How does Google Compute Engine handle sudden spikes in traffic with autoscaling?
- Google Compute Engine utilizes proactive and reactive scaling mechanisms to handle sudden spikes in traffic. Proactive scaling involves forecasting demand based on historical data and scaling resources preemptively, while reactive scaling responds dynamically to immediate changes in workload by adjusting resources in real-time.
- Google Compute Engine relies on manual intervention to handle sudden spikes in traffic, allowing administrators to manually adjust resource allocation as needed.
- Google Compute Engine scales resources linearly in response to traffic spikes, adding or removing instances in proportion to the increase or decrease in demand.
- Google Compute Engine temporarily throttles incoming traffic during sudden spikes to prevent overload on backend services, ensuring stability and preventing service degradation.
Understanding how Google Compute Engine handles sudden spikes in traffic with autoscaling mechanisms is essential for maintaining application performance and availability in dynamic environments with fluctuating workloads.
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