Discover how to measure and enhance the efficiency of Traefik, the modern reverse proxy and load balancer suitable for microservices.
Traefik, Efficiency Measurement, Load Balancer, Reverse Proxy, Microservices, Performance Tuning
<?php
// Example of measuring Traefik efficiency using Prometheus metrics
$traefikMetrics = file_get_contents('http://localhost:8080/metrics');
// Parse the metrics
$metrics = explode("\n", $traefikMetrics);
// Example for calculating request duration
foreach ($metrics as $metric) {
if (strpos($metric, 'http_request_duration_seconds') !== false) {
preg_match('/http_request_duration_seconds{.*} (\d+\.\d+)/', $metric, $matches);
$requestDuration = (float)$matches[1];
echo "Request Duration: " . $requestDuration . " seconds\n";
}
}
?>
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?