Donncha Ó CaoimhJust testing the load on my server. May delete later.
Also, enjoy the video of Gaybo on the Late Late Show in the early 80s.
https://odd.blog/2022/12/21/computers-are-the-big-thing-this-year/
261 embed requests since this was posted a few minutes ago.
359 requests for the post itself.
1 minute load average topped out at 1.34 for 5 seconds before going back to 0.34.
I had garbage collection TTL set to 60 seconds and I think it expired in the middle of that rush of requests for the page.
I had tail -f on my log in a screen session, which adds a bit to the load too.
My blog was still very responsive the whole time.
Now to test it again with a longer TTL. Not sure if Mastodon instances cache the preview.
https://odd.blog/2022/12/21/computers-are-the-big-thing-this-year/
Gidi Kroon@donncha What was the spread in time of the requests? I heard that Mastodon tried to spread the load by having a random delay before fetching, and your test seems ideal to know whether I heard correctly... Non-Mastodon servers may have been the initial peak of 5s.
(I know that Friendica caches the preview, because when I edited a blog post after testing the link it kept showing the old version also in new posts)
(I know that Friendica caches the preview, because when I edited a blog post after testing the link it kept showing the old version also in new posts)
@gidi Maybe there is a delay, but when there are so many servers it probably doesn't matter. I saw servers hit the post within a second or two of me posting it. mastodon.ie first of course, then others.
@donncha Sounds like the retrieval happens at least soon after the post has been delivered, with delivery delays giving some natural spread. The caching setups on people's blogs are going to have to do their job once we get posters with millions of followers...
@gidi Yeah, people like that will want sites running on WordPress.com or similar, even if they don't get the human eyeballs on it afterwards.
Then again, there is probably only one request per Mastodon instance, so as long as there are few instances it might be manageable.
A quick check shows 390 unique user agents hitting the "i-have-to-try-this" URL. Not bad for 1.8K followers.