Your company performs large video rendering jobs that can be interrupted and restarted. The jobs run for a few hours each night, and leadership wants to minimize compute spending after migrating to Google Cloud while avoiding major application changes. Which Google Cloud compute option best meets these cost optimization requirements?
Rewrite the rendering logic as event-driven functions executed by Cloud Functions.
Use standard Compute Engine virtual machines and rely on sustained-use discounts.
Run the workload on preemptible virtual machines in Compute Engine.
Deploy the application to App Engine standard environment to scale automatically.
Preemptible virtual machine instances in Compute Engine cost up to 80% less than regular instances because Google can reclaim the capacity at any time. They are ideal for short-lived, fault-tolerant batch workloads such as video rendering that can tolerate interruption and simply restart. Regular VMs with sustained-use discounts still charge for the full runtime and are most cost-effective for long-running tasks. Cloud Functions and App Engine standard provide fully managed execution environments but require significant refactoring and are not designed for prolonged, CPU-intensive rendering jobs, making them less suitable in this scenario.
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How do sustained-use discounts work in Google Cloud and why are they not ideal for batch workloads?
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Why are Cloud Functions and App Engine not suitable for CPU-intensive rendering jobs?
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What are preemptible virtual machines in Google Cloud?
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What is sustained-use discount on Compute Engine VMs?
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Why are Cloud Functions or App Engine standard environment not suitable for video rendering workloads?
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