Monitoring Dashboard Builder
What’s Inside
Plug-and-play connectors
Hook up CloudWatch, Datadog, Prometheus, SQL warehouses, CRMs, or custom APIs in minutes.Plain-language queries
Describe the metric (“average checkout latency, last 24h”) and we build the chart + alert rule automatically.Flexible layouts
Mix KPI cards, timeseries, heat maps, and incident feeds on an adaptive grid.Alerting + escalation
Set conditions, quiet hours, and multi-channel delivery (Slack, email, PagerDuty, webhooks).Drill-down links
Click any spike to jump into log explorers, traces, or ticketing systems.Team permissions
Control who can edit, acknowledge alerts, or view sensitive metrics with granular roles.Monitoring Best Practices
1. Define SLOs first
Pick the metrics tied to user happiness (latency, availability, error rate) and build from there.
2. Group by persona
Executives need health summaries, engineers need diagnostic detail—don’t mix them on one board.
3. Add context
Overlay deployments, feature flags, or marketing campaigns so spikes make sense.
4. Tune alerts
Use multi-condition rules and cooldowns to avoid alert fatigue.
5. Review weekly
Hold a 15-minute “dashboard hygiene” session to archive unused widgets and ensure data freshness.
6. Test failure paths
Simulate an incident to confirm alerts fire, escalations work, and on-call knows where to look.
Who Uses It
SRE + DevOps
Keep an eye on uptime, infrastructure health, and deployments.
Product teams
Monitor feature adoption and funnel metrics alongside technical signals.
Support leads
Track ticket volume, SLA breaches, and CSAT in real time.
Ops leaders
Get a live view of business-critical KPIs across departments.