What logs and metrics are most useful for Kafka?

Kafka logs and metrics play a vital role in monitoring the performance and reliability of Kafka systems. By analyzing these metrics, you can troubleshoot issues, optimize resource utilization, and ensure the smooth functioning of your message broker system.
Kafka, logs, metrics, monitoring, performance, troubleshooting, message broker
// Example of retrieving Kafka consumer metrics use RdKafka\Consumer; use RdKafka\ConsumerTopic; $consumer = new Consumer(); $consumer->setLogLevel(LogLevel::DEBUG); $topic = $consumer->newTopic("my_topic"); // Retrieve log levels $logLevels = [ 'INFO', 'WARN', 'ERROR', 'DEBUG' ]; foreach ($logLevels as $logLevel) { echo "Current log level: " . $logLevel . PHP_EOL; } // Getting lag metrics $metadata = $consumer->getMetadata(false, null, 0); foreach ($metadata->getTopics() as $topicMetadata) { foreach ($topicMetadata->getPartitions() as $partition) { $lag = $partition->getHighOffset() - $partition->getOffset(); echo "Partition: " . $partition->getId() . " Lag: " . $lag . PHP_EOL; } }

Kafka logs metrics monitoring performance troubleshooting message broker

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