Comment by noahbp

I had a similar project for bringing up Tailscale on a very resource-limited router, the gl.inet SFT1200, which has only 128 megabytes of RAM, and a dual-core MIPS processor.

Despite my best efforts, the original tailscale-go was simply not going to work, since it used too much RAM, even when I followed some of the tips for stripping the unneeded parts of the binary. Thankfully there was an open-source port to Rust, which more effectively used memory: https://github.com/GeiserX/tailscale-rs

What was surprising to me is that every Kindle released since 2019 has, at minimum, 512 megabytes of RAM, and therefore plenty of memory for tailscale-go to use.