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Operations Center Dashboards
Mission-critical real-time dashboards with Chart.ts. WebGL rendering for 100k+ data points at 60fps, live streaming from WebSocket, SSE, and HTTP polling sources, gauge charts for KPIs and SLAs, and geographic displays for global operations.
Chart Types You Need
Scatter Plot
WebGL scatter for 100k+ data points at 60fps
Gauge Chart
KPI and SLA monitoring with threshold zones
Geo Map
Global operations view with live status markers
Heatmap
Incident patterns and load distribution by time
Line Chart
Multi-source streaming metrics with rolling buffer
Combo Chart
Linked multi-panel dashboards with shared controls
Example Implementation
dashboard.tsx
import { ScatterChart, GaugeChart, GeoChart, LineChart } from "@chartts/react"
import { useStreaming } from "@chartts/websocket"
export function OperationsCenter({ config }) {
const { data, status, reconnecting } = useStreaming(config.sources, {
bufferSize: 10000,
reconnect: true,
reconnectInterval: 1000,
})
return (
<div className="grid grid-cols-12 gap-4">
<div className="col-span-3 grid gap-4">
<div className="rounded-xl card p-4">
<GaugeChart value={data.uptime} max={100} label="Uptime SLA"
className="h-28"
zones={[
{ max: 99, className: "fill-red-500" },
{ max: 99.9, className: "fill-amber-500" },
{ max: 100, className: "fill-emerald-500" },
]}
/>
</div>
<div className="rounded-xl card p-4">
<GaugeChart value={data.errorRate} max={5} label="Error Rate %" className="h-28" />
</div>
<div className="rounded-xl card p-4">
<GaugeChart value={data.throughput} max={10000} label="req/s" className="h-28" />
</div>
</div>
<div className="col-span-9 rounded-xl card p-6">
<GeoChart
data={data.regions}
type="markers"
className="h-96"
markerClassName={r => r.healthy
? "fill-emerald-500"
: "fill-red-500 animate-pulse"}
/>
</div>
<div className="col-span-12 rounded-xl card p-6">
<ScatterChart
data={data.metrics}
x="timestamp"
y="latency"
colorBy="service"
renderer="webgl"
className="h-48"
/>
</div>
</div>
)
}Why Chart.ts for Operations Center
WebGL rendering for 100k+ data points at 60fps
Real-time streaming from WebSocket, SSE, and HTTP polling
Auto-reconnect with configurable retry intervals
Gauge charts for KPI and SLA monitoring with threshold zones
Geographic maps for global operations visibility
Heatmaps for incident pattern recognition
Linked multi-panel dashboards with synchronized views
Dark mode optimized for 24/7 operations environments
Start building your operations center
Install Chart.ts and have your first chart rendering in 2 minutes.
$
npm install @chartts/react