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Realizing system monitoring and diagnosis based on RPC services of ThinkPHP6 and Swoole
1. Introduction
In the information construction of modern enterprises, system monitoring and diagnosis are Indispensable part. By monitoring the operating status of the system and diagnosing abnormal system problems, possible performance problems and faults in the system can be discovered and resolved in a timely manner to ensure the stable operation of the system. This article will introduce how to implement system monitoring and diagnosis functions based on ThinkPHP6 and Swoole's RPC service, and provide code examples.
2. Technology Selection
3. System monitoring and diagnosis function design
4. Code implementation
namespace apppc; use thinkswooleRpcServer; use thinkswooleRpcProtocol; class MonitorService extends Server { protected $allowMethods = ['getSystemInfo']; protected function getSystemInfo() { // 获取系统运行状态数据的逻辑代码 return [ 'cpu' => 80, 'memory' => 60, 'disk' => 50, 'network' => 100, ]; } // 其他监控与诊断方法 }
config/swoole_rpc.php
, configure the relevant information of the RPC service. return [ // RPC服务相关配置 'servers' => [ 'monitor' => [ // 服务名称 'host' => '0.0.0.0', 'port' => 9502, 'service' => pppcMonitorService::class, // RPC服务类 ], ], ];
public/index.php
, configure and start the RPC service. // 注册RPC服务 $app->configure('swoole_rpc'); $app->register( hinkswoolepcServiceProvider::class); // 启动RPC服务器 if ($command === 'rpc') { hinkswoolepcRpcServer::start(); exit(0); }
jsonrpcclient
library to call the RPC service method. $client = new JsonRPCClient('http://127.0.0.1:9502'); $result = $client->execute('getSystemInfo'); if ($result) { // 处理返回的系统运行状态数据 echo "系统CPU使用率:" . $result['cpu'] . "%"; echo "系统内存使用率:" . $result['memory'] . "%"; echo "系统磁盘使用率:" . $result['disk'] . "%"; echo "系统网络使用率:" . $result['network'] . "%"; }
The above code example implements the function of system monitoring and diagnosis based on RPC services based on ThinkPHP6 and Swoole. By regularly collecting and storing system operating status data, and regularly detecting system anomalies and notifying relevant personnel, possible performance problems and faults in the system can be discovered and resolved in a timely manner to ensure the stable operation of the system.
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