Summary

In this chapter, we conducted an in-depth analysis of database scaling strategies, covering both horizontal and vertical scaling techniques, along with the complexities involved in sharding, resharding, and load balancing. Horizontal scaling, or scaling out, was described as the process of adding more nodes to a database system to distribute the workload more evenly, akin to expanding the infrastructure to accommodate increased demand. Vertical scaling, or scaling up, contrasts this by focusing on enhancing the capabilities of an existing server or node, thereby increasing its workload capacity without adding more machines. The discussion on sharding and resharding emphasized their effectiveness in distributing data across multiple servers to improve performance and manageability. Additionally, the importance of load balancing in evenly distributing workloads across all available nodes to maintain optimal system performance and reliability was highlighted.

Further exploration...