Using Prometheus and Grafana to implement monitoring and alarming in Beego

With the rise of cloud computing and microservices, application complexity has also increased. Therefore, monitoring and diagnostics become one of the important development tasks. In this regard, Prometheus and Grafana are two popular open source monitoring and visualization tools that can help developers better monitor and analyze applications.

This article will discuss how to use Prometheus and Grafana to implement monitoring and alarming in the Beego framework.

1. Introduction

Beego is an open source rapid development Web application framework that supports MVC architecture and has common functions such as routing, ORM, and Session. It is efficient, simple, and flexible. It has been Used by more and more developers.

Prometheus is a system and service monitoring tool that can collect various indicators and store them in a time series database. Grafana is a very popular open source visualization platform that can connect with a variety of data sources to create beautiful and highly customizable dashboards.

Using Prometheus and Grafana in the Beego framework to implement monitoring and alarming allows us to better understand the running status of the application and respond promptly when an exception occurs in the application.

2. Install and configure Prometheus

1. Download Prometheus

Download the binary file from the Prometheus official website and extract it to the specified directory.

2. Configuring Prometheus

Create the prometheus.yml configuration file in the Prometheus installation directory and configure it as follows:

global:
scrape_interval : 15s
evaluation_interval: 15s

scrape_configs:

• job_name: 'beego'
  scrape_interval: 5s
  static_configs:

  • targets: ['localhost:8080']

Among them, the global configuration defines the frequency of collecting indicators, and the scrape_configs configuration defines the Job to be monitored and Collection frequency and monitoring address.

3. Start Prometheus

Enter the Prometheus installation directory in the command terminal and enter the following command to start Prometheus:

./prometheus --config.file =prometheus.yml

Prometheus will be started at this time and listen to port 9090. You can access the Prometheus web interface through http://localhost:9090.

3. Use Prometheus in Beego

1. Add dependencies

Add dependencies on the prometheus/client_golang library in the Beego application so that the program can work normally Using Prometheus:

import "github.com/prometheus/client_golang/prometheus"

2. Define metrics

Defined in the controller of the Beego application Indicators that need to be monitored, for example:

var myCounter = prometheus.NewCounter(prometheus.CounterOpts{
Name: "my_counter",
Help: "This is my counter",
})

Among them, the NewCounter function is used to create a counter named my_counter and defines the help information of the indicator.

3. Register the indicator

In the init function of the Beego application, register the indicator and register it with Prometheus:

func init() {
prometheus.MustRegister(myCounter)
}

4. Export indicators

After defining the indicator and registering it with Prometheus, you need to export the value of the indicator in the application . In the controller of the Beego application, add the following line of code to increment the value of the indicator:

myCounter.Inc()

The above line of code will be called when each request handler completes , to increment the counter value.

4. Install and configure Grafana

1. Download and install Grafana

Download the latest binary file from the Grafana official website and extract it to the specified directory.

2. Start Grafana

Enter the Grafana installation directory in the command terminal and enter the following command to start Grafana:

./bin/grafana-server web

Grafana will be started at this time and listen to port 3000. You can access Grafana's web interface through http://localhost:3000.

3. Add Prometheus data source

In Grafana's web interface, select Configure Data Sources (Data Sources) and select the Prometheus data source. In the data source configuration, define the Prometheus address (http://localhost:9090) and query parameters.

4. Create Dashboard

Select Create Dashboard in Grafana’s web interface and select Add Panel. In the configuration of the added panel, select the indicators and chart types that need to be displayed, for example:

Grafana can create a variety of charts and dashboards so that developers can better monitor and analyze indicator information.

5. Alarm

Once we find an abnormality in the application, we need to issue an alarm in time. Grafana provides the ability to integrate with a variety of alarm tools, and can send alarm notifications to Slack, Email and other channels.

In Grafana's web interface, select Alerting and create a new alarm. Define rules and alarm notification channels in the alarm.

6. Conclusion

This article introduces how to use Prometheus and Grafana to implement monitoring and alarming in the Beego framework. Through Prometheus, the running status of the application can be indexed and the index changes can be monitored in real time. Grafana can provide developers with the ability to display indicator information in visual dashboards and integrate with a variety of alarm tools. Through the combined use of these two tools, the operating status of Beego applications can be better monitored and the reliability and stability of the applications can be improved.

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