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System monitoring and diagnosis based on RPC service based on ThinkPHP6 and Swoole

Oct 12, 2023 am 09:06 AM
thinkphp rpc swoole

System monitoring and diagnosis based on RPC service based on ThinkPHP6 and Swoole

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

  1. ThinkPHP6
    ThinkPHP6 is an excellent PHP development framework that is simple, efficient and flexible. It has rich functional modules and extension mechanisms, allowing developers to quickly build various types of web applications.
  2. Swoole
    Swoole is a high-performance PHP extension that provides asynchronous and concurrent programming capabilities. It can replace the traditional PHP-FPM as the server-side operating environment, greatly improving the performance and stability of PHP programs.

3. System monitoring and diagnosis function design

  1. Monitoring function
    System monitoring mainly collects system running status data at regular intervals, such as CPU, memory, disk , network, etc., and then store it in a database or cache, and provide a query interface for front-end display, so that administrators and developers can understand the running status of the system in real time and discover and solve problems in a timely manner.
  2. Diagnostic function
    System diagnosis mainly detects system abnormality problems regularly, such as log errors, database connection errors, performance bottlenecks, etc., and then records them in log files or sends emails to notify relevant personnel so that Troubleshoot and fix problems promptly.

4. Code implementation

  1. Create RPC service
    First, we need to create an RPC service to receive client requests and call the corresponding method.
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
}
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  1. Configure RPC service
    In the project configuration file 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
        ],
    ],
];
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  1. Start the RPC service
    In the project’s entry file 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);
}
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  1. Client call
    In the client code, we can use PHP's 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'] . "%";
}
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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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