Real-Time Dashboards — Complete Guide
Real-Time Dashboards — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of MEAN Stack Tutorial on Toolliyo Academy.
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MEAN Stack Tutorial · Lesson 64 of 100
Real-Time Dashboards
Stack ✓ → Projects
Projects · 2 — Apps · ~10 min · MEAN — Real-Time & Advanced Systems
What is this?
Real-time dashboards stream metrics and alerts to Angular charts without manual refresh — MeanVerse ops and analytics screens.
Why should you care?
Batch REST polling every 5s loads DB; push updates scale better for NOC views.
See it live — copy this example
Paste into your MeanVerse project (Angular + Express + MongoDB), then run with ng serve / node / mongosh as noted.
@Component({
standalone: true,
template: `
<canvas baseChart [data]="chartData()" [options]="{ responsive: true }"></canvas>
<p>Active users: {{ activeUsers() }}</p>`
})
export class OpsDashboardComponent implements OnInit {
activeUsers = signal(0);
chartData = signal({ labels: [] as string[], datasets: [{ data: [] as number[], label: 'TPS' }] });
ngOnInit() {
this.socket.fromEvent<{ tps: number; ts: string }>('metrics:tps')
.pipe(scan((acc, m) => ({ labels: [...acc.labels, m.ts].slice(-20), values: [...acc.values, m.tps].slice(-20) }),
{ labels: [] as string[], values: [] as number[] }))
.subscribe(({ labels, values }) => {
this.chartData.set({ labels, datasets: [{ data: values, label: 'TPS' }] });
});
}
}
What happened?
- socket.fromEvent listens for server pushes.
- scan accumulates last 20 points for sparkline.
- signal updates chart binding reactively.
Practice next
- Server aggregates metrics every second emits metrics:tps.
- Angular subscribes on dashboard route enter.
- Unsubscribe or use takeUntilDestroyed on navigate away.
- Add reconnect banner when socket offline.
- Merge server metrics with client-side filter signal.
Remember
Push metrics via WebSocket/Socket.IO. Angular signals or RxJS update charts live. Limit buffer window for performance.
Payment gateway NOC
MeanVerse SRE watches TPS and error rate during launch.
Outcome: Spike visible in 1s; autoscale triggers before users notice.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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