[Verse 1] One machine was all we had, running code from start to end Single server, single database, on one box we'd depend But users grew from ten to millions, traffic flooding in The monolith began to buckle, cracks appearing thin [Chorus] Split it up, spread it out, that's the distributed way Scale horizontally, share the load, handle more each day CAP theorem's warning us, you can't have all three Consistency, Availability, Partition tolerance - pick carefully [Verse 2] Network calls replace function calls, latency creeps in What once was instant local access now depends on network spin Failures happen everywhere, servers crash and disconnect Partial failures haunt our dreams, what did we expect? [Chorus] Split it up, spread it out, that's the distributed way Scale horizontally, share the load, handle more each day CAP theorem's warning us, you can't have all three Consistency, Availability, Partition tolerance - pick carefully [Bridge] Data lives in many places, keeping it in sync's a fight Eventual consistency means waiting for the truth to be right Race conditions multiply when systems run apart Distributed transactions need a coordinating heart [Verse 3] Monitoring gets complex when components are spread wide Debugging cross-service calls, there's nowhere you can hide But benefits outweigh the pain when scale is what you need Independent deployments help your engineering speed [Chorus] Split it up, spread it out, that's the distributed way Scale horizontally, share the load, handle more each day CAP theorem's warning us, you can't have all three Consistency, Availability, Partition tolerance - pick carefully [Outro] From monolith to microservices, the journey's just begun Embrace the distributed future, though the challenges weigh a ton
← Clean Architecture and Dependency Inversion | CAP Theorem in Practice →