[Verse 1] Deploy your streams beside the Strimzi cluster running State stores need persistence when the data keeps on coming Mount those volumes carefully, let Kubernetes manage Stateful sets for storage, keep your data from damage [Chorus] Stream, store, scale and query Deploy, persist, interact, worry-free Kafka Streams on K8s dancing State management advancing Stream, store, scale and query That's the Strimzi mastery [Verse 2] Interactive queries let you peek inside the state HTTP endpoints serving data that your streams create Read-only views of local stores, no need to duplicate Query your topology live while processing doesn't wait [Chorus] Stream, store, scale and query Deploy, persist, interact, worry-free Kafka Streams on K8s dancing State management advancing Stream, store, scale and query That's the Strimzi mastery [Bridge] Scale out horizontally, partition key determines Which instance holds your data as the workload churns Standby replicas ready when your primary node fails Kubernetes orchestration keeps your streaming on the rails [Verse 3] Application instances spread across the cluster wide Each one owns specific partitions, state stores reside When you need to find the data, route to proper host Metadata tells you exactly which pod matters most [Chorus] Stream, store, scale and query Deploy, persist, interact, worry-free Kafka Streams on K8s dancing State management advancing Stream, store, scale and query That's the Strimzi mastery [Outro] Streams and storage unified Kubernetes by your side Strimzi makes it simplified Real-time processing pride
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