What approach should you take to optimize resource utilization of a Cloud Run application?

Optimizing resource utilization for a Cloud Run application involves closely monitoring and analyzing CPU and memory usage to ensure that the application runs efficiently without overconsuming resources. Employing Cloud Monitoring serves this purpose effectively. It allows you to track metrics such as CPU and memory utilization in real-time, providing insights into how well your application is operating and whether it's using resources efficiently. By gathering this data, you can make informed decisions about scaling, optimizing configurations, or adjusting your deployment strategy to enhance performance and minimize costs.

While other options contribute to understanding application performance, they do not focus directly on the core aspect of resource utilization. For example, Cloud Trace is excellent for monitoring latency and tracking requests, but it does not provide specific data on resource usage. Implementing Cloud Profiler can help identify which parts of your code are resource-heavy, but it operates more on optimizing code paths rather than directly managing resource utilization at runtime. Creating logs-based metrics can help in certain contexts, but without the integrated experience of Cloud Monitoring, which includes visual dashboards and alerts, it may not provide the same depth of real-time insight necessary for direct resource optimization strategies.