[Verse 1]
Start with Prometheus Operator installed and ready to deploy
Grafana waiting in the wings for dashboards we'll employ
The observability stack needs building from the ground
Full metrics and alerts where insights can be found
[Chorus]
Deploy, enable, import, trigger - that's the way we go
Prometheus grabs the metrics, Grafana makes them flow
Consumer lag alerts will tell us when things slow
Full observability stack - now watch your Kafka glow
[Verse 2]
Configure Strimzi cluster with metrics turned on bright
JMX exporter settings bring the data to light
Enable kafka metrics true and zookeeper the same
Consumer group lag tracking is the monitoring game
[Chorus]
Deploy, enable, import, trigger - that's the way we go
Prometheus grabs the metrics, Grafana makes them flow
Consumer lag alerts will tell us when things slow
Full observability stack - now watch your Kafka glow
[Bridge]
Import Strimzi dashboards into Grafana's embrace
Charts and graphs displaying cluster health and pace
Create consumer lag alert rules to watch the queue
Set thresholds that make sense for what you're trying to do
[Verse 3]
Now pause a consumer group to test the alert chain
Watch the lag build up as messages remain
The alert should fire when the threshold's been crossed
Observability saves the day when messages get lost
[Chorus]
Deploy, enable, import, trigger - that's the way we go
Prometheus grabs the metrics, Grafana makes them flow
Consumer lag alerts will tell us when things slow
Full observability stack - now watch your Kafka glow
[Outro]
From operator setup to alerts that really work
Full stack observability handles every quirk
Strimzi metrics flowing through the monitoring chain
Your Kafka cluster's health is crystal clear again