Methods for implementing monitoring in Core Web API

To implement monitoring in the Core Web API, some popular open source projects can be used. These tools can help you monitor API performance, request, response time, error rate, and more. Here are a few commonly used open source monitoring tools:

Prometheus and Grafana:

• Prometheus: An open source system monitoring and alarm toolkit suitable for large-scale microservice architectures. Prometheus collects data through pulling and provides a powerful query language PromQL.
• Grafana: An open source visualization tool that can be integrated with Prometheus to display collected data.
• Integration Method: You can useMiddleware to collect metrics for Core Web API.

Elastic Stack (ELK Stack):

• Including Elasticsearch, Logstash, and Kibana.
• Elasticsearch: A search and analysis engine for storing and querying log data.
• Logstash: A data processing pipeline for collecting, converting, and transmitting data from multiple sources to Elasticsearch.
• Kibana: An open source analytics and visualization platform for presenting data on Elasticsearch.
• Integration Method: You can useSerilogCombinedLog and send to Elasticsearch.

Jaeger:

• An open source distributed tracking system for monitoring and troubleshooting microservice architecture.
• Integration Method: You can useJaeger .NETClient library to track and record the path and performance of distributed requests.

Application Insights:

• Although Application Insights is a Microsoft service, it also provides an open source SDK for integration.
• Integration Method: usePackage to collect application performance and diagnostic data.

Example: Monitoring with Prometheus and Grafana

Add NuGet package:

dotnet add package 

existConfigure Prometheus middleware:

public void ConfigureServices(IServiceCollection services)
{
    ();
    // Other service configuration...}

public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
    if (())
    {
        ();
    }

    ();

    (); // Add Prometheus middleware
    (endpoints =>
    {
        ();
        (); // Expose Prometheus metric endpoints    });
}

Run Prometheus and Grafana:

Use Docker Compose to configure and launch Prometheus and Grafana:

version: '3.7'
services:
  prometheus:
    image: prom/prometheus
    volumes:
      - ./:/etc/prometheus/
    ports:
      - "9090:9090"
  grafana:
    image: grafana/grafana
    ports:
      - "3000:3000"

Configuration file:

global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'aspnetcore'
    metrics_path: '/metrics'
    static_configs:
      - targets: [':5000']

With these tools and configurations, you can effectively monitor the health and performance of your Core Web API.

This is the end of this article about how to implement monitoring in the Core Web API. For more related Core Web API monitoring content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!