From 0 to Production Monitoring in 5 Minutes

Setting up observability shouldn't be an all-day project. In this guide, we'll go from zero to full production monitoring with Lognitor in under 5 minutes. You'll have log management, error tracking, AI insights, and uptime monitoring all configured and ready to go. You can read full documentation later — for now, let's get you set up with the essentials.

Step 1: Create your account (30 seconds)

Sign up at Lognitor. You'll get a free plan with 10,000 logs per month — enough to evaluate the platform with real data.

Step 2: Create a project (15 seconds)

Once you're in the dashboard, create a new project. Give it a name that matches your service (e.g., "api-production" or "web-app"). You'll get a project key immediately.

Step 3: Install the SDK (60 seconds)

Install the Lognitor SDK for your language:

# Node.js
npm install @lognitor/node

# React
npm install @lognitor/react

# Python
pip install lognitor

# Php
composer require lognitor/lognitor

Step 4: Initialize (30 seconds)

Add two lines to your application's entry point:

import Lognitor from "@lognitor/node";

Lognitor.init({
  apiKey: "your-project-api-key",
  environment: "production",
});

That's it for basic setup. Now send logs from anywhere in your code:

Lognitor.info("Server started on port 3000");
Lognitor.warn("Rate limit approaching");
Lognitor.error("Database connection failed", {
  error: new Error("ECONNREFUSED"),
  metadata: { host: "db.internal", port: 5432 },
});

You can also send structured metadata with any log to make searching and filtering easier.

Step 5: Verify (60 seconds)

Deploy your change or trigger a test log. Head to your Lognitor dashboard — you should see logs appearing in the Live Tail view within seconds.

What happens next

Once logs are flowing, Lognitor starts working immediately:

• Errors are grouped by fingerprint and stack trace similarity
• AI auto-triage begins classifying error severity and suggesting root causes
• Baseline patterns are established for anomaly detection
• Smart alerts are suggested based on your log patterns

Optional: Set up uptime monitoring

While you're here, add an uptime monitor for your production endpoint:

1. Go to Monitors in the dashboard
2. Click "New Monitor"
3. Enter your URL and check interval
4. Set notification preferences

You'll get alerts the moment your service goes down, with response time tracking and status history.

You're done

In under 5 minutes, you now have log management, error tracking, AI-powered insights, and uptime monitoring for your production service. As your needs grow, explore alerts, release tracking, session replay, and the AI chat assistant.

Welcome to Lognitor.