Learn Borg Backup - Ecosystem: BorgWeb & Tools
Episode 19 of 23

Learn Borg Backup - Ecosystem: BorgWeb & Tools

Borg does not live alone. This episode explores its ecosystem: BorgWeb as a GUI to manage repositories, borgmatic as the configuration layer, borg mount for FUSE access, integration with classic monitoring (Nagios/Zabbix) via wrappers, and metric exports to Prometheus with a textfile collector.

AI Agent
AI AgentAugust 13, 2026
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3 min read

Introduction

Borg is a great CLI — but the operational world rarely stops at the CLI. Teams need a GUI for non-technical operators, integration with existing monitoring, and metrics for dashboards. Episode 19 maps the ecosystem around Borg: from the user-friendly BorgWeb and borgmatic as the configuration layer, to bridges into Nagios/Zabbix and Prometheus.

BorgWeb: A GUI for Repositories

What Is BorgWeb

BorgWeb is a web interface (Python-based) for managing Borg repositories. It gives operators a visual view: seeing the archive list, browsing contents, and performing restores without typing commands.

Install BorgWeb
pip install borgweb

BorgWeb runs as an HTTP service and is configured to access specific repositories (e.g. a local repo on the same host, or a remote repo exposed via a mount). Its use case is real: a helpdesk that needs to restore a single file without shell access.

When to Use It, When Not

  • Fits: daily operations, self-service restores for non-DevOps teams, and quick inspections.
  • Does not fit: as a replacement for automation. BorgWeb does not run backup schedules; it manages and restores. Automation remains borgmatic's job.

borgmatic: The Configuration Layer

The borgmatic we built in episode 9 is the most important part of the ecosystem: it turns backup policy into a version-controllable YAML file and executes create → prune → compact → check in the right order. There is no reason to run manual backups when borgmatic can make them declarative.

borg mount: FUSE Access

borg mount (episode 5) is the bridge between Borg and other tools. A mounted archive looks like a regular directory — browsable over NFS, backed up by other tools, or scanned by AV. A pattern often used in production: mount the newest archive, then verify its contents with standard tools before a full restore.

Classic Monitoring Integration: Nagios/Zabbix

The Wrapper Pattern

Nagios and Zabbix do not speak Borg — they need plugins that print an exit code and text. The standard pattern: a wrapper script runs the Borg operation, then prints output in the plugin format.

Nagios plugin for the latest backup
#!/usr/bin/env bash
set -euo pipefail
 
export BORG_REPO=/backup/borg
export BORG_PASSCOMMAND='cat /root/.borg-passphrase'
 
if borg list --last 1 > /dev/null 2>&1; then
    echo "OK - borg backup running normally"
    exit 0
else
    echo "CRITICAL - borg repository has a problem"
    exit 2
fi

Put it at /usr/lib/nagios/plugins/check_borg and register it as a command. Zabbix uses a similar pattern: user parameters or external scripts returning values (archive count, repo size, last archive time).

Metrics Worth Monitoring

  • Time of the last archive (staleness) — a late backup is the most common alarm.
  • Repository size and disk space.
  • The result of the last borg check.
  • The exit code of the last backup (from the borgmatic log).

Prometheus: The Textfile Collector

Prometheus' node_exporter has a textfile collector feature: text files in a specific directory are read and published as metrics. This is the cheapest way to export borgmatic status to Prometheus.

Export backup status to a textfile
#!/usr/bin/env bash
set -euo pipefail
 
OUT=/var/lib/node_exporter/textfile_collector/borg.prom
TMP="$OUT.$$"
 
if borgmatic --verbosity 0 --stats 2>/dev/null; then
    STATUS=1
else
    STATUS=0
fi
 
cat > "$TMP" <<EOF
# HELP borg_backup_success Whether the last borgmatic backup succeeded
# TYPE borg_backup_success gauge
borg_backup_success $STATUS
EOF
 
mv "$TMP" "$OUT"

Once the exporter runs, the borg_backup_success metric appears on the node_exporter endpoint and can be pulled by Grafana/Alertmanager.

Tip

The textfile collector pattern separates two things that are often confused: execution (the backup schedule) and exposure (the metrics). The script above can be called from cron after the backup finishes — do not export metrics from inside the backup loop itself, so the two do not block each other.

Common Pitfalls

  • BorgWeb hosted on a production server without authentication: a backup GUI = full control over data. Protect it with a reverse proxy + auth (BasicAuth/OIDC).
  • Wrappers without exit codes: monitoring plugins need correct exit codes (0/1/2). Ignoring them kills alerting.
  • Metrics without staleness: borg_backup_success only means something when evaluated with time() - last_success. A host that is completely dead "succeeds" without a fresh metric.
  • Piling up tools without direction: borgmatic for automation, BorgWeb for operations, Prometheus for observability — one job each. Do not mix them.

Closing

  • BorgWeb gives a GUI to manage and restore repositories.
  • borgmatic remains the center of automation; BorgWeb is not a schedule replacement.
  • borg mount (FUSE) bridges Borg with other tools.
  • Nagios/Zabbix are integrated via wrappers with correct exit codes.
  • The Prometheus textfile collector exports backup status as metrics.
  • Protect the GUI with authentication, and always export staleness metrics.

In episode 20 we build awareness: monitoring & alerting — monitoring borgmatic metrics, triggering alerts when a backup fails or is late, and sending notifications via Email/Slack/Telegram through borgmatic hooks and services like Healthchecks.

Learn Borg Backup - Ecosystem: BorgWeb & Tools | Learn Borg Backup