I'm running a website in a Docker container with an Nginx web server and everything seems to work well until I try to upload data through a text box instead of a file. When I send a ~100K text box upload using a POST request, the entire container becomes unresponsive. However, uploading a file of the same size works perfectly. I have a non-Docker version using Apache where the text box uploads function without any issues. What should I check, aside from logs, to resolve this problem?
4 Answers
Thanks for all your suggestions! After further testing, I discovered that using only a third of the data in the text box still leads to a crash. Since the site can still serve static pages but struggles with Perl CGI scripts, I'm thinking the issue lies with `fcgiwrap.` Restarting `fcgiwrap` seems to temporarily fix everything, but I’m stuck figuring out why it crashes when submitting through the text box. Any insights you might have on this specific part would really help!
Have you tried breaking up the data into smaller chunks? It could help identify if the size of the POST request is the issue. Don't forget to look at the backend script that processes the request too; there might be something there that's causing the hang-up. Also, running Nginx in a more verbose mode could reveal additional clues.
The issue might not be about crashing but rather about how Nginx is configured. Check the `client_body_temp_path` in your Nginx config. Make sure it's set to a bind mount with enough disk space to handle large uploads. Adjust the `client_max_body_size` and `client_body_buffer_size` settings to fit your needs. That might just do the trick, but it's worth checking the exact configuration as I've been working more with devops tools lately.
First off, it's important to clarify what you mean by the container 'crashing.' Typically, it's not the container itself but the processes within it that may be failing. Check the system logs for more details. Containers may have restrictions that affect how they handle data uploads, especially with larger requests. So keep an eye on resource limits as well. Let's get into it!

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