This alert triggers when the CPU utilization of a Google App Engine system exceeds 85%. High CPU utilization can indicate that the system is under heavy load, which might impact application performance and lead to slower processing times. Customization Guidance: Threshold: 85% is chosen as a high utilization point, allowing for some buffer before reaching full capacity. Adjust this based on the typical load and performance of your application. Module Specificity: Monitor CPU utilization in key modules where performance is critical. Notification Frequency: Set alerts to trigger immediately upon reaching the threshold to prevent potential overloads. Action: Analyze the workload and optimize code or scaling configurations to reduce CPU usage and maintain performance.

This alert triggers when the HTTP server response latency for Google App Engine exceeds 3000 milliseconds (3 seconds). High latency can indicate performance issues, leading to slow response times for users and potential timeouts. Customization Guidance: Threshold: 3000 ms is set as a reasonable threshold to detect significant delays in response times. Adjust based on your application's performance requirements. Module Specificity: Focus on critical modules where response time is crucial for user experience. Notification Frequency: Set alerts to trigger quickly upon exceeding the threshold to address performance issues promptly. Action: Investigate the cause of high latency, such as increased traffic, resource constraints, or inefficient code, and optimize to improve response times.