Customize Dashboards with an Open‑Source CMDB: 5 Chart Types & Multi‑Model Stats
This article explains how to use an open‑source CMDB to build customizable dashboards, covering five chart types, multi‑model and multi‑dimensional statistics, CI‑related metrics, and data filtering, with step‑by‑step configuration examples and visual illustrations.
CMDB is a collection of operational resources; beyond easy resource lookup, aggregated statistics are a common need. Because operational scenarios vary, an open‑source CMDB that supports personalized customization is essential.
1. Diverse Chart Types
The open‑source CMDB supports five chart types: metrics, bar charts, line charts, pie charts, and tables. It also allows displaying icons, quick color selection, bar chart direction configuration, overlay types, and background color settings for metrics. Users can configure their own large‑screen dashboard displays.
Metrics chart example shows a preview of the effect.
Bar chart configuration example.
Line chart configuration example.
Pie chart configuration example.
Table configuration example.
2. Multi‑Model Multi‑Dimensional Statistics
Multiple models can be linked for joint statistics, such as counting total machines across physical, virtual, and cloud hosts. Hierarchical statistics are possible, e.g., first by IDC, then by environment within each IDC. Statistics can also be performed across models sharing common attributes.
3. CI‑Related Statistics
Users can select related models for statistics, such as Business Unit → Product → Application → Physical Machine, enabling display of statistics that connect business units with physical hosts.
4. Data Filtering
When counting metrics, users can filter instance data first, e.g., only count machines that are online by adding a filter condition "status = online". Data filtering works for all chart types and can be applied to shared fields when multiple models are selected.
Open‑Source Repository
GitHub address: https://github.com/veops/cmdb
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