[Verse 1]
In Kubernetes land where Kafka flows
There's a custom resource that everyone knows
KafkaConnector CRD makes the magic real
Declarative management with mass appeal
No more REST calls or manual commands
Just YAML specs that the cluster understands
[Chorus]
Connectors flow, declare don't call
Source brings in, sink takes it all
Tasks and scaling, config so clean
Dead letter queues for errors unseen
CRD way, the modern day
Managing streams the Strimzi way
[Verse 2]
Source connectors pull from external stores
Database changes through your Kafka doors
Sink connectors push data out the gate
To warehouses where analytics await
Each connector spawns tasks to do the work
Parallel processing, no need to lurk
[Chorus]
Connectors flow, declare don't call
Source brings in, sink takes it all
Tasks and scaling, config so clean
Dead letter queues for errors unseen
CRD way, the modern day
Managing streams the Strimzi way
[Bridge]
When errors strike don't let them break
Error tolerance for goodness sake
Dead letter topics catch what's wrong
Keep your pipeline running strong
Scale your tasks both up and down
Best connector management around
[Verse 3]
Configuration lives in spec so neat
Class and config make it complete
Pause and resume with a simple change
No downtime required to rearrange
Status shows you what's happening now
Health and state, the operator's vow
[Chorus]
Connectors flow, declare don't call
Source brings in, sink takes it all
Tasks and scaling, config so clean
Dead letter queues for errors unseen
CRD way, the modern day
Managing streams the Strimzi way
[Outro]
KafkaConnector CRD
Declarative connectivity
Source and sink, tasks that scale
Error handling never fails
Strimzi makes connectors shine
Kubernetes native by design