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Right now I'm deleting all the objects that have already been transferred from the old bucket, in order to reduce the load on the backend databases, so that maybe we can transfer the remaining object to the new bucket at OVH.

Once the bucket is "complete" I will run some major cleanup tasks such as removing orphans, foreign emojis etc

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More technical details:

So basically the issue at Scaleway is the metadata database, which goes out of sync for large datasets.

Some objects appears to be broken, and can't be accessed as of rn. Out of 1.8m we're missing about 250k.

I decided to move the instance to the new bucket even though the sync was not finished because it will take some time for the last objects to be transfer and the instance was down for too long. Also the backlog was taking too much memory

To handle the huge backlog of toots of the past weeks, I added power to the server. Now that everything's fine, I'll go back to the previous specs. This will take a few minutes tonight.

Other than that, everything should be working properly.

2/2

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State of the instance: easy version

We have a new provider for the image storage. Due to some technical issues on the old provider side, some images are missing.
You might see missing images such as avatars, headers, emojis, attachments...
This should hopefully be fixed in the next days.

1/2

I started this instance because I wanted to make a cool place for people to meet and communicate. Thank you for your support, 🇧🇷 :blobheart:

instagram.com/p/B7RF2H-gPHV/

Wow, it's 2x to 6x more efficient. The backlog size is finally going down!

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I've split the queues so that the default queue doesn't use all the threads

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Your timelines should start getting filled faster but it will take some time before we get back to real time

sidekiq is only processing 50 jobs at once, increasing it seems to exceed the pool of postgres connections

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I disabled full text search so that I could turn off Elasticsearch, because I'm very short on RAM.

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Background jobs are processing right now, faster and with less errors because the bucket is usable. From what I see the number of jobs is still going up. Let's wait and see.

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