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You have developed a new service on Cloud Run that authenticates via a custom service and writes transactional data to a Cloud Spanner database. To ensure your application can handle up to 5,000 read and 1,000 write transactions per second while identifying potential bottlenecks, you need a test infrastructure capable of autoscaling. What is the recommended approach?
A
Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
B
Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
C
Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring.
D
Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.