Monitoring a Notification Service with Angular and Prometheus

Sanjeev Kumar
June 2, 2024
Discover how to monitor a notification service using Angular and Prometheus, with a focus on performance, scalability, and reliability.

Monitoring a notification service is crucial for ensuring its reliability and performance. In this article, we'll explore how to monitor a notification service using Angular and Prometheus.

Architecture Overview

Our monitoring system will consist of the following components:

  1. Notification Service: The backend service responsible for sending notifications.
  2. Angular Frontend: The user interface built with Angular to display monitoring data.
  3. Prometheus: A monitoring system that collects and stores metrics from the notification service.

Setting Up the Environment

  1. Install Angular: Set up an Angular project using the Angular CLI or your preferred method.
  2. Install Prometheus: Install Prometheus on your system and configure it to collect metrics from the notification service.

Implementing Monitoring with Angular and Prometheus

  1. Create a Prometheus Dashboard: Create a Prometheus dashboard to display monitoring data using the Angular frontend.
  2. Collect Metrics: Configure Prometheus to collect metrics from the notification service, such as request latency and error rates.
  3. Visualize Data: Use the Angular frontend to visualize the collected metrics and provide insights into the notification service's performance.
    // Example of a Prometheus dashboard in Angular
    import { Component } from '@angular/core';
    import { HttpClient } from '@angular/common/http';

      selector: 'app-prometheus-dashboard',
      template: `

Prometheus Dashboard

  • {{ }}: {{ metric.value }}
`, }) export class PrometheusDashboardComponent { metrics: any[]; constructor(private http: HttpClient) {} ngOnInit() { this.http.get('http://localhost:9090/metrics') .subscribe((response: any) => { this.metrics =; }); } }

Configuring Prometheus

  1. Configure Prometheus: Configure Prometheus to collect metrics from the notification service using the prometheus.yml file.
  2. Scrape Metrics: Configure Prometheus to scrape metrics from the notification service at regular intervals.
    # Example of a prometheus.yml file
      scrape_interval: 10s
      evaluation_interval: 10s

      - job_name: 'notification_service'
          - targets: ['localhost:3000']

Scalability and Performance

  1. Horizontal Scaling: Scale the notification service horizontally by adding more instances to handle increased traffic.
  2. Load Balancing: Use a load balancer to distribute incoming traffic across multiple instances of the notification service.
  3. Monitoring and Optimization: Continuously monitor the notification service's performance and optimize it as needed to ensure reliability and scalability.

By monitoring a notification service with Angular and Prometheus, you can ensure its reliability and performance, providing a better user experience and reducing the risk of downtime.

Written by:
Sanjeev Kumar
Engineering, SuprSend

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