Replication & Sharding

Understand data replication strategies (master-slave, master-master) and horizontal partitioning (sharding) for scalability.

Replication & Sharding

Understand data replication strategies and horizontal partitioning

master slave

Active

One master, multiple read replicas

master master

Multiple masters, bidirectional sync

sharding

Horizontal partitioning by key range

Cluster Topology

Metrics

Total Data Items0

Avg Write Latency80ms

Throughput0 ops/s

Consistency Model

Consistency

Strong

Read scaling via replicas

Single point of failure (master)

System Design Insight

Master-Slave replication provides read scaling and backup, but the master is a single point of failure.Master-Master replication eliminates single points of failure but requires conflict resolution.Sharding partitions data across multiple nodes for horizontal scaling, but cross-shard queries become complex. Choose based on your read/write ratio, consistency requirements, and scalability needs.

Detailed explanation about Replication & Sharding goes here. This section would explain the algorithms, trade-offs, and real-world use cases.