Logging and monitoring strategies in PHP CI/CD and automated deployment

In PHP CI/CD, logging and monitoring strategies help ensure application stability: Log strategy: Divided into different levels (information, warning, error) and concentrated into a single location. Regularly clear old logs and send them to third-party services. Carry out storage and analysis monitoring strategy: use tools to collect and visualize indicators (performance, resource utilization, error rate), set thresholds and alarms, monitor availability and response time, monitor key system resources

Logging and monitoring strategies in PHP CI/CD and automated deployment

Logging and monitoring in the CI/CD pipeline are indispensable and can help you quickly identify and solve problems to ensure Your application always runs normally. This article explains logging and monitoring strategies when adopting PHP CI/CD practices.

Log Strategy

A robust logging strategy should cover the following aspects:

• Log levels: Divide logs into different levels (e.g. info, warning, error) to prioritize and filter logs.
• Log aggregation: Concentrate logs from different applications or components into a single location for easy viewing and analysis.
• Log rotation: Clear old logs regularly to manage storage space.
• Log forwarding: Send logs to a third-party service (such as Sentry or Loggly) for storage and analysis.

Log practice:

• Use Monolog or PSR-3 interface to manage logs.
• Set the appropriate log level and filter logs as needed.
• Enable log rotation to avoid log files becoming too large.
• Consider using a log forwarding service to facilitate remote access and analysis of logs.

Monitoring Strategy

An effective monitoring strategy helps you track and measure key metrics of your application, such as:

• Application performance (response time, throughput)
• System resource utilization (CPU, memory)
• Error rate

Monitoring practice:

• Use monitoring tools such as Prometheus or Datadog to collect and visualize metrics.
• Set thresholds and alerts to be notified when there are performance issues.
• Monitor application availability and response times.
• Monitor key system resources such as CPU and memory usage.

Practical case

Laravel application logging and monitoring

The following example demonstrates how to use Laravel application Monolog and Prometheus are used in the program for logging and monitoring:

Log settings:

use Monolog\Logger;
use Monolog\Handler\StreamHandler;

$app->configureMonologUsing(function (Monolog\Logger $monolog) {
    $monolog->pushHandler(new StreamHandler(storage_path('logs/laravel.log'), Logger::DEBUG));
});

Monitoring settings:

use Spatie\LaravelIgnition\Facades\Flare as Ignition;

Ignition::usePrometheusCollector(function () {
    return [
        'app_request_count' => Prometheus::counter('app_request_count', 'Count of requests to the application'),
        'app_request_time' => Prometheus::histogram('app_request_time', 'Histogram of request time'),
    ];
});

Conclusion

The logging and monitoring strategies provided in this article will help you maintain the stability of your PHP applications in automated deployments. By implementing these practices, you can quickly identify and resolve issues to ensure seamless application operation.

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