A systems administrator is asked to implement a new three-host cluster. The cloud architect specifies this should be a testing environment, and the budget is limited. The estimated resource consumption for each application is as follows:
A.
• Three public cloud hosts with four cores • 120GB of RAM • 100GB of storage • 1Gbps
B.
• Three public cloud hosts with six cores • 80GB of RAM • 180GB of storage • 150Mbps
C.
• Three public cloud hosts with six cores • 80GB of RAM • 1TB of storage • 200Mbps
D.
• Four public cloud hosts with four cores • 140GB of RAM • 200GB of storage
Three public cloud hosts with six cores, 80GB of RAM, 180GB of storage, and 150Mbps of bandwidth.
Here's the reasoning:
Resource Matching: Option B provides the most balanced allocation of resources, with enough CPU cores, RAM, storage, and bandwidth to accommodate the requirements of all three applications. It ensures that none of the applications will face resource shortages during testing.
Cost-Efficiency: Option B offers a cost-effective balance between resource allocation and budget constraints. It provides sufficient resources for testing without overprovisioning, which could be more expensive.
Bandwidth: While Application 3 requires 100 Mbps of bandwidth, the provided 150 Mbps in Option B is adequate for its needs and provides some extra bandwidth for other network activities.
Storage: Option B offers ample storage capacity for the applications and any testing data without going overboard.
Option C provides excessive storage (1TB) for a testing environment, which may not be cost-efficient. Option D provides more resources than necessary, which could result in higher costs without substantial benefits for a testing environment.
Therefore, Option B strikes a good balance between resource provisioning and cost-effectiveness, making it the best choice for a testing environment with a limited budget.
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