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As a DevOps Engineer optimizing an API service on Google Cloud Platform's Cloud Run, which strategy ensures optimal performance during demand spikes while following Site Reliability Engineering (SRE) principles?
A
Migrate the service to a Compute Engine instance with the maximum available resources, without considering autoscaling.
B
Increase the allocated resources (CPU and memory) for each instance without analyzing the service‘s actual resource requirements.
C
Disable container instance logging and monitoring to reduce resource consumption.
D
Configure autoscaling for the Cloud Run service based on concurrency, and set up monitoring and alerting using Cloud Operations.
