1 | initial version |
To implement an nginx cache proxy in a Docker container with OpenAI, you can follow the steps below:
FROM nginx
RUN rm /etc/nginx/conf.d/*
COPY nginx.conf /etc/nginx/
nginx.conf
file with the following content:http {
proxy_cache_path /var/cache/nginx levels=1:2 keys_zone=cache:10m inactive=60m;
proxy_cache_key "$scheme$request_method$host$request_uri$is_args$args";
server {
listen 80;
location / {
proxy_pass http://upstream;
proxy_cache cache;
proxy_cache_valid 200 5m;
proxy_cache_valid 404 1m;
}
}
}
docker build -t mynginx .
docker run
command, and specify the upstream server:docker run -d --name mynginx -p 80:80 -e UPSTREAM_SERVER=your_upstream_server -v /var/cache/nginx:/var/cache/nginx mynginx
In the command above, the -e
flag is used to pass an environment variable to the Docker container, and the -v
flag is used to mount a volume to save the cached data.
Note: Make sure your upstream server is configured to return appropriate cache control headers to enable caching as per your requirements.