Geographical data distribution and load balancing play a crucial role in the efficient operation of backend systems. Here’s a detailed explanation of how these concepts are handled:
Geographical data distribution refers to the practice of storing data across multiple geographical locations. This has several benefits:
To achieve geographical data distribution, one common technique is data replication. In this approach, data is copied and synchronized across different geographical regions. Any changes made in one region are propagated to the others. Replication can be synchronous or asynchronous, depending on the consistency requirements and network conditions.
Load balancing is the process of distributing incoming network traffic across multiple backend servers to prevent overloading. It helps in achieving better performance, scalability, and fault tolerance. Here are some key aspects of load balancing:
Additionally, content delivery networks (CDNs) can be used to further enhance performance. CDNs cache and deliver static content from edge locations closer to the end-users, reducing latency and offloading traffic from backend servers.
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