[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