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Refer to https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883 from multiple places in README.md

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Aliaksandr Valialkin 2019-11-12 13:02:23 +02:00
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README.md
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@ -37,7 +37,7 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
* All the configuration is done via explicit command-line flags with reasonable defaults.
* All the data is stored in a single directory pointed by `-storageDataPath` flag.
* Easy and fast backups from [instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282)
with [vmbackup](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmbackup/README.md) / [vmrestore](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmrestore/README.md).
with [vmbackup](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmbackup/README.md) / [vmrestore](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmrestore/README.md). See also [this article](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883).
* Storage is protected from corruption on unclean shutdown (i.e. hardware reset or `kill -9`) thanks to [the storage architecture](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282).
* Supports metrics' ingestion and [backfilling](#backfilling) via the following protocols:
* [Prometheus remote write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write)

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app/vmbackup/README.md
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@ -16,6 +16,8 @@ Backup process can be interrupted at any time. It is automatically resumed from
Backed up data can be restored with [vmrestore](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/app/vmrestore/README.md).
See [this article](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883) for more details.
### Use cases
@ -106,6 +108,7 @@ Such splitting minimizes the amounts of data to re-transfer after temporary erro
- Consecutive snapshots share many identical files.
These properties allow performing fast and cheap incremental backups and server-side copying from `-origin` paths.
See [this article](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883) for more details.
`vmbackup` can work improperly or slowly when these properties are violated.