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How to use Go language for monitoring and alarming
Introduction:
With the popularization of the Internet, the availability and stability of the system have become more and more important. When something goes wrong with our application, we might want to be able to detect it quickly and take timely action. Therefore, monitoring and alerting are an essential part of building stable applications. This article will explore how to use Go language for monitoring and alarming, and use some code examples to help readers better understand and practice these technologies.
1. Monitoring
Before we start monitoring, we need to decide what indicators we want to monitor. Generally speaking, we can pay attention to the following aspects:
Next, we will use Go language and some commonly used monitoring libraries to monitor these indicators.
package main import ( "net/http" "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/client_golang/prometheus/promhttp" ) var ( cpuUsage = prometheus.NewGauge(prometheus.GaugeOpts{ Name: "system_cpu_usage", Help: "Current CPU usage", }) memoryUsage = prometheus.NewGauge(prometheus.GaugeOpts{ Name: "system_memory_usage", Help: "Current memory usage", }) ) func main() { prometheus.MustRegister(cpuUsage) prometheus.MustRegister(memoryUsage) http.Handle("/metrics", promhttp.Handler()) go http.ListenAndServe(":8080", nil) // 模拟指标采集 for { cpuUsage.Set(getCPUUsage()) memoryUsage.Set(getMemoryUsage()) } } func getCPUUsage() float64 { // 获取并计算当前CPU使用率的逻辑 return 0.8 } func getMemoryUsage() float64 { // 获取并计算当前内存使用率的逻辑 return 0.6 }
The above code uses the github.com/prometheus/client_golang
package to achieve indicator exposure and collection. We registered two indicators, cpuUsage
and memoryUsage
, and started an HTTP service in the main
function. The service will listen to port 8080 by default and provide The /metrics
interface is used for indicator collection. In the getCPUUsage
and getMemoryUsage
functions, we can write specific logic to obtain and calculate the corresponding indicator values.
In Grafana, we can create customized dashboards, add the indicators we are interested in to the panel, and display the data through a variety of chart types. In addition, Grafana also supports adding alert rules. When indicators exceed set thresholds, alerts can be triggered and notifications sent.
2. Alarm
Monitoring can only detect problems under abnormal circumstances, but we also hope to be notified before problems occur, which requires the use of an alarm system. Next, we will use the Go language and some commonly used alarm libraries to implement the alarm function.
The following is an example Alertmanager configuration file example:
global: resolve_timeout: 5m route: receiver: default receivers: - name: default webhook_configs: - url: http://localhost:8081/alertmanager-webhook send_resolved: true
In this configuration file, we specify the method of receiving alert notifications as Webhook, and send the alert events to http://localhost:8081/alertmanager-webhook
This address.
package main import ( "fmt" "net/http" ) func main() { http.HandleFunc("/alertmanager-webhook", func(w http.ResponseWriter, r *http.Request) { // 解析告警通知的内容 // 根据告警规则进行相应的处理 // 发送告警通知给相关人员或群组 fmt.Fprintln(w, "Alert received") }) http.ListenAndServe(":8081", nil) }
In this example, we use the net/http
package in the Go language standard library to implement the HTTP server function. We send the alarm notification sent by Alertmanager to the interface /alertmanager-webhook
, and then in the callback function, we can parse the content of the notification and perform corresponding logical operations as needed, such as sending emails or text messages, etc.
Summary:
This article introduces how to use Go language for monitoring and alarming. We implemented the system monitoring function by using Prometheus for indicator collection and combining it with Grafana for indicator visualization. At the same time, we also used Alertmanager for alarm management, and wrote an alarm processor in Go language to receive and process alarm notifications. I hope this article can help readers better understand and practice monitoring and alarm technology.
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