Group
  • Deployment

    Build a launch-day monitoring dashboard

    One screen with the six or seven numbers that tell you whether the app is healthy right now.

    • Plan & validate
    • Improve quality
    • Intermediate
    • General

Free Prompt

Build a single monitoring dashboard I'll actually stare at on launch day and afterward. Not the default 'here are 40 charts' the platform gives you; the six or seven numbers that answer 'is the app healthy right now'. Include: 1. Request volume: requests per minute over the last hour and last 24 hours. Sudden drops or spikes are the signal I need to react to. 2. Error rate: server 5xx rate as a percentage, over the last few minutes. Rate, not count. 3. Latency: p50 and p95 response times for the main routes. Not average. 4. Database health: active connections vs pool max, and query time p95. Connection saturation is the most common launch-day surprise. 5. Queue health: depth and age of oldest job on critical queues. 6. Business signal: sign-ups per hour, checkouts per hour, or whatever 'users are actually completing the core action' looks like for my app. This catches the outage where everything technical is fine but the funnel is broken. 7. Deploy marker: overlay recent deploys on the graphs so when latency spikes at 3:14pm I can see the deploy at 3:12pm. Also: 8. Use the platform I already have (Grafana, Datadog, the platform's built-in dashboard, or a tool like Baselime/Axiom). Don't build a new stack the week of launch. 9. Put it on a URL I can pull up on my phone. 10. Add a mini status readout at the top: green/yellow/red on each of the above at a glance. Don't add 40 charts. The deliverable is one dashboard with these numbers, deploys overlaid, accessible from my phone, and a quick screenshot in the runbook so someone else can find it if I'm unreachable.

What This Does / How This Helps

This gives you one screen with the numbers that actually predict trouble: request rate, error rate, tail latency, database saturation, queue age, and a business-level signal, plus deploy markers so you can correlate spikes. On launch day you'll want to check the app is healthy every ten minutes without becoming a full-time metrics-reader. A single tuned dashboard turns that into a five-second glance and makes it obvious which of the many possible failure modes just started, so you're diagnosing before support tickets arrive.

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