An enterprise plans to migrate a compute-intensive workload from its on-premises data center to Google Cloud. From a business perspective, which benefit most directly motivates this decision?
Freedom from all industry compliance requirements because the cloud provider is already certified.
Guarantee that all legacy applications will run unmodified and without new licenses.
Shifting from upfront hardware investments to usage-based operational costs, aligning spending with actual demand.
Complete elimination of any system downtime without additional redundancy planning.
Running compute workloads in Google Cloud lets organizations replace large, upfront hardware purchases with pay-as-you-go billing. This shift from capital expenditure (CapEx) to operational expenditure (OpEx) means the company pays only for the CPU, memory, and storage it actually consumes, improving cash flow and reducing the financial risk of over-provisioning. The other options are not guaranteed or may be inaccurate: cloud platforms help with availability but do not absolutely eliminate downtime; regulatory compliance responsibilities still exist for customers; and some legacy software may require modification or new licensing when moved to the cloud.
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What is the difference between CapEx and OpEx in cloud computing?
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What happens to legacy applications in cloud migration?
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What is meant by CapEx and OpEx in cloud computing?
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Why is pay-as-you-go billing advantageous for compute-intensive workloads?
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How does migrating to the cloud reduce financial risks compared to on-premises solutions?
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