As a Cloud Engineer aiming to manage CPU and memory resources efficiently in a Kubernetes cluster, what should you configure to receive notifications if CPU usage exceeds 80% for 5 minutes or memory usage goes over 90% for 1 minute?
- Set up a complex alerting rule in a custom monitoring agent.
- Establish a Cloud Pub/Sub topic with a Cloud Scheduler job for alerts.
- Implement a custom logging pipeline to monitor resource usage.
- Formulate an alerting policy with specific conditions for CPU and memory usage thresholds.
Explanation:
The most straightforward and effective approach for managing resource usage notifications in a Kubernetes cluster is to formulate an alerting policy that specifies conditions based on CPU and memory usage thresholds. This strategy is widely recognized as a standard practice in Cloud Monitoring. It enables precise and prompt notifications when resource usage exceeds predefined limits, thereby facilitating proactive management of the cluster’s performance. The creation of an alerting policy is a direct, standardized method that avoids the complexities and inefficiencies associated with setting up custom monitoring agents, Cloud Pub/Sub topics with Cloud Scheduler jobs, or custom logging pipelines. These alternative methods are generally more complex and less efficient for the specific task of monitoring and alerting based on CPU and memory utilization thresholds.