Run a Python app
In this guide we create and deploy a simple Python-based HTTP web server. To run this example, follow these steps:
-
Install the
kraft
CLI tool and a container runtime engine, e.g. Docker. -
Clone the
examples
repository andcd
into theexamples/http-python3.12/
directory:
git clone https://github.com/kraftcloud/examplescd examples/http-python3.12/
Make sure to log into Unikraft Cloud by setting your token and a metro close to you.
We use fra0
(Frankfurt, 🇩🇪) in this guide:
# Set Unikraft Cloud access tokenexport UKC_TOKEN=token# Set metro to Frankfurt, DEexport UKC_METRO=fra0
When done, invoke the following command to deploy this application on Unikraft Cloud:
kraft cloud deploy -p 443:8080 -M 512 .
The output shows the instance URL and other details:
[●] Deployed successfully! │ ├────────── name: http-python312-ma2i9 ├────────── uuid: e7389eee-9808-4152-b2ec-1f3c0541fd05 ├───────── state: running ├─────────── url: https://young-night-5fpf0jj8.fra0.kraft.host ├───────── image: http-python312@sha256:278cb8b14f9faf9c2702dddd8bfb6124912d82c11b4a2c6590b6e32fc4049472 ├───── boot time: 15.09 ms ├──────── memory: 512 MiB ├─────── service: young-night-5fpf0jj8 ├── private fqdn: http-python312-ma2i9.internal ├──── private ip: 172.16.3.3 └────────── args: /usr/bin/python /src/server.py
In this case, the instance name is http-python312-ma2i9
and the URL is https://young-night-5fpf0jj8.fra0.kraft.host
.
They are different for each run.
Use curl
to query the Unikraft Cloud instance of the Python-based HTTP web server:
curl https://young-night-5fpf0jj8.fra0.kraft.host
Hello, World!
At any point in time, you can list information about the instance:
kraft cloud instance list
NAME FQDN STATE CREATED AT IMAGE MEMORY ARGS BOOT TIMEhttp-python312-ma2i9 young-night-5fpf0jj8.fra0.kraft.host running 1 minute ago http-python312@sha256:278cb8b14f9faf9c27... 512 MiB /usr/bin/python /src/server.py 15094us
When done, you can remove the instance:
kraft cloud instance remove http-python312-ma2i9
Customize your Application
To customize the application, update the files in the repository, listed below:
server.py
: the actual Python HTTP serverKraftfile
: the Unikraft Cloud specificationDockerfile
: the Docker-specified application filesystem
import argparsefrom http.server import HTTPServer, BaseHTTPRequestHandler
class MyServer(BaseHTTPRequestHandler): def do_GET(self): self.send_response(200) self.send_header("Content-type", "text/html") self.end_headers() self.wfile.write(bytes("Hello, World!\n", "utf-8"))
def main(args): server = HTTPServer((args.host, args.port), MyServer)
print("starting server at %s:%s" % (args.host, args.port))
try: server.serve_forever()
except KeyboardInterrupt: pass
print("server stopped")
def parse_args(): parser = argparse.ArgumentParser() parser.add_argument("--host", type=str, default="0.0.0.0") parser.add_argument("--port", type=int, default=8080) return parser.parse_args()
if __name__ == "__main__": main(parse_args())
spec: v0.6
runtime: python:3.12
rootfs: ./Dockerfile
cmd: ["/usr/bin/python3", "/src/server.py"]
FROM scratch
# Python HTTP serverCOPY ./server.py /src/server.py
Lines in the Kraftfile
have the following roles:
-
spec: v0.6
: The currentKraftfile
specification version is0.6
. -
runtime: python:3.12
: The Unikraft runtime kernel to use is Python 3.12. -
rootfs: ./Dockerfile
: Build the application root filesystem using theDockerfile
. -
cmd: ["/usr/bin/python3", "/src/server.py"]
: Use/usr/bin/python3 /src/server.py
as the starting command of the instance.
Lines in the Dockerfile
have the following roles:
-
FROM scratch
: Build the filesystem from thescratch
container image, to create a base image. -
COPY ./server.py /src/server.py
: Copy the server implementation file (server.py
) in the Docker filesystem (in/src/server.py
).
The following options are available for customizing the application:
-
If only updating the implementation in the
server.py
source file, no other change is required. -
If new files are added, these have to be copied in the application filesystem, using the
COPY
command in theDockerfile
. -
If a new Python source files is added, update the
cmd
line in theKraftfile
and replaceserver.py
to run that file when creating the instance. -
More extensive changes may require expanding the
Dockerfile
with additionalDockerfile
commands. This includes the use of Python frameworks and the use ofpip
, as shown in the next section.
Using pip
pip
is a package manager for Python.
It is used to install dependencies for Python applications.
pip
uses the requirements.txt
file to list required dependencies (with versions).
The http-python3.12-flask3.0
guide details the use of pip
to deploy an application using the Flask
framework on Unikraft Cloud.
Run the command below to deploy the application on Unikraft Cloud:
kraft cloud deploy -p 443:8080 -M 512 .
Differences from the http-python3.12
app are also the steps required to create an pip
-based app:
-
Add the
requirements.txt
file used bypip
. -
Add framework-specific source files. In our case, this means the
server.py
file. -
Update the
Dockerfile
to:-
COPY
the local files. -
RUN
thepip3 install
command to install dependencies. -
COPY
of the resulting and required files (/usr/local/lib/pyhon3.12
andserver.py
) in the application filesystem, using thescratch
container.
-
The files are listed below:
from flask import Flaskapp = Flask(__name__)
@app.route('/')def hello(): return "Hello, World!\n"
if __name__ == '__main__': app.run(host='0.0.0.0', port=8080)
flask>=3.0,<3.1
spec: v0.6
runtime: python:3.12
rootfs: ./Dockerfile
cmd: ["/usr/bin/python3", "/app/server.py"]
FROM python:3.12-bookworm AS base
WORKDIR /app
COPY requirements.txt /app
RUN pip3 install -r requirements.txt --no-cache-dir
FROM scratch
COPY --from=base /usr/local/lib/python3.12 /usr/local/lib/python3.12COPY ./server.py /app/server.py
The requirements.txt
file lists the flask
dependency.
The Kraftfile
is the same one used for http-python3.12
.
For Dockerfile
newly added lines have the following roles:
-
FROM python:3.12-bookworm AS base
: Use the base image of thepython:3.12-bookworm
container. This provides thepip3
binary and other Python-related components. Name the current imagebase
. -
WORKDIR /app
: Use/app
as working directory. All other commands in theDockerfile
run inside this directory. -
COPY requirements.txt /app
: Copy the package configuration file to the Docker filesystem. -
RUN pip3 install ...
: Installpip
components listed inrequirements.txt
. -
COPY --from=base ...
: Copy generated Python files in the newbase
image in thescratch
-based image.
Similar actions are required for other pip3
-based applications.
See also the http-python3.12-django5.0
example.
Learn More
Use the --help
option for detailed information on using Unikraft Cloud:
kraft cloud --help
Or visit the CLI Reference.