1. Project Overview

[Report Monitor] A Complete, High-Performance, Highly Available Event Tracking Monitoring and Analytics Platform

• The project has been deployed to the production environment and has been running stably for some time. Feel free to use it.
• For initial deployment, a standalone database or MongoDB replica set architecture is recommended. Consider using a sharded cluster later based on your actual requirements.
• Currently, a standalone server with 4 cores and 8 GB RAM can support approximately 500,000–1 million PV per day, while a standalone server with 8 cores and 16 GB RAM can support 1–5 million PV.
• After adding appropriate indexes to backend queries, datasets containing over 10 million records can be queried within 100 ms–2 seconds, with an average response time of 100–300 ms (standalone/replica set).

2. Open Source License

Licensed under MIT

3. Screenshots

4. Feature Overview

Login and Registration

Change Password and Log Out

Initialize the Project

• Create a New Project
• Bind an Existing Project

Data Points

• Data Point Management
• Category Management

Performance Monitoring Points

• Performance Monitoring Point Management
• Category Management

Logs

• Log Management

Settings

• Personal Center
• Data Point Presets
• Performance Monitoring Point Presets

5. Tech Stack

Project Design Principles

Event Reporting Instructions

Browser

Reference Reporting SDK

Java

String href = 'website domain'+'/rapi/report/create?code=xxxx'
CloseableHttpClient httpclient = HttpClients.createDefault();
httpclient.execute(new HttpGet(href));

python

import  requests
href = 'website domain'+'/rapi/report/create?code=xxxx'
requests.get(href)

Other programming languages work similarly. You only need to send a simple GET request.

Project Deployment and Startup

Install MongoDB and Redis

MongoDB:

Install MongoDB on Windows

Install MongoDB on Linux

Redis:

Install Redis

Start (nestjs)

Development:

npm run start:dev

Production:

npm run build