I’ve been selfhosting a number different web applications throughout the years. For most of them I would use Cloudflare Tunnels to expose them to the internet. I usually had one tunnel set up for my root domain and either a wildcard or multiple specific CNAME records pointing to the same tunnel. The tunnel would then terminate in a Docker container which shares a network with a Traefik instance, which then routes the traffic through a seperate network to the different application containers.
I was just wondering what your opinions on this are, considering this approach over a seperate tunnel for every application. This would eliminate the need for a shared network for Traefik, although I don’t consider this much of an issue.
Any opinion, input or recommendation is welcome! I’d love to hear about your setups, if you’re running something similar.
I use cloudflare tunnel for each of my apps. Because it’s just so easy to setup in like 10 secinds. But there’s no need to have a different domain for each app. Subdomains of one main domain is fine.
I do use one domain with several subdomains (or simply a wildcard), that’s what I meant by the CNAME record(s). But I see that wasn’t completely clear from the post.
The setup time is not really a factor, more just the overhead of one tunnel and one Traefik instance vs multiple tunnels without Traefik. I might just do some basic “benchmarking” if you can call it that to see the CPU and (more realistically) memory impact.
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I use cloudflare tunnel for each of my apps. Because it’s just so easy to setup in like 10 secinds. But there’s no need to have a different domain for each app. Subdomains of one main domain is fine.
I do use one domain with several subdomains (or simply a wildcard), that’s what I meant by the CNAME record(s). But I see that wasn’t completely clear from the post.
The setup time is not really a factor, more just the overhead of one tunnel and one Traefik instance vs multiple tunnels without Traefik. I might just do some basic “benchmarking” if you can call it that to see the CPU and (more realistically) memory impact.