Service monitoring and alarm mechanism of TP6 Think-Swoole RPC service

TP6 Think-Swoole RPC service service monitoring and alarm mechanism

In the development process, we often use RPC (Remote Procedure Call, remote procedure call) services to implement communication between different services. In the TP6 framework, we can use Think-Swoole extensions to implement high-performance RPC services. However, when the system is abnormal or the service is down, we need a reliable service monitoring and alarm mechanism to detect and solve the problem in time.

This article will introduce how to implement the service monitoring and alarm mechanism of RPC services in the TP6 framework, and provide some specific code examples.

1. Monitoring service status

1. Monitoring using Prometheus
   Prometheus is an open source monitoring system that can be used to record and query various indicators. We can use Prometheus to monitor the status of RPC services.

   Code sample (composer.json):

   {
       "require": {
           "promphp/prometheus_client_php": "2.0"
       }
   }

   // 在RpcServer中添加以下代码，用来统计请求数量
   use PrometheusCollectorRegistry;
   use PrometheusRenderTextFormat;
   use PrometheusStorageInMemory;
   
   $registry = new CollectorRegistry(new InMemory());
   $counter = $registry->registerCounter('rpc_request_total', 'Total number of RPC requests', ['protocol', 'service'], 'rpc');
   $counter->incBy(1, ['swoole', 'example']);
   
   // 在控制器中添加以下代码，用来输出Prometheus格式数据
   $renderer = new RenderTextFormat();
   $result = $renderer->render($registry->getMetricFamilySamples());
   return json($result);

2. Use Grafana to display monitoring data
   Grafana is a powerful visual monitoring platform that can integrate Prometheus and other data Display and analyze source monitoring data. We can use Grafana to display monitoring data of RPC services.

   Code example (docker-compose.yml):

   services:
     grafana:
       image: grafana/grafana
       ports:
         - "3000:3000"
       environment:
         - GF_SECURITY_ADMIN_PASSWORD=admin
       depends_on:
         - prometheus

   Visit localhost:3000 in the browser, log in to Grafana using the default username admin and password admin, add Prometheus data source, and create dashboards to display monitoring data of RPC services.

2. Alarm mechanism

1. Use Alertmanager for alarm
   Alertmanager is part of Prometheus and is used to return alerts for violations of specific rules Manage and send mass notifications. We can use Alertmanager to implement the alarm mechanism of RPC services.

   Code example (docker-compose.yml):

   services:
     alertmanager:
       image: prom/alertmanager
       command:
         - "--config.file=/etc/alertmanager/config.yml"
       ports:
         - "9093:9093"
       volumes:
         - ./alertmanager.yaml:/etc/alertmanager/config.yml

   alertmanager.yaml example:

   global:
     smtp_smarthost: 'smtp.example.com:25'
     smtp_from: 'alertmanager@example.com'
     smtp_auth_username: 'alertmanager'
     smtp_auth_password: 'password'
   
   route:
     receiver: 'default-receiver'
     group_by:
       - instance
     group_interval: 5m
     repeat_interval: 1h
   
   receivers:
   - name: 'default-receiver'
     email_configs:
       - to: 'admin@example.com'
         send_resolved: true

   Visit localhost:9093 in the browser, Configure alarm rules and notification methods. When the RPC service is abnormal or down, Alertmanager will send an email to notify the relevant person in charge.

2. Use DingTalk Robot to Alarm
   DingTalk Robot is a robot service launched by DingTalk that can send messages to designated DingTalk groups through the HTTP interface. We can use DingTalk robot to implement the alarm mechanism of RPC service.

   Code example:

   /**
   * 钉钉机器人报警
   * @param string $message 报警消息
   */
   public function sendDingTalkAlert($message)
   {
       $accessToken = 'your_access_token'; // 钉钉机器人的Access Token
   
       $url = 'https://oapi.dingtalk.com/robot/send?access_token=' . $accessToken;
       $data = json_encode([
           'msgtype' => 'text',
           'text' => [
               'content' => $message
           ]
       ]);
   
       $ch = curl_init();
       curl_setopt($ch, CURLOPT_URL, $url);
       curl_setopt($ch, CURLOPT_POST, 1);
       curl_setopt($ch, CURLOPT_POSTFIELDS, $data);
       curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
       curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
   
       $response = curl_exec($ch);
       curl_close($ch);
   
       return $response;
   }

   When the RPC service is abnormal or down, call the sendDingTalkAlert method to send an alarm message, and send the message to the specified DingTalk robot through the DingTalk robot Pin groups.

Summary:

This article introduces how to implement the service monitoring and alarm mechanism of RPC services in the TP6 framework. By using Prometheus and Grafana to display monitoring data, using Alertmanager for alarm notification, and using DingTalk robots to send alarm messages, we can discover and solve RPC service problems in a timely manner and improve the reliability and stability of the system. Hope this article can be helpful to you.

The above is the detailed content of Service monitoring and alarm mechanism of TP6 Think-Swoole RPC service. For more information, please follow other related articles on the PHP Chinese website!