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How should you configure load testing for a set of REST API endpoints deployed on Cloud Run that respond to HTTP POST requests, while meeting the following requirements: initiating load from multiple parallel threads, generating user traffic from multiple source IP addresses, and enabling scalability with additional test instances, following Google-recommended best practices?
A
Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in a managed instance group, and run one instance of the image for each VM.
B
Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.
C
Deploy a distributed load testing framework on a private Google Kubernetes Engine cluster. Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.
D
Download the container image of a distributed load testing framework on Cloud Shell. Sequentially start several instances of the container on Cloud Shell to increase the load on the API.