Merge pull request 'Documentation changes for v0.8' (#394) from doc-0.8 into main

Reviewed-on: https://git.deuxfleurs.fr/Deuxfleurs/garage/pulls/394

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+title = "Migrating from 0.7 to 0.8"
+weight = 13
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+
+**This guide explains how to migrate to 0.8 if you have an existing 0.7 cluster.
+We don't recommend trying to migrate to 0.8 directly from 0.6 or older.**
+
+**We make no guarantee that this migration will work perfectly:
+back up all your data before attempting it!**
+
+Garage v0.8 introduces new data tables that allow the counting of objects in buckets in order to implement bucket quotas.
+A manual migration step is required to first count objects in Garage buckets and populate these tables with accurate data.
+
+The migration steps are as follows:
+
+1. Disable API and web access. Garage v0.7 does not support disabling
+   these endpoints but you can change the port number or stop your reverse proxy for instance.
+2. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
+   check the logs and check that all data seems to be synced correctly between
+   nodes. If you have time, do additional checks (`scrub`, `block_refs`, etc.)
+3. Check that queues are empty: run `garage stats` to query them or inspect metrics in the Grafana dashboard.
+4. Turn off Garage v0.7
+5. **Backup the metadata folder of all your nodes!** For instance, use the following command
+	if your metadata directory is `/var/lib/garage/meta`: `cd /var/lib/garage ; tar -acf meta-v0.7.tar.zst meta/`
+6. Install Garage v0.8
+7. **Before starting Garage v0.8**, run the offline migration step: `garage offline-repair --yes object_counters`.
+   This can take a while to run, depending on the number of objects stored in your cluster.
+8. Turn on Garage v0.8
+9. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`.
+   Wait for a full table sync to run.
+10. Your upgraded cluster should be in a working state. Re-enable API and Web
+    access and check that everything went well.
+11. Monitor your cluster in the next hours to see if it works well under your production load, report any issue.