An easy-to-use backup tool designed for servers.
bacup
An easy-to-use backup tool designed for servers - written in Rust.
The bacup service runs as a deamon and executes the backup of the services on the remotes.
The goal of bacup is to make the configuration straightforward: a single file where defining everything in a very simple way.
Configuration
3 steps configuration.
- Configure the remotes. A remote is a cloud provider, or a SSH host, or a git server.
- Configure the services. A service is a well-known software (e.g. PostgreSQL) with his own backup tool, or is a location on the filesystem.
- Map services (what to backup) to remotes (where to backup). Configure the backup.
"daily $hh:$mme.g.daily 15:30weekly $day $hh:$mme.g.weekly mon 12:23orweekly monday 12:23.weeklycan be omitted.monthly $day $hh:$mme.g.monthly 1 00:30- cron. If you really have to use it, use crontab guru to create the cron string.
# remotes definitions
[aws]
[aws.bucket_name]
region = ""# "eu-west-3"
access_key = ""
secret_key = ""
Not available yet!
#[gcloud]
[gcloud.bucket1]
serviceaccountpath = ""
[ssh] [ssh.remote_host1] host = "" # example.com port = "" # 22 username = "" # myname privatekey = "" # ~/.ssh/idrsa
[localhost] # Like copy-paste in local. The underlying infrastructure manages # the remote (if any) part. Below 2 examples [localhost.samba] path = "" # local path where samba is mounted
[localhost.disk2] path = "" # local path where the second disk of the machine is mounted
[git] [git.remote_repo] host = "" #github.com port = "" #22 username = "" #git privatekey = "" # ~/.ssh/idrsa repository = "" # "galeone/bacup" branch = "" # master
what to backup. Service definition
[postgres]
[postgres.service1]
username = ""
db_name = ""
host = ""
port = ""
[folders] [folders.service1] pattern = ""
[docker] [docker.service] containername = "dockerpostgres_1" command = "pg_dumpall -c -U postgres" # dump to stdout always
mapping services to remote
[backup]
# Compress the DB dump and upload it to aws
# everyday at 01:00 UTC
[backup.service1dbcompress]
what = "postgres.service1"
where = "aws.bucket_name"
when = "daily 01:00"
remote_path = "/service1/database/"
compress = true
keep_last = 7
# Dump the DB and upload it to aws (no compression) # every first day of the month [backup.service1_db] what = "postgres.service1" where = "aws.bucket_name" when = "monthly 1 00:00" remote_path = "/service1/database/" compress = false
# Archive the files of service 1 and upload them to # the ssh.remote_host1 in the remote ~/backups/service1 folder. # Every friday at 5:00 [backup.service1sourcecompress] what = "folders.service1" where = "ssh.remote_host1" when = "weekly friday 05:00" remote_path = "~/backups/service1" compress = true
# Incrementally sync folders.service1 with the remote host # using rsync (authenticated trough ssh) # At 00:05 in August [backup.service1_source] what = "folders.service1" where = "ssh.remote_host1" when = "5 0 8 " remotepath = "~/backups/service1incremental/" compress = false # no compression = incremental sync
# Compress the DB dump and copy it to the localhost "remote" # where, for example, samba is mounted # everyday at 01:00 UTC [backup.service1dbon_samba] what = "postgres.service1" where = "localhost.samba" when = "daily 01:00" remote_path = "/path/inside/the/samba/location" compress = false
[backup.service1sourcegit] what = "folders.service1" where = "git.github" when = "daily 15:30" remote_path = "/" # the root of the repo compress = false
When compression = true, the file/folder are compressed using Gzip and the file is archived (in the desired remote location) with the format:
YYYY-MM-DD-hh:mm-filename.gz # or .tar.gz if filename is an archive
Installation & service setup
cargo install bacup
Then put the config.toml file in $HOME/.bacup/config.toml.
There's a ready to use systemd service file:
sudo cp misc/systemd/bacup@.service /usr/lib/systemd/system/
then, the service can be enabled/started in the usual systemd way:
sudo systemctl start bacup@$USER.service
sudo systemctl enable bacup@$USER.service
Remote configuration
Configuring the remotes is straightforward. Every remote have a different way of getting the access code, here we try to share some useful reference.
AWS
- Access Key & Secret Key: Understanding and getting your AWS credentials: programmatic access
- Region: the region is the region of your bucket.
- Endpoint: (optional) the endpoint to use for the client, i.e. another s3 compatible service.
- forcepathstyle: (optional) Forces this client to use path-style addressing for buckets, necessary for some s3 compatible gateways.
SSH
You need a valid ssh account on your remote - only authentication via SSH key without passphrase is supported.
For incremental backup rsync is used - you need this tool installed locally and remotely.
Git
You need a valid account on a Git server, together with a repository. Only SSH is supported.
Localhost
Not properly a remote, but you can use bacup to bacup from a path to another (with/without compression). If the localhost remote is mounted on a network filesystem it's better :)