Deploy Streamlit to Azure Container Apps with IAC and CICD - Containerizing the Application
In this post, I will use Docker to containerize my streamlit application, which is a requirement in order to deploy my streamlit application to Azure Container Apps.
This post is part 3 of a series of posts where I will write about my solution for getting a streamlit application deployed to Azure Container Apps with IAC and CICD.
The code repository for this tutorial is available on my GitHub repo streamlit-azure-container-app.
Containerizing a Streamlit Application with Docker
Azure Container Apps requires a container image in order to run your application.
So what we will do next is create a Docker container image out of the Python code that we have already written for the streamlit application.
Creating a Dockerfile to Build a Container Image
We will start by creating a Dockerfile.
The Dockerfile provides the instructions describing how to assemble the container image of your application which includes things such as:
- The base image it will start from
- Any files to copy over
- Commands to run
- Ports to expose
See the complete Dockerfile for the streamlit application below.
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FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt /app
RUN pip3 install -r requirements.txt
COPY . /app
EXPOSE 8501
HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
Keeping Unwanted Files out of the Docker Container Image
You want to make sure files from within your project that aren’t needed in the container image aren’t copied over.
This is mainly for two reasons:
- You don’t want to make the container image any bigger than what it needs to be
- You want to keep any sensitive files out of your container image to prevent security incidents
The COPY command in the Dockerfile above will ignore the files and file patterns that are specified in the .dockerignore file.
See the .dockerignore file I used for my streamlit application below.
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/.venv
README.md
/iac
/.github
/certs
Building and Running the Docker Container Image Locally
We are now ready to build the container image with Docker then run it locally as a Docker container.
You will need to have Docker running on your machine to complete this part of the tutorial.
In the root project directory containing the Dockerfile and the .dockerignore file use the following commands to build and run the Docker container image locally.
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docker build -t streamlit .
docker run -p 8501:8501 streamlit
The application should be accessible in the browser on localhost on port 8501.
Related Posts
This post is part 3 of a series of posts where I will write about my solution for getting a streamlit application deployed to Azure Container Apps with IAC and CICD.
See all of the posts included in this series below.
- Deploy Streamlit to Azure Container Apps with IAC and CICD - Overview
- Deploy Streamlit to Azure Container Apps with IAC and CICD - Creating a Streamlit Application
- Deploy Streamlit to Azure Container Apps with IAC and CICD - Containerizing the Application
- Deploy Streamlit to Azure Container Apps with IAC and CICD - Provision a Public Container Repository with Amazon ECR