The Real Problem: The Gap Between Past Data and Present Issues
You're running a React app in production. You have monitoring tools in place. You check the dashboard regularly. And yet.
Tuesday morning, you deploy. Everything looks good in staging. Users are happy.
By Thursday, things have changed.
Your app's Largest Contentful Paint (LCP) jumps from 1.2s to 2.8s.
But you didn't notice. Your users did.
By Friday, your app store reviews are filled with complaints: "This app is so slow."
It's too late now.
At this point, your monitoring tool tells you: "Yes, looking at the past hour's data, LCP has indeed increased."
But that's just reporting after the fact.
"Monitoring" and "Alerting" Are Two Different Things—And Your Tools Are Missing One
You probably already have some form of monitoring in place:
- Error tracking tools (capturing exceptions and stack traces)
- Analytics platforms (showing you performance data from the past week)
- APM solutions (analyzing past traces)
What all of these have in common: they tell you "what happened" by looking at historical data.
In other words:
Monitoring = Looking at past data to identify problems after they occur
What you actually need is:
Alerting = Knowing immediately when a problem is happening right now
Existing tools excel at monitoring, but their alerting is limited to "notifications based on pre-configured metrics"—and even then, there's a delay of minutes to tens of minutes while data aggregates.
During those minutes:
- Users abandon your app
- They switch to a competitor
- They leave a negative review
React teams have the tools to understand what happened, but lack the tools to know it's happening.
Why This Gap Exists
Traditional monitoring and APM tools are designed for one purpose: detailed root cause analysis.
As a result, they require time to aggregate, analyze, and normalize data—which is why they end up showing you historical performance data rather than real-time signals.
What's missing from the ecosystem is a dedicated tool that answers: "Is there a problem happening right now?"
The typical React team's tool stack looks like this:
- Detailed analysis ← Existing monitoring tools (Datadog, New Relic, etc.)
- Real-time alerts ← This gap exists
What You Actually Need: Simple Real-Time Alerting
The good news: you don't need anything complex.
- Real-time measurement: Capture Core Web Vitals (LCP, FCP, CLS) directly in the browser
- Instant judgment: Threshold exceeded → immediate notification
- Team-wide alerts: Slack/Discord notifications
- Essential info only: What? When? Where? How bad?
That's it. With just these, your team can react immediately when production performance degrades.
The Answer: RPAlert Fills That Gap
We built RPAlert to solve exactly this problem.
RPAlert detects real-time performance degradation in your React app and sends instant alerts to Slack or Discord—nothing more, nothing less.
It's the real-time alerting layer that fills the gap in your existing monitoring stack.
Getting Started in 1 Minute
npm install rpalert-sdk
// app.tsx or root layout
import { RPAlertProvider } from "rpalert-sdk/react";
export default function RootLayout({ children }: { children: React.ReactNode }) {
return (
<html lang="en">
<body>
<RPAlertProvider apiKey="YOUR_API_KEY">
{children}
</RPAlertProvider>
</body>
</html>
);
}
Once installed, RPAlert automatically:
- Measures LCP (Largest Contentful Paint)
- Measures FCP (First Contentful Paint)
- Measures CLS (Cumulative Layout Shift)
- Detects long tasks (anything blocking the main thread for 50ms+)
- Sends alerts the moment thresholds are exceeded
What You'll Actually See
Your Discord/Slack channel receives a message like this:
⚠️ LCP Alert — my-shop.com
LCP: 4.2s | Threshold: 2.5s | +68% over limit
Page: /products/winter-sale
Detected: 11:43 PM - Mar 25
App: my-shop.com
One message. Complete context. No noise.
Beyond real-time alerts, RPAlert also gives you a dashboard to track trends:
Performance trends over time:
- LCP trend visualization (past 30 days)
- Page-level breakdown (which pages are slowest)
- All metrics in one place (FCP, CLS, long task counts)
- Alert history (7 to 90 days depending on your plan)
RPAlert Is Not a "Monitoring Tool"—It's an "Alerting Layer"
This is important: RPAlert is not trying to replace Datadog or New Relic.
Rather:
- "What is happening?" → Use your existing monitoring tools
- "Is something happening right now?" → Use RPAlert
Think of RPAlert as a smoke detector. It tells you there's a fire, but you still need your existing tools to find it and extinguish it.
The winning combination: RPAlert + your existing monitoring stack
This two-layer approach finally gives React teams a complete workflow: detect immediately, analyze deeply.
Pricing: Start Free, Scale as You Grow
Free plan:
- 1 alert per month (free forever—just to try it)
- Next alert onwards requires a paid plan
Pro ($29.99/month):
- 50 alerts per month
- Up to 3 apps
- 30-day alert retention
Max ($49.00/month):
- 500 alerts per month
- Unlimited apps
- 90-day alert retention
What Your Team Gets
Frontend engineers:
- Know immediately if your deploy broke something
- Rollback decisions can be made in seconds, not hours
- Real data from real users, not synthetic benchmarks
Product teams:
- Early warning before users complain
- Identify which performance improvements actually move the needle
- Connect performance degradation to specific feature launches
DevOps / Infrastructure:
- Performance regressions caught in minutes, not days
- MTTR (mean time to recovery) drops from hours to seconds
- Easy correlation with deployment timestamps
Everyone:
- A shared understanding: "What's actually happening in production right now?"
Get Started Today
RPAlert is free to try. No credit card required.
It takes 5 minutes to set up.
Visit rpalert.com, create an app, drop the SDK into your React app, and experience real-time performance alerting for the first time.
That 30-second advantage between problem and awareness? It's the difference between a graceful fix and a support crisis.
Questions?
Drop a comment below. We'd love to hear what production performance challenges your React teams are dealing with.
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