Introduction:
The project “Live Tracking in Grafana” aims to provide a real-time tracking solution using Grafana, a powerful open-source data visualization tool. This project leverages various technologies such as HTML, JS, Node.js, PostgreSQL, and Grafana to achieve live tracking functionality. The primary objective is to track and visualize the live location data on a map interface using Grafana.
Architecture:
The architecture of the Live Tracking system comprises the following components:
Client Side: The HTML code is responsible for fetching the OpenStreetMap API to obtain the current latitude and longitude of the user’s location. This data is then sent to the server for further processing.
Server: A backend server is created using Node.js to handle incoming requests from the front end. This server retrieves the live location data sent from the HTML code and inserts it into the PostgreSQL database.
Database: A PostgreSQL database is utilized to store the live location data. A table is created with defined column names and data types to store latitude, longitude, timestamp, and any other relevant information.
Administrator: A Grafana dashboard is created to visualize the live location data. The dashboard is configured to fetch data from the PostgreSQL database and display it on a map interface in real-time.
Steps:
The following steps were followed to implement the Live Tracking in Grafana project:
Step 1: HTML code was written to fetch the OpenStreetMap API and obtain the current latitude and longitude of the user’s location.
Step 2: PostgreSQL Database: A table was created in the PostgreSQL database with defined column names and data types to store live location data.
Step 3: Node.js Backend Server: A backend server was created using Node.js to handle incoming requests from the front end. This server retrieves live location data from the HTML code and inserts it into the PostgreSQL database.
Step 4: Grafana Dashboard: A Grafana dashboard was created to visualize the live location data stored in the PostgreSQL database. The dashboard was configured to display the data on a map interface in real-time.
By following these steps, the Live Tracking in Grafana project was successfully implemented, allowing users to track and visualize their live location data efficiently.
This report summarizes the process and architecture involved in implementing the Live Tracking in Grafana project, highlighting the key steps followed and technologies used.