Exam Professional Cloud DevOps Engineer topic 1 question 109 discussion

Cloud Run integrates automatically with Cloud Monitoring and requires no setup or configuration. https://cloud.google.com/run/docs/monitoring?hl=ja

Suits best for the question.

Option C is the most appropriate choice as it directly addresses the need to monitor container CPU and memory utilization in Cloud Run. This will help you gather the necessary data for cost optimization effectively. Cloud Profiler more suited for debugging performance bottlenecks and less for high-level resource utilization monitoring across Cloud Run instances.

No Op Agents for Cloud run

For identifying the resource utilization of a serverless application deployed on Cloud Run for cost optimization, the recommended approach is to use Cloud Monitoring, as indicated by (Option C). Cloud Monitoring provides comprehensive monitoring capabilities, allowing you to track container CPU and memory utilization effectively. Specifically tailored for containerized environments like Cloud Run, Cloud Monitoring provides insights into key metrics, enabling you to analyze resource consumption, identify potential bottlenecks, and optimize costs based on observed utilization patterns. By monitoring container CPU and memory metrics, you gain valuable data for making informed decisions about resource allocation, ensuring efficient usage, and ultimately optimizing the cost of running the serverless application in your production environment.

As per documentation cloud profiler not supported for cloud run environment https://cloud.google.com/profiler/docs/about-profiler will go with C

I would say B. If you deploy with cloud run you would deploy a container and the only way of improving the cost of the solution would be by looking at the app with cloud profiler. If you just look at cloud monitoring, how would you know what part of your app is the issue?

Cloud Profiler provides continuous profiling of resource consumption in your production applications, helping you identify and eliminate potential performance issues. https://cloud.google.com/products/operations#all-features section:Performance and cost management

Answer should be C.

Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the application's source code, helping you identify the parts of the application consuming the most resources, and otherwise illuminating the performance characteristics of the code.