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Show HN: Terraform recipe for running Jitsi Meet on DigitalOcean (github.com/41north)
23 points by aborrero on April 9, 2020 | hide | past | favorite | 8 comments


What's the difference between this and the [1] Digital Ocean Marketplace Jitsi server? I think you can make one-click installs pretty easily with marketplace apps...

[1] https://marketplace.digitalocean.com/apps/jitsi-server


hey nice work. I did the same thing but for Brightbox: https://github.com/brightbox/deploy-jitsi

realised I've not licensed it properly though! will sort that out tomorrow.

blogged about it here: https://www.brightbox.com/blog/2020/03/30/how-to-install-jit...

took me a while to sort out the fqdn config change, did you get that working?


Hi!

Thanks for sharing!

Yup it does!

The original script comes from https://github.com/AvasDream/terraform_aws_jitsi_meet with minor tweaks (it's acknowledged in the README, he's the hero).


Thank you for this generous offering! Do you have any tips around expected costs or power/performance requirement?


Hi! Right now I'm using it with s-2vcpu-4gb droplet and yesterday I had a meeting with 10 people without any problem. The CPU were at 26% on average, the inbound traffic at 13 Mbps and the outbound 40. Disk usage were negligible. Today I'm going to try with even smaller droplets to see how far I can push it :)

Keep in mind that the selected droplet costs around $0.030 per hour so that's $20 per month. The good part is you can tear this setup down very easily, so you can save money whenever you're not using it.


I wonder how powerful of a droplet you need to run a jitsi server with a few dozen people in video chat.


As I replied on the comment above, yesterday with the selected droplet (s-2vcpu-4gb) we were able to have a meeting with 10 people without any issues.

The minimum official requirements on the page are the following (https://jitsi.org/news/new-tutorial-installing-jitsi-meet-on...) are:

- 1Gb of RAM - 2Ghz of CPU - 25GB of disk

An amount that s-2vcpu-4gb surpass easily. Today I would like to test it with even more people. Whenever I have more stats I'll put an update on the repository's README.

Thanks for dropping a comment :)


It's been a few years but I remember our one needed at least 8gb ram




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