05 · 2025 · Founder-built
System Monitoring & Log Dashboard
A monitoring interface built on a simple premise: a dashboard should tell you whether to worry, before it tells you anything else.
Problem
Log volume grows faster than anyone's ability to read it. The engineering challenge is filtering and aggregation that stays responsive as data accumulates.
Objectives
- Surface system health in a single glance
- Make log search fast at volume
- Support threshold-based alerting
- Allow export for deeper offline analysis
Approach
Aggregates are precomputed for the common time windows; raw log search is a separate, deliberately explicit mode rather than the default view.
UX / UI
Status communicated with shape and label as well as colour, so severity is never conveyed by hue alone.
Features
- System health overview
- Time-series metric charts
- Log search with structured filters
- Threshold-based alerting
- Activity and event timeline
- Data export
Interface preview
Gallery
Health overview
Whether to worry, first
Metric trends
Time-series comparison
Log explorer
Structured filtering
Engineering
Time-bucketed aggregation tables keep the overview instant regardless of retention, while raw queries are bounded by explicit time ranges.
Architecture
- Time-bucketed aggregation tables
- Indexed structured log storage
- Threshold evaluation on ingestion
- Bounded query windows for raw search
Technology
- TypeScript
- React
- Node.js
- PostgreSQL
- Charting
Challenges
Fast at volume
Querying raw logs for an overview does not scale. Precomputed buckets do.
Alert fatigue
An alert that fires constantly is noise. Thresholds needed hysteresis to be useful.
Outcome
A working monitoring dashboard demonstrating data-intensive interface engineering. Founder-built; not a client deployment.
Related foundation
Express Dashboard
This project informs the Express Dashboard foundation.
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