Benefits of Database Sharding
Sharding is especially beneficial for large-scale applications that are too big or too demanding for a single database server to handle. By spreading data across multiple servers, sharding helps with:
- Scalability: The Sharding allows horizontal database growth by dividing data among several servers.
- Performance: The Queries execute faster since each database has fewer resources to manage when data is distributed across shards.
- Availability: System availability increases because even if one shard fails, the others continue to function.
- Manageability: Optimizing and managing smaller databases is simpler.
Database Sharding Pattern for Scaling Microservices Database Architecture
Database sharding is an architectural technique that divides a large database into smaller and more manageable sections called shards. Each shard operates as an independent database that stores a subset of the overall data. Traditional monolithic database designs face many challenges to keep up with rapidly growing data volumes and the demands for high availability and speed. By distributing data across multiple databases or shards, database sharding can help overcome these limitations.
In this article, we will discuss about Database Sharding Pattern for Scaling Microservices Database Architecture in detail.