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Referring to the TerramEarth case study, the company manufactures heavy equipment for mining and agricultural industries. They have over 500 dealers and service centers across 100 countries. There are over 2 million vehicles in operation, collecting and transmitting critical telemetry data in real-time. You have broken down a legacy monolithic application used for fleet management into several containerized RESTful microservices and plan to run them on Cloud Run. Your goal is to ensure these services are highly available and have low latency for your global customers. What should you do?
A
Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTTP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.
B
Deploy Cloud Run services to multiple regions. Create serverless network endpoint groups pointing to the services. Add the serverless NEGs to a backend service that is used by a global HTTP(S) Load Balancing instance.
C
Deploy Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.
D
Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.