Database scaling : Sharding and Replication | Day 6 | System design interview series | FAANG

How do you handle massive datasets without your database buckling under pressure? In Day 6 of our 30-Day System Design Interview Series, we dive into the two essential pillars of database scalability: Sharding and Replication.
What We Cover:
Sharding (Scale-Out): How to horizontally partition your data across multiple servers to handle massive write/read throughput.
Replication (High Availability): Implementing Master-Slave architectures to ensure your system stays online even if a node fails.
The Trade-offs: Learn exactly when to shard and when to rely on replication to solve your performance bottlenecks.

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