[Verse 1] Meet Sarah running Netflix servers worldwide She's got a problem keeping data synchronized When Tokyo updates what London needs to see The network splits and chaos runs free She learned about the CAP theorem's rule Consistency, Availability, Partition tolerance tool You can only pick two when the network fails That's the story every system admin tells [Chorus] Distributed systems, they're everywhere we go From social media to the banking apps we know CAP theorem teaches us we gotta choose our way Consistency or Availability when partitions come to play Sharding splits the load across machines Replication keeps our data clean Eventual consistency will sync it all in time In this distributed world of mine [Verse 2] Sarah chose availability for her streaming site Better to show old ratings than go dark at night Meanwhile, her friend at the bank went the other way Consistency matters when handling your pay Now she's got millions of users to serve Sharding by region helps preserve Performance when the traffic starts to grow Horizontal scaling is the way to go [Chorus] Distributed systems, they're everywhere we go From social media to the banking apps we know CAP theorem teaches us we gotta choose our way Consistency or Availability when partitions come to play Sharding splits the load across machines Replication keeps our data clean Eventual consistency will sync it all in time In this distributed world of mine [Bridge] Master-slave replication keeps the backup ready Multi-master lets you write when networks ain't steady Range-based sharding splits by alphabetical keys Hash-based sharding spreads the load with such ease Directory sharding maps each piece to its place Consistent hashing keeps migrations at a steady pace [Verse 3] Eventually consistent means the data will align Give it time and all the nodes will be in line Amazon's shopping cart can handle split-brain state Add items from both coasts, they'll merge and calculate Vector clocks help order events across the fleet Making sure updates don't conflict or compete [Chorus] Distributed systems, they're everywhere we go From social media to the banking apps we know CAP theorem teaches us we gotta choose our way Consistency or Availability when partitions come to play Sharding splits the load across machines Replication keeps our data clean Eventual consistency will sync it all in time In this distributed world of mine [Outro] Sarah's learned the trade-offs in this distributed game No perfect solution but the principles remain Choose your guarantees and design for the scale In distributed systems, you're destined to prevail
← Caching Strategies - LRU, write-through vs. write-back, cache invalidation patte