Scale-up and Scale-out are the main ways to add capacity to your infrastructure
For this Discussion Board, please complete the following:
Worldwide data is expected to grow 61% to 175 zettabytes by 2025 (Seagate, 2020).
To be ready for a digital future, consider the scaling strategy of data infrastructure.
Scale-up and Scale-out are the main ways to add capacity to your infrastructure. While both solutions perform the same function and the end-user perspective, they solve different capacity issues and needs of the system’s infrastructure.
When running massive data centers, you may face the need to increase your machine’s capacity to run larger workloads. In this case, apply vertical scaling or scale-up. (Julien, 2019)
Scale-up is a simple method of increasing your computing capacity. This is done by adding additional resources such as a central processing unit (CPU) and dynamic random-access memory (DRAM) to on-premises servers. It also improves the performance of your disk by changing it to a faster one.
Scale-out is another way to add capacity to your architecture. Instead of buying one powerful machine, you are adding simple servers that run a distributed computing model.
Consider ABC company that you are employed as member of the IT Cloud Engineering team. You are providing contracted support to a company that has had considerable success over the past 2 years. The company wants to expand globally and provide greater service to customers. The budget is limited for now, so the company cannot scale up AND scale out. They can only do one or the other.
Why would you recommend that the company to scale-up (improve the company’s computers)?
Why would you recommend that the company scale-out (add or replace existing servers with more powerful ones)?
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