Consistency & Partitioning

Consistency and partitioning are important concepts when designing distributed systems that store data across multiple servers or regions. When data is distributed, systems must decide how to handle synchronization, availability, failures, and network problems. This section covers concepts such as CAP theorem, PACELC, strong consistency, eventual consistency, replication, partitioning, quorum, and distributed data management. You’ll learn why different systems make different trade-offs between consistency, availability, and performance. Understanding these concepts is essential when designing reliable and scalable distributed applications.