Why Use Horizontal Scaling?
- Increased Capacity: Distributes data and load across multiple servers, preventing any single server from becoming a bottleneck.
- High Availability: Improves fault tolerance by ensuring that data is replicated across multiple servers.
- Performance Improvement: Enhances read and write performance by balancing the load across multiple shards.
- Cost Efficiency: Enables the use of commodity hardware to handle large datasets and high traffic.
How to Perform Horizontal Scaling in MongoDB?
Horizontal scaling, also known as scaling out, involves adding more servers to a database system to handle increased load. In the context of MongoDB, horizontal scaling is implemented through a process called sharding. This article will delve into the details of horizontal scaling in MongoDB, discussing what it is, how it works, and the steps to set it up.
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