From the course: Cloud Architecture: Core Concepts

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Compute level

Compute level

From the course: Cloud Architecture: Core Concepts

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Compute level

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- [Instructor] The trick to creating an effective compute-level architecture for cloud computing architecture is to match the compute needs to a compute platform that can meet those needs. The issue with compute-level architecture is that cloud architects frequently either underpower or overpower the amount of compute needed. This is easy to do with public clouds since you're not actually provisioning hardware, but virtual systems that you'll never physically see. Thus, in many instances, too much compute is used. Therefore, you're paying too much to use resources that are not really needed, or you're not leveraging enough compute and your cloud-based systems hit a wall in terms of bogging down due to not enough CPU and memory horsepower being applied. In addition to the size of compute, you'll find that cloud providers offer tools to allow you to pick the right compute platform size. Furthermore, you can leverage systems such as autoscaling. Cloud providers provide these as a cloud…

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