6.8 KiB
Our sample application
-
Visit the GitHub repository with all the materials of this workshop:
https://github.com/jpetazzo/container.training -
The application is in the dockercoins subdirectory
-
Let's look at the general layout of the source code:
there is a Compose file docker-compose.yml ...
... and 4 other services, each in its own directory:
rng= web service generating random byteshasher= web service computing hash of POSTed dataworker= background process usingrngandhasherwebui= web interface to watch progress
class: extra-details
Compose file format version
Particularly relevant if you have used Compose before...
-
Compose 1.6 introduced support for a new Compose file format (aka "v2")
-
Services are no longer at the top level, but under a
servicessection -
There has to be a
versionkey at the top level, with value"2"(as a string, not an integer) -
Containers are placed on a dedicated network, making links unnecessary
-
There are other minor differences, but upgrade is easy and straightforward
Service discovery in container-land
-
We do not hard-code IP addresses in the code
-
We do not hard-code FQDN in the code, either
-
We just connect to a service name, and container-magic does the rest
(And by container-magic, we mean "a crafty, dynamic, embedded DNS server")
Example in worker/worker.py
redis = Redis("`redis`")
def get_random_bytes():
r = requests.get("http://`rng`/32")
return r.content
def hash_bytes(data):
r = requests.post("http://`hasher`/",
data=data,
headers={"Content-Type": "application/octet-stream"})
(Full source code available here)
class: extra-details
Links, naming, and service discovery
-
Containers can have network aliases (resolvable through DNS)
-
Compose file version 2+ makes each container reachable through its service name
-
Compose file version 1 did require "links" sections
-
Network aliases are automatically namespaced
-
you can have multiple apps declaring and using a service named
database -
containers in the blue app will resolve
databaseto the IP of the blue database -
containers in the green app will resolve
databaseto the IP of the green database
-
What's this application?
--
- It is a DockerCoin miner! .emoji[💰🐳📦🚢]
--
- No, you can't buy coffee with DockerCoins
--
-
How DockerCoins works:
-
workerasks torngto generate a few random bytes -
workerfeeds these bytes intohasher -
and repeat forever!
-
every second,
workerupdatesredisto indicate how many loops were done -
webuiqueriesredis, and computes and exposes "hashing speed" in your browser
-
Getting the application source code
-
We will clone the GitHub repository
-
The repository also contains scripts and tools that we will use through the workshop
.exercise[
- Clone the repository on
node1:git clone git://github.com/jpetazzo/container.training
]
(You can also fork the repository on GitHub and clone your fork if you prefer that.)
Running the application
Without further ado, let's start our application.
.exercise[
-
Go to the
dockercoinsdirectory, in the cloned repo:cd ~/container.training/dockercoins -
Use Compose to build and run all containers:
docker-compose up
]
Compose tells Docker to build all container images (pulling the corresponding base images), then starts all containers, and displays aggregated logs.
Our application at work
-
On the left-hand side, the "rainbow strip" shows the container names
-
On the right-hand side, we see the output of our containers
-
We can see the
workerservice making requests torngandhasher -
For
rngandhasher, we see HTTP access logs
Connecting to the web UI
-
"Logs are exciting and fun!" (No-one, ever)
-
The
webuicontainer exposes a web dashboard; let's view it
.exercise[
-
With a web browser, connect to
node1on port 8000 -
Remember: the
nodeXaliases are valid only on the nodes themselves -
In your browser, you need to enter the IP address of your node
]
A drawing area should show up, and after a few seconds, a blue graph will appear.
class: self-paced, extra-details
If the graph doesn't load
If you just see a Page not found error, it might be because your
Docker Engine is running on a different machine. This can be the case if:
-
you are using the Docker Toolbox
-
you are using a VM (local or remote) created with Docker Machine
-
you are controlling a remote Docker Engine
When you run DockerCoins in development mode, the web UI static files are mapped to the container using a volume. Alas, volumes can only work on a local environment, or when using Docker4Mac or Docker4Windows.
How to fix this?
Stop the app with ^C, edit dockercoins.yml, comment out the volumes section, and try again.
class: extra-details
Why does the speed seem irregular?
-
It looks like the speed is approximately 4 hashes/second
-
Or more precisely: 4 hashes/second, with regular dips down to zero
-
Why?
--
class: extra-details
-
The app actually has a constant, steady speed: 3.33 hashes/second
(which corresponds to 1 hash every 0.3 seconds, for reasons) -
Yes, and?
class: extra-details
The reason why this graph is not awesome
-
The worker doesn't update the counter after every loop, but up to once per second
-
The speed is computed by the browser, checking the counter about once per second
-
Between two consecutive updates, the counter will increase either by 4, or by 0
-
The perceived speed will therefore be 4 - 4 - 4 - 0 - 4 - 4 - 0 etc.
-
What can we conclude from this?
--
class: extra-details
- "I'm clearly incapable of writing good frontend code!" 😀 — Jérôme
Stopping the application
-
If we interrupt Compose (with
^C), it will politely ask the Docker Engine to stop the app -
The Docker Engine will send a
TERMsignal to the containers -
If the containers do not exit in a timely manner, the Engine sends a
KILLsignal
.exercise[
- Stop the application by hitting
^C
]
--
Some containers exit immediately, others take longer.
The containers that do not handle SIGTERM end up being killed after a 10s timeout.