[Verse 1] When systems fail we need a plan To keep our services alive Active-passive means one takes the stand While backup waits to come online Active-standby keeps resources cold Until disaster strikes our door But active-active breaks the mold Both systems serve forevermore [Chorus] Active-active means both sides are live Two times the cost but systems thrive RPO zero, RTO low Consistency trade-offs you should know CAP theorem makes you choose your way Partition tolerance every day Pick consistency or availability That's the active-active way [Verse 2] Recovery Point Objective talks About the data you might lose Recovery Time is how long it walks Before your service is in use Negotiate with stakeholders clear What downtime they can tolerate Minutes, seconds, or the year These numbers seal your system's fate [Chorus] Active-active means both sides are live Two times the cost but systems thrive RPO zero, RTO low Consistency trade-offs you should know CAP theorem makes you choose your way Partition tolerance every day Pick consistency or availability That's the active-active way [Bridge] Don't think it's one-point-five the price Double your infrastructure twice Network splits will test your plan Eventual consistency or strong Choose your model all along Build the system that will span [Verse 3] In practice most apps can survive With eventually consistent state But if you need strict data live Strong consistency seals your fate Active-passive costs much less One primary does all the work Active-active handles stress But complex conflicts often lurk [Chorus] Active-active means both sides are live Two times the cost but systems thrive RPO zero, RTO low Consistency trade-offs you should know CAP theorem makes you choose your way Partition tolerance every day Pick consistency or availability That's the active-active way [Outro] When networks split and systems break Choose the model for your sake Active-active pays the price For resilience that's precise
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