[Verse 1]
When clusters need to stay in sync across the wire
Four patterns solve the challenge, each one takes you higher
Topic ownership means one cluster leads the way
Others mirror readonly copies, that's how data stays in play
[Chorus]
Four patterns dancing, active-active flow
Topic ownership, aggregate, and global too
Choose your pattern wisely, based on what you need
Consistency or complexity, plant the proper seed
Kafka keeps us streaming, patterns guide the way
Four solutions working, every single day
[Verse 2]
Aggregate topic pattern splits the writing load
Both clusters write locally, down their separate road
Downstream consumers gather all the scattered streams
Merging different sources into unified dreams
[Chorus]
Four patterns dancing, active-active flow
Topic ownership, aggregate, and global too
Choose your pattern wisely, based on what you need
Consistency or complexity, plant the proper seed
Kafka keeps us streaming, patterns guide the way
Four solutions working, every single day
[Verse 3]
Global topic sharing means both clusters write
Same logical destination, data takes its flight
But duplication happens when the streams collide
Consumers must deduplicate to clean the tide
[Bridge]
When consistency matters most, ownership's your friend
When operations get complex, think about the end
Aggregate for separation, global for the merge
Choose the pattern matching where your needs converge
[Chorus]
Four patterns dancing, active-active flow
Topic ownership, aggregate, and global too
Choose your pattern wisely, based on what you need
Consistency or complexity, plant the proper seed
Kafka keeps us streaming, patterns guide the way
Four solutions working, every single day
[Outro]
Defense infrastructure delivery starts with knowing how
Four Kafka patterns ready, implement them now
Active-active streaming, resilience built to last
Choose your pattern right, and stream data fast