How to use Go language to implement a monitoring and alarm system

In today's big data era, more and more enterprises and organizations need to monitor their IT infrastructure in real time to ensure its security, stability and efficiency. As an important part of these monitoring systems, the alarm system can promptly notify the administrator to handle when an abnormality occurs in the system. As an efficient, safe, and highly concurrency programming language, Go language is used by more and more companies to implement their own monitoring and alarm systems.

This article will introduce the process of implementing a monitoring and alarm system using Go language.

1. Requirements Analysis

Before development, we need to clearly understand the customer's needs, determine which indicators need to be monitored, such as server load, disk space, network traffic, etc., and based on Different indicators set different alarm thresholds. At the same time, we need to be able to transmit monitoring data to the alarm system in real time so that we can respond in a timely manner.

2. Technology selection

The Go language is naturally suitable for developing high-concurrency network services, so we choose to use it to implement the monitoring and alarm system. At the same time, we need to use third-party libraries to quickly build service framework and database management. Here we choose to use the gin framework and gorm library.

3. Code implementation

1. Design of database model

We need to design two models: monitoring data model and alarm model. The monitoring data model is used to store monitored data, and the alarm model is used to store alarm information.

The code of the monitoring data model is as follows:

type MonitorData struct {
    gorm.Model
    SystemName string `gorm:"type:varchar(100);not null;index:idx_systemname"`
    MetricName string `gorm:"type:varchar(100);not null;index:idx_metricname"`
    Value float64 `gorm:"not null"`
}

The code of the alarm model is as follows:

type Alarm struct {
    gorm.Model
    SystemName string `gorm:"type:varchar(100);not null;index:idx_systemname"`
    MetricName string `gorm:"type:varchar(100);not null;index:idx_metricname"`
    Threshold float64 `gorm:"default:0;not null"`
    AlarmType int `gorm:"default:1;not null"`
    Message string `gorm:"type:varchar(500);not null"`
}

2. Define the monitoring data collector

We need to define a port to receive monitoring data and store the data in the database. Goroutines can be used to implement the ability to process data concurrently.

func StartMonitorDataCollect() {
    go func() {
        for {
            monitorData := collectMonitorData()
            db.Create(&monitorData)
            time.Sleep(time.Second * 10)
        }
    }()
}

func collectMonitorData() *MonitorData {
    //TODO 采集监控数据
    return &MonitorData{}
}

3. Define the alarm checker

We need to check the monitoring data in the database and send alarm notifications for data that exceeds the threshold. Goroutines can be used to implement the ability to process data concurrently.

func StartAlarmCheck() {
    go func() {
        for {
            monitorDataList := getMonitorDataList()
            for _, monitorData := range monitorDataList {
                checkAndAlarm(monitorData)
            }
            time.Sleep(time.Second * 10)
        }
    }()
}

func getMonitorDataList() []MonitorData {
    var monitorDataList []MonitorData
    db.Where("created_at > ?", time.Now().Add(-time.Minute)).Find(&monitorDataList)
    return monitorDataList
}

func checkAndAlarm(monitorData MonitorData) {
    var alarm Alarm
    db.Where("system_name = ? AND metric_name = ?", monitorData.SystemName, monitorData.MetricName).First(&alarm)
    if alarm.ID == 0 {
        return
    }
    if alarm.AlarmType == 1 && monitorData.Value > alarm.Threshold {
        //TODO 发送告警通知
    } else if alarm.AlarmType == 2 && monitorData.Value < alarm.Threshold {
        //TODO 发送告警通知
    }
}

4. Summary

Through the above code implementation, we have successfully developed an efficient, safe and capable monitoring and alarm system that can support large amounts of data. At the same time, we use Go language, gin framework, gorm library and other technologies in the project. These technologies ensure the efficiency, safety and reliability of development. This implementation method is also very feasible in actual projects and can be customized according to project needs.

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