The Hidden Problem with Kafka Lag Monitoring
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Offset lag (message count) is the standard Kafka consumer monitoring metric, but it fails to indicate actual delay severity. A 50,000 message lag could represent 10 seconds or 10 hours depending on throughput. Time lag (seconds behind) is the metric that matters for SLAs, but most tools don't calculate it accurately.
Table of contents
The offset lag illusionWhy time lag is hard to get rightThe right way: Direct timestamp samplingThe metrics you actually needIntroducing klag-exporterQuick start with DockerConfiguration deep diveKubernetes deploymentGrafana dashboardMulti-cluster setupOpenTelemetry integrationTroubleshootingWhat you should have nowKey takeawaysSort: