Real-Time Operations Dashboard Modernization
We rebuilt a high-traffic operations dashboard with time-series storage and live updates so teams could monitor peak load without stale data.
The system now handles the client's peak daily event volume without analytics outages.
This reflects first-year stability after the architecture migration.
Dashboard pages dropped from 6.2s to 0.8s, so operations can react in near real time.
Automation removed manual report recovery and reduced support overhead.
Project Details
Problem
The client's SQL-first dashboard worked at lower traffic, slowed under growth, and became unreliable during peak windows. Operations teams were waiting on delayed reports when they needed live visibility.
Approach
We moved time-series workloads to TimescaleDB, routed dashboard reads to replicas, and replaced 30-second polling with WebSocket updates. The trade-off was more operational overhead around replica lag and connection handling, but this removed the core reporting bottlenecks.
Result
The dashboard now stays responsive under current load, with faster page response and fewer operations incidents.
What Could Be Better
In week two we saw reporting inconsistencies from replica lag during traffic spikes. We fixed it with lag thresholds and query routing rules.