This approach is ideal when you need to boost the performance of an application without altering the existing architecture. Vertical scaling is often simpler to implement than horizontal scaling, as it does not require adding or managing multiple servers. However, it has limitations based on the maximum capacity of the hardware.
What Are the Use Cases for Vertical Scaling?
- When a database requires more processing power or memory to handle larger datasets or more complex queries, vertical scaling can provide the necessary boost.
- Vertical scaling is often used to upgrade VMs with more resources as demand grows, allowing them to handle more intensive tasks.
- Applications that run on a single server and cannot be easily distributed across multiple nodes are ideal candidates for vertical scaling.
- Older systems that are not designed for horizontal scaling may need to scale vertically to meet increased demand.
ProsperTip
Vertical scaling is a quick way to enhance performance, but it’s important to monitor resource limits closely. Once you hit the maximum capacity of your server, consider combining vertical scaling with horizontal scaling strategies for long-term scalability.
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