Retry patterns are essential in ensuring the reliability and performance of services. They help in reducing errors and improving user satisfaction by providing a smooth user experience even during transient failures. In this context, Service Level Indicators (SLIs) and Service Level Objectives (SLOs) play a crucial role in measuring the effectiveness of retry mechanisms.
Retry Patterns, SLIs, SLOs, Service Reliability, Performance Monitoring
// Example of a retry pattern in PHP
function retry($fn, $maxRetries = 3, $delay = 1000) {
$attempts = 0;
while ($attempts < $maxRetries) {
try {
return $fn();
} catch (Exception $e) {
$attempts++;
if ($attempts >= $maxRetries) {
throw $e; // Exceeded max retries, rethrow exception
}
usleep($delay); // Wait before retrying
}
}
}
// SLI example: measuring success rate of retries
$successRate = $successfulRetries / $totalRetries;
// SLO example: target a 95% success rate for retries
$sloTarget = 0.95;
if ($successRate < $sloTarget) {
// Log or alert as SLO is violated
}
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