Real-Time Streaming Health Check overview

Monitors the health of real-time streaming pipelines across Kafka, Flink, and Spark Streaming deployments — checking consumer lag against acceptable thresholds per topic, verifying checkpoint and offset commit freshness, detecting schema registry compatibility violations before they cause deserialization failures, alerting on partition skew and rebalance storms, validating exactly-once semantics integrity through watermark tracking, and triggering automated remediation for common failure modes (stuck consumers, memory pressure, backpressure cascades). Produces streaming health dashboards, lag trend reports, and incident trigger logs. Excludes pipeline development.