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-rw-r--r--doc/book/cookbook/real-world.md16
1 files changed, 9 insertions, 7 deletions
diff --git a/doc/book/cookbook/real-world.md b/doc/book/cookbook/real-world.md
index 15a58b9b..9e226030 100644
--- a/doc/book/cookbook/real-world.md
+++ b/doc/book/cookbook/real-world.md
@@ -72,13 +72,14 @@ to store 2 TB of data in total.
to RAID, see [our dedicated documentation page](@/documentation/operations/multi-hdd.md).
- For the metadata storage, Garage does not do checksumming and integrity
- verification on its own. Users have reported that when using the LMDB
- database engine (the default), database files have a tendency of becoming
- corrupted after an unclean shutdown (e.g. a power outage), so you should use
- a robust filesystem such as BTRFS or ZFS for the metadata partition, and take
- regular snapshots so that you can restore to a recent known-good state in
- case of an incident. If you cannot do so, you might want to switch to Sqlite
- which is more robust.
+ verification on its own, so it is better to use a robust filesystem such as
+ BTRFS or ZFS. Users have reported that when using the LMDB database engine
+ (the default), database files have a tendency of becoming corrupted after an
+ unclean shutdown (e.g. a power outage), so you should take regular snapshots
+ to be able to recover from such a situation. This can be done using Garage's
+ built-in automatic snapshotting (since v0.9.4), or by using filesystem level
+ snapshots. If you cannot do so, you might want to switch to Sqlite which is
+ more robust.
- LMDB is the fastest and most tested database engine, but it has the following
weaknesses: 1/ data files are not architecture-independent, you cannot simply
@@ -124,6 +125,7 @@ A valid `/etc/garage.toml` for our cluster would look as follows:
metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"
db_engine = "lmdb"
+metadata_auto_snapshot_interval = "6h"
replication_mode = "3"