A new service was deployed on a shared host. The log shows recurring memory trouble, and platform monitoring indicates the system is near its capacity. Which option fixes this situation most effectively?
Increase allocated resources or place the workload on a more capable host
Limit overall memory usage across all workloads to a standard setting
Use an older product variant that relies on fewer features
Wait for users to experience more crashes, then add extra capacity
Allocating additional capacity or migrating the service to a suitable host prevents crashes by providing sufficient memory. Reducing available memory globally does not eliminate local stress on the service, and scaling later risks ongoing failures. Deploying a legacy release removes functionality rather than solving the root cause of resource constraints.
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What does 'shared host' mean in a cloud environment?
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How can resource allocation prevent service crashes?
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Why is migrating to a 'more capable host' beneficial in this situation?