In the age of ever-growing datasets, the ability to scale databases efficiently is a core architectural concern. One of the most powerful techniques for handling large-scale workloads is data sharding – splitting a database into smaller, more manageable parts (shards) that can be distributed across servers. But while sharding can be transformative, it’s also complex, … Continue reading Sharding for Scale