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.

1. Configure the remotes. A remote is a cloud provider, or a SSH host, or a git server.
2. 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.
3. Map services (what to backup) to remotes (where to backup). Configure the backup.

When configuring the backups, the field when accepts configuration strings in the format:

• "daily $hh:$mm e.g. daily 15:30
• weekly $day $hh:$mm e.g. weekly mon 12:23 or weekly monday 12:23. weekly can be omitted.
• monthly $day $hh:$mm e.g. monthly 1 00:30
• cron. If you really have to use it, use crontab guru to create the cron string.

NOTE: The time is ALWAYS in UTC timezone.

# remotes definitions
[aws]
    [aws.bucket_name]
    region = ""# "eu-west-3"
    access_key = ""
    secret_key = ""

# Not available yet!
#[gcloud]
#    [gcloud.bucket1]
#    service_account_path = ""

[ssh]
    [ssh.remote_host1]
    host = "" # example.com
    port = "" # 22
    username = "" # myname
    private_key = "" # ~/.ssh/id_rsa

[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
    private_key = "" # ~/.ssh/id_rsa
    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]
    container_name = "docker_postgres_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.service1_db_compress]
    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.service1_source_compress]
    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 *"
    remote_path = "~/backups/service1_incremental/"
    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.service1_db_on_samba]
    what = "postgres.service1"
    where = "localhost.samba"
    when = "daily 01:00"
    remote_path = "/path/inside/the/samba/location"
    compress = false

    [backup.service1_source_git]
    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.
• force_path_style: (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 :)