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OTOBO System Status – Monitoring & Performance

OTOBO System Status – Monitoring & Performance

Section titled “OTOBO System Status – Monitoring & Performance”

Stable and high-performance operation of your OTOBO / Znuny system is essential to ensure fast support and smooth processes. The support data collector regularly provides a structured status report of your installation to Rother OSS, allowing you to identify critical metrics and potential vulnerabilities at an early stage.


2. Support Data Collector – How it works

Section titled “2. Support Data Collector – How it works”

The support data collector automatically gathers:

  • System information (OS, kernel, Perl version)
  • Database insights (version, character set, indexes)
  • Cluster and node status (Elasticsearch health)
  • Memory and disk usage
  • Mail queue and domain configuration
  • OTP session data and active users

This data is sent (anonymized) to Rother OSS and visualized in an LED traffic light system:

SectionStatus LEDMeaning
Database🟢 GreenEverything within limits
Document search / Cluster🟡 YellowObservation recommended
System load & Memory🔴 RedImmediate action required

  • Operating system incl. kernel version
  • Perl interpreter (check compatibility)
  • System load (1 / 5 / 15 min load averages)
  • DB version (MySQL, MariaDB, PostgreSQL)
  • Character set: utf8 / utf8mb4 (client, DB server, tables)
  • Index size & fragmentation
  • Orphaned entries in ticket_index & ticket_lock_index
  • Cluster health (Green/Yellow/Red)
  • Shard distribution & replica status
  • Index storage size
  • Pending mails in the send queue
  • SMTP domain & reverse DNS
  • Active sessions (maximum vs. current)
  • Daemon status
  • Cache backend & TTL settings
  • PHP/Perl modules (versions & availability)

A central log view in the Admin interface allows:

  • Filtering by date, log level, module
  • Direct search for error messages, warnings, system events

Tip: Define the log level in SysConfig according to your deployment (e.g., “WARNING” for production operation).

Activate performance logging to:

  • Collect min/max/avg response times of individual actions
  • Identify bottlenecks in your widgets, modules, or database queries
  • Feed dashboards with real-time metrics

Note: A short interval (e.g., 1 second) provides more granular data but may cause higher load.


  • Traffic light dashboard in the Admin interface shows the overall status at a glance.
  • Email notifications for critical status changes (e.g., database red).
  • Webhooks / SNMP traps via GenericAgent for external monitoring solutions (e.g., Z-Mon, Nagios).

The OTOBO / Znuny support data collector and the integrated monitoring tools provide you with:

  1. Transparency regarding the system state
  2. Early warning system for performance or stability issues
  3. Data-driven decisions for capacity planning and optimization

Rely on regular evaluation and alerting to keep your helpdesk platform performing, secure, and fail-safe at all times!