You need to deploy a new service to production.
The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions.
The service needs a large number of resources for each instance and you need to plan for capacity.
What should you do?
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A. B. C. D. E.D.
To deploy a new service to production that needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions, there are several steps that you need to follow.
First, you need to choose an appropriate machine type in the configuration of the MI that can handle the large number of resources required by each instance. Option A recommends using the n1-highcpu-96 machine type, which is a high CPU machine type with 96 virtual CPUs and 624 GB of memory. This machine type can handle high CPU workloads such as data processing, machine learning, and scientific computing, and is suitable for workloads that require a large amount of memory.
Second, you need to ensure that the resource requirements of the service are within the available quota limits of each region. Option D recommends validating this requirement, which is important to ensure that the service can be deployed in each region without any issues. It's essential to ensure that you have sufficient resources available to meet the demand of the service in each region.
Third, you need to monitor the results of Stackdriver Trace to determine the required amount of resources. Option C recommends monitoring the performance of the service using Stackdriver Trace, which provides insights into the latency and performance of the service. This information can be used to determine if the service needs more or fewer resources to maintain the desired level of performance.
Finally, you can deploy the service in one region and use a global load balancer to route traffic to this region. Option E recommends using a global load balancer, which can distribute traffic across multiple regions based on proximity, latency, or other criteria. This approach can help improve the performance of the service by reducing latency and ensuring that traffic is directed to the nearest available region.
In summary, to deploy a new service to production that needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions, you need to choose an appropriate machine type, validate the resource requirements, monitor the performance of the service, and use a global load balancer to route traffic to the service.