Troubleshooting

Trouble shooting is a process of finding and fixing the problem in a system. In this case, we are going to troubleshoot a Docker container.

  1. Check the logs of the container.
  2. Identify the line in the Dockerfile that is causing the problem.
  3. Comment out the subsequent lines in the Dockerfile.
  4. Rebuild the image.
  5. Run the container (possibly with a shell).
  6. Debug the issue.

2. Identify the line in the Dockerfile that is causing the problem.

Let’s assume your Dockerfile looks like this, and the issue is at RUN some_command.

FROM python:3.9
 
WORKDIR /app
 
COPY requirements.txt .
 
RUN pip install -r requirements.txt
 
COPY . .
 
RUN some_command   # This is the problematic line
 
CMD ["python", "app.py"]
 

3. Comment out the subsequent lines in the Dockerfile.

You should comment out the lines after the problematic line:

FROM python:3.9
 
WORKDIR /app
 
COPY requirements.txt .
 
RUN pip install -r requirements.txt
 
COPY . .
 
# RUN some_command   # Commenting out the problematic line
 
# CMD ["python", "app.py"]  # Commenting out subsequent lines

4. Rebuild the image.

Rebuild the image using the following command:

docker build -t my_debug_image .

5. Run the container (possibly with a shell).

Run the container with a shell to debug the issue:

docker run -it --entrypoint sh my_debug_image

6. Debug the issue.

Now you can debug the issue by running the problematic command manually:

cd /app
ls -la

Addition tips

  • Use the docker logs command to view the logs of a container.
  • Use the docker exec command to run a command in a running container.
  • Use the docker inspect command to get detailed information about a container.
  1. Use layers to your advantage. Docker caches layers, so try to build your image step by step to take advantage of caching.
  2. Use the --no-cache option to rebuild the image without using the cache.
  3. Use the --rm option to remove the container after it exits.
  4. If the Dockerfile is too complex, try to simplify it by breaking it down into smaller Dockerfiles.