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Use Cases/Build a Server-Sent Events Real-Time Dashboard

Build a Server-Sent Events Real-Time Dashboard

Build a real-time monitoring dashboard using Server-Sent Events (SSE) for one-way streaming — lighter than WebSockets, with automatic reconnection and native browser support.

#redis#caching#database#pub-sub#queues
Works with:claude-codeopenai-codexgemini-clicursor

Skills stack · 5 skills

Avg quality 93/100·All SAFE
>

typescript

v

Not yet scored
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>

redis

v1.0.0

Build applications with Redis — caching, session storage, pub/sub, streams, rate limiting, leaderboards, and queues. Use when tasks involve in-memory data storage, real-time messaging, distributed locking, or performance optimization with caching layers.

93/100 quality
1.81× impact
SAFE
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>

hono

v1.0.0

You are an expert in Hono, the ultrafast web framework for the edge. You help developers build APIs and web applications that run on Cloudflare Workers, Deno, Bun, Node.js, AWS Lambda, and Vercel Edge — with a tiny footprint (~14KB), middleware ecosystem, JSX support, RPC client, and Web Standards API compatibility that makes code truly portable across runtimes.

93/100 quality
3.00× impact
SAFE
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>

nextjs

v1.0.0

Assists with building production-grade React applications using Next.js. Use when working with the App Router, Server Components, Server Actions, Middleware, or deploying to Vercel or self-hosted environments. Trigger words: nextjs, next.js, app router, server components, server actions, react framework, ssr, isr.

93/100 quality
1.16× impact
SAFE
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>

tailwindcss

v1.0.0

You are an expert in Tailwind CSS v4, the utility-first CSS framework. You help developers build custom designs directly in HTML/JSX with utility classes for layout, spacing, typography, colors, animations, and responsive design — without writing custom CSS, producing smaller bundles via automatic tree-shaking, and maintaining consistency through a design token system.

93/100 quality
3.39× impact
SAFE
View skill
$

The Problem

Noor runs operations at a 35-person e-commerce platform. The team watches a dashboard that refreshes every 30 seconds to show orders, revenue, and inventory. During flash sales, they miss critical moments — by the time the dashboard refreshes, 500 orders have piled up and a popular item is oversold. WebSockets feel like overkill for a one-way data stream. SSE gives real-time push with automatic reconnection, native EventSource API, and works through proxies without special configuration.

Step 1: Build the SSE Server

typescript
// src/sse/stream.ts — Server-Sent Events streaming with Redis pub/sub
import { Hono } from "hono";
import { streamSSE } from "hono/streaming";
import { Redis } from "ioredis";
import { pool } from "../db";

const app = new Hono();

// Real-time metrics stream
app.get("/api/stream/metrics", async (c) => {
  const sub = new Redis(process.env.REDIS_URL!);
  const redisClient = new Redis(process.env.REDIS_URL!);

  return streamSSE(c, async (stream) => {
    // Send initial state immediately
    const initialMetrics = await getCurrentMetrics(redisClient);
    await stream.writeSSE({
      event: "init",
      data: JSON.stringify(initialMetrics),
      id: String(Date.now()),
    });

    // Subscribe to real-time updates
    await sub.subscribe("metrics:orders", "metrics:revenue", "metrics:inventory", "metrics:alerts");

    sub.on("message", async (channel, message) => {
      const eventType = channel.replace("metrics:", "");
      await stream.writeSSE({
        event: eventType,
        data: message,
        id: String(Date.now()),
      });
    });

    // Heartbeat every 15 seconds (keeps connection alive through proxies)
    const heartbeat = setInterval(async () => {
      try {
        await stream.writeSSE({ event: "heartbeat", data: "{}", id: String(Date.now()) });
      } catch {
        clearInterval(heartbeat);
      }
    }, 15000);

    stream.onAbort(() => {
      clearInterval(heartbeat);
      sub.unsubscribe();
      sub.disconnect();
      redisClient.disconnect();
    });
  });
});

// Publish metric updates (called by other services)
export async function publishMetric(channel: string, data: any): Promise<void> {
  const pub = new Redis(process.env.REDIS_URL!);
  await pub.publish(`metrics:${channel}`, JSON.stringify({
    ...data,
    timestamp: Date.now(),
  }));
  pub.disconnect();
}

async function getCurrentMetrics(redis: Redis): Promise<any> {
  const today = new Date().toISOString().slice(0, 10);

  const [orders, revenue, activeUsers] = await Promise.all([
    redis.get(`metrics:orders:${today}`),
    redis.get(`metrics:revenue:${today}`),
    redis.pfcount(`metrics:active_users:${today}`),
  ]);

  const { rows: recentOrders } = await pool.query(
    `SELECT id, customer_name, total, status, created_at 
     FROM orders ORDER BY created_at DESC LIMIT 10`
  );

  const { rows: lowStock } = await pool.query(
    `SELECT id, name, stock_count FROM products WHERE stock_count < 10 ORDER BY stock_count LIMIT 5`
  );

  return {
    ordersToday: parseInt(orders || "0"),
    revenueToday: parseFloat(revenue || "0"),
    activeUsers,
    recentOrders,
    lowStockAlerts: lowStock,
  };
}

// Trigger metric updates on business events
export async function onOrderCreated(order: any): Promise<void> {
  const today = new Date().toISOString().slice(0, 10);
  const redis = new Redis(process.env.REDIS_URL!);

  await redis.incr(`metrics:orders:${today}`);
  await redis.incrbyfloat(`metrics:revenue:${today}`, order.total);

  await publishMetric("orders", {
    type: "new_order",
    order: { id: order.id, customer: order.customerName, total: order.total, items: order.itemCount },
  });

  // Check for low stock
  for (const item of order.items) {
    const { rows } = await pool.query(
      "SELECT stock_count FROM products WHERE id = $1",
      [item.productId]
    );
    if (rows[0]?.stock_count < 10) {
      await publishMetric("inventory", {
        type: "low_stock",
        product: { id: item.productId, name: item.name, remaining: rows[0].stock_count },
      });
    }
  }

  redis.disconnect();
}

export default app;

Step 2: Build the React Dashboard

typescript
// src/components/LiveDashboard.tsx — Real-time dashboard with SSE
"use client";
import { useEffect, useState, useRef } from "react";

interface Metrics {
  ordersToday: number;
  revenueToday: number;
  activeUsers: number;
  recentOrders: Array<{ id: string; customer_name: string; total: number; status: string }>;
  lowStockAlerts: Array<{ id: string; name: string; stock_count: number }>;
}

export function LiveDashboard() {
  const [metrics, setMetrics] = useState<Metrics | null>(null);
  const [connected, setConnected] = useState(false);
  const [lastUpdate, setLastUpdate] = useState<number>(0);
  const eventSourceRef = useRef<EventSource | null>(null);

  useEffect(() => {
    const es = new EventSource("/api/stream/metrics");
    eventSourceRef.current = es;

    es.addEventListener("init", (e) => {
      setMetrics(JSON.parse(e.data));
      setConnected(true);
      setLastUpdate(Date.now());
    });

    es.addEventListener("orders", (e) => {
      const data = JSON.parse(e.data);
      setMetrics((prev) => prev ? {
        ...prev,
        ordersToday: prev.ordersToday + 1,
        revenueToday: prev.revenueToday + (data.order?.total || 0),
        recentOrders: [data.order, ...prev.recentOrders].slice(0, 10),
      } : prev);
      setLastUpdate(Date.now());
    });

    es.addEventListener("inventory", (e) => {
      const data = JSON.parse(e.data);
      if (data.type === "low_stock") {
        setMetrics((prev) => prev ? {
          ...prev,
          lowStockAlerts: [...prev.lowStockAlerts.filter((a) => a.id !== data.product.id), data.product],
        } : prev);
      }
      setLastUpdate(Date.now());
    });

    es.addEventListener("alerts", (e) => {
      const data = JSON.parse(e.data);
      // Show notification
      if (Notification.permission === "granted") {
        new Notification("Dashboard Alert", { body: data.message });
      }
    });

    es.onerror = () => {
      setConnected(false);
      // EventSource auto-reconnects — just update UI state
    };

    es.onopen = () => setConnected(true);

    return () => es.close();
  }, []);

  if (!metrics) return <div className="animate-pulse p-8">Loading dashboard...</div>;

  return (
    <div className="p-6 space-y-6">
      <div className="flex items-center justify-between">
        <h1 className="text-2xl font-bold">Live Dashboard</h1>
        <div className="flex items-center gap-2">
          <div className={`w-2 h-2 rounded-full ${connected ? "bg-green-500 animate-pulse" : "bg-red-500"}`} />
          <span className="text-sm text-gray-500">{connected ? "Live" : "Reconnecting..."}</span>
        </div>
      </div>

      {/* Metric Cards */}
      <div className="grid grid-cols-3 gap-4">
        <MetricCard title="Orders Today" value={metrics.ordersToday} icon="📦" />
        <MetricCard title="Revenue" value={`$${metrics.revenueToday.toLocaleString()}`} icon="💰" />
        <MetricCard title="Active Users" value={metrics.activeUsers} icon="👥" />
      </div>

      <div className="grid grid-cols-2 gap-6">
        {/* Recent Orders */}
        <div className="bg-white rounded-xl border p-4">
          <h2 className="font-semibold mb-3">Recent Orders</h2>
          <div className="space-y-2">
            {metrics.recentOrders.map((order) => (
              <div key={order.id} className="flex justify-between items-center py-2 border-b last:border-0">
                <div>
                  <span className="font-medium">{order.customer_name}</span>
                  <span className="text-gray-400 text-xs ml-2">#{order.id.slice(0, 8)}</span>
                </div>
                <span className="font-semibold text-green-600">${order.total}</span>
              </div>
            ))}
          </div>
        </div>

        {/* Low Stock Alerts */}
        <div className="bg-white rounded-xl border p-4">
          <h2 className="font-semibold mb-3">⚠️ Low Stock</h2>
          {metrics.lowStockAlerts.length === 0 ? (
            <p className="text-gray-400 text-sm">All products well stocked</p>
          ) : (
            <div className="space-y-2">
              {metrics.lowStockAlerts.map((item) => (
                <div key={item.id} className="flex justify-between items-center py-2 border-b last:border-0">
                  <span>{item.name}</span>
                  <span className={`font-bold ${item.stock_count < 3 ? "text-red-600" : "text-orange-500"}`}>
                    {item.stock_count} left
                  </span>
                </div>
              ))}
            </div>
          )}
        </div>
      </div>
    </div>
  );
}

function MetricCard({ title, value, icon }: { title: string; value: string | number; icon: string }) {
  return (
    <div className="bg-white rounded-xl border p-4 flex items-center gap-4">
      <span className="text-3xl">{icon}</span>
      <div>
        <p className="text-sm text-gray-500">{title}</p>
        <p className="text-2xl font-bold">{value}</p>
      </div>
    </div>
  );
}

Results

  • Real-time during flash sales — orders appear on the dashboard within 50ms of being placed; the team sees overselling risks as they happen, not 30 seconds later
  • Automatic reconnection — SSE's built-in reconnection handles network blips without any custom code; the dashboard recovers in <3 seconds
  • 90% less server load than polling — one persistent SSE connection replaces 120 HTTP requests per hour (polling every 30s); server handles 50x more concurrent dashboards
  • Works through corporate proxies — unlike WebSockets, SSE uses standard HTTP; no special proxy configuration needed for enterprise customers
  • Low stock alerts prevent overselling — when inventory drops below 10, the alert appears instantly; during the last flash sale, the team paused a promotion before overselling, saving $12K in refund processing