expose 3000

60.
60
Add a .dockerignore
60
demo-app/.dockerignore
Dockerfile
.dockerignore
node_modules/

61.
61
Build the Docker image for the app
61
docker build -t image-tag .
$ docker build -t demo-app:v1 .
Sending build context to Docker daemon 5.12 kB
The path (or url to a Git repo) defines
the Docker build context.
All files are sent to the Docker daemon
and are available to Dockerfile
commands while building the image.

62.
62
Build the Docker image for the app
62
docker build -t image-tag .
$ docker build -t subfuzion/demo-app:v1 .
Sending build context to Docker daemon 5.12 kB
Docker images get assigned
Image IDs automatically, but you
should also provide a tag in this
form if you plan on publishing it:
user/repo:tag

63.
63
Build the Docker image for the app
63
docker build -t image-tag .
$ docker build -t subfuzion/demo-app:v1 .
Sending build context to Docker daemon 5.12 kB
Step 0 : FROM node:onbuild
# Executing 3 build triggers
Trigger 0, COPY package.json /usr/src/app/
Step 0 : COPY package.json /usr/src/app/
---> Using cache
Trigger 1, RUN npm install
Step 0 : RUN npm install
---> Using cache
Trigger 2, COPY . /usr/src/app
Step 0 : COPY . /usr/src/app
---> ab7beb9c0287
Removing intermediate container 676c92cf1528
Execution of the 1st statement in
the Dockerfile
FROM node:onbuild

64.
64
Node base image
64
https://github.com/nodejs/docker-node
4.2/onbuild/Dockerfile
FROM node:4.0.0
RUN mkdir -p /usr/src/app
WORKDIR /usr/src/app
ONBUILD COPY package.json /usr/src/app/
ONBUILD RUN npm install
ONBUILD COPY . /usr/src/app
CMD [ "npm", "start" ]
Create a directory in the image
and make it the working
directory for subsequent
commands

65.
65
Node base image
65
https://github.com/nodejs/docker-node
4.2/onbuild/Dockerfile
FROM node:4.0.0
RUN mkdir -p /usr/src/app
WORKDIR /usr/src/app
ONBUILD COPY package.json /usr/src/app/
ONBUILD RUN npm install
ONBUILD COPY . /usr/src/app
CMD [ "npm", "start" ]
Create a directory in the image
and make it the working
directory for subsequent
commands
When this image is used as a base for
another image (child image), these
instructions will be triggered.
As separate steps (layers), copy
package.json, run npm install, and finally
copy all the files (recursively) from the build
context.

66.
66
Node base image
66
https://github.com/nodejs/docker-node
4.2/onbuild/Dockerfile
FROM node:4.0.0
RUN mkdir -p /usr/src/app
WORKDIR /usr/src/app
ONBUILD COPY package.json /usr/src/app/
ONBUILD RUN npm install
ONBUILD COPY . /usr/src/app
CMD [ "npm", "start" ]
Create a directory in the image
and make it the working
directory for subsequent
commands
The command to execute when a
container is started
(can be overridden)
When this image is used as a base for
another image (child image), these
instructions will be triggered.
As separate steps (layers), copy
package.json, run npm install, and finally
copy all the files (recursively) from the build
context.

67.
67
Build the Docker image for the app
67
docker build -t image-tag .
$ docker build -t subfuzion/demo-app:v1 .
Sending build context to Docker daemon 5.12 kB
Step 0 : FROM node:onbuild
# Executing 3 build triggers
Trigger 0, COPY package.json /usr/src/app/
Step 0 : COPY package.json /usr/src/app/
---> Using cache
Trigger 1, RUN npm install
Step 0 : RUN npm install
---> Using cache
Trigger 2, COPY . /usr/src/app
Step 0 : COPY . /usr/src/app
---> ab7beb9c0287
Removing intermediate container 676c92cf1528
Step 1 : EXPOSE 3000
---> Running in f16d963adcb4
---> d785b0f27ffa
Removing intermediate container f16d963adcb4
Successfully built d785b0f27ffa
Execution of the 2nd statement
in the Dockerfile
EXPOSE 3000
The app will be listening to port
3000 in the container, but it
can't be accessed outside the
container unless exposed

68.
68
You can also add tags after building an image
68
docker tag image-id-or-tag tag
$ docker tag d785b0f27ffa subfuzion/demo-app:latest
or
$ docker tag subfuzion/demo-app:v1 subfuzion/demo-app:latest

69.
69
List the image
69
docker images
$ docker images
REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE
subfuzion/demo-app latest d785b0f27ffa 2 minutes ago 644.2 MB
subfuzion/demo-app v1 d785b0f27ffa 2 minutes ago 644.2 MB

70.
70
Run the Node app in a container
70
docker run --rm -t -p host-port:container-port image
$ docker run --rm -t -p 3000:3000 subfuzion/demo-app:v1
npm info it worked if it ends with ok
npm info using npm@2.14.2
npm info using node@v4.0.0
npm info prestart simple-docker-node-demo@1.0.0
npm info start simple-docker-node-demo@1.0.0
> simple-docker-node-demo@1.0.0 start /usr/src/app
> node app.js
listening on port 3000

71.
71
Run the Node app in a container
71
docker run --rm -t -p host-port:container-port image
$ docker run --rm -t -p 3000:3000 subfuzion/demo-app:v1
npm info it worked if it ends with ok
npm info using npm@2.14.2
npm info using node@v4.0.0
npm info prestart simple-docker-node-demo@1.0.0
npm info start simple-docker-node-demo@1.0.0
> simple-docker-node-demo@1.0.0 start /usr/src/app
> node app.js
listening on port 3000
Create a container from this
image and run the default
command
(npm start)

72.
72
Run the Node app in a container
72
docker run --rm -t -p host-port:container-port image
$ docker run --rm -t -p 3000:3000 subfuzion/demo-app:v1
npm info it worked if it ends with ok
npm info using npm@2.14.2
npm info using node@v4.0.0
npm info prestart simple-docker-node-demo@1.0.0
npm info start simple-docker-node-demo@1.0.0
> simple-docker-node-demo@1.0.0 start /usr/src/app
> node app.js
listening on port 3000
Map a port on the docker
machine to the container's
exposed port

73.
73
Run the Node app in a container in detached mode
73
docker run -d -t -p host-port:container-port image
$ docker run -d -t -p 80:3000 --name demo subfuzion/demo-app:v1
be76984370dd8e3aa4066af955eb54ab4116495007b7cd45743700804392555a
$ docker logs demo
npm info it worked if it ends with ok
npm info using npm@2.14.2
npm info using node@v4.0.0
npm info prestart simple-docker-node-demo@1.0.0
npm info start simple-docker-node-demo@1.0.0
> simple-docker-node-demo@1.0.0 start /usr/src/app
> node app.js
listening on port 3000

74.
74
Run the Node app in a container in detached mode
74
docker run -d -t -p host-port:container-port image
$ docker run -d -t -p 80:3000 --name demo subfuzion/demo-app:v1
be76984370dd8e3aa4066af955eb54ab4116495007b7cd45743700804392555a
$ docker logs demo
npm info it worked if it ends with ok
npm info using npm@2.14.2
npm info using node@v4.0.0
npm info prestart simple-docker-node-demo@1.0.0
npm info start simple-docker-node-demo@1.0.0
> simple-docker-node-demo@1.0.0 start /usr/src/app
> node app.js
listening on port 3000
Good idea to name your
containers, especially detached
ones

75.
7575
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS
PORTS NAMES
be76984370dd subfuzion/demo-app:v1 "npm start" 2 minutes ago Up 2 minutes
0.0.0.0:8000->3000/tcp demo
$ docker inspect demo
. . .
$ docker stop demo
demo
$ docker rm demo

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Accessing the running container
76
Mapped Docker machine port to container port, the IP
address will be the IP address of the machine
$ docker-machine ip machine1
192.168.99.100
$ curl http://192.168.99.100:8000
{"message":"hello world"}
# or
$ curl http://$(docker-machine ip machine1):8000
{"message":"hello world"}

77.
Link to Mongo container
77

78.
78
Create a Docker data volume container
78
$ docker create --name mongo-db -v /dbdata mongo /bin/true
b582fc52d80e62588816683479a99ce5c11d756372e008221e594af9dafd32a3

79.
79
Start Mongo container & attach data volume container
79
docker run -d --name mongo --volumes-from mongo-db mongo
80ecaa6958a6904ee26259b36ae75ed0e2cd6105e1f4f074243ddf868c491f54
# connect from a mongo client container
$ docker run -it --link mongo:mongo --rm mongo sh
-c 'exec mongo "$MONGO_PORT_27017_TCP_ADDR:$MONGO_PORT_27017_TCP_PORT/test"'
# backup database
$ docker run --rm --link mongo:mongo -v /root:/backup mongo bash
-c 'mongodump --out /backup --host $MONGO_PORT_27017_TCP_ADDR'
$ docker-machine scp -r dev:~/test .

80.
80
Link Node app container to Mongo container
80
$ docker run -p 49100:3000 --link mongo:mongo demo-app

81.
81
Docker provisions Node container environment
81
MONGO_ENV_MONGO_MAJOR=3.0
MONGO_PORT=tcp://172.17.0.89:27017
MONGO_ENV_MONGO_VERSION=3.0.3
MONGO_PORT_27017_TCP=tcp://172.17.0.89:27017
MONGO_PORT_27017_TCP_PROTO=tcp
MONGO_PORT_27017_TCP_ADDR=172.17.0.89
MONGO_NAME=/xapp/mongo
MONGO_PORT_27017_TCP_PORT=27017

82.
82
Accessing Mongo connection in your app
82
var mongoUrl = util.format('mongodb://mongo:%s/test', process.env.MONGO_PORT_27017_TCP_PORT);

83.
For more information
Docker Machine reference
https://docs.docker.com/machine/
Docker Machine basics
http://blog.codefresh.io/docker-machine-basics/
Machine presentation (Nathan LeClaire)
https://www.youtube.com/watch?v=xwj44dAvdYo&feature=youtu.be
Docker Machine Drivers
https://docs.docker.com/machine/drivers/
Linking Containers
https://docs.docker.com/userguide/dockerlinks/
Best practices for writing Dockerfiles
https://docs.docker.com/articles/dockerfile_best-practices/
Node, Docker, and Microservices
http://blog.codefresh.io/node-docker-and-microservices/
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@subfuzion
https://twitter.com/subfuzion
https://www.linkedin.com/in/tonypujals/