This alert is designed to ensure the optimal performance and reliability of your Google AlloyDB instances by monitoring CPU usage across the database infrastructure. The alert is triggered when CPU utilization in any instance exceeds 80% over a continuous 10-minute period. High CPU usage can indicate performance bottlenecks, inefficient queries, or insufficient resources, which may degrade the overall responsiveness and availability of your database. Proactively monitoring CPU utilization is crucial for maintaining the health of AlloyDB and ensuring smooth database operations, especially during peak load periods. Customization Guidance: Threshold: The default threshold is set at 80% CPU utilization. Depending on the workload characteristics and resource provisioning, you may want to adjust this threshold. For example, in performance-sensitive environments, consider a more stringent threshold (e.g., 70%), while more lenient thresholds may be acceptable in less critical systems. Monitoring Period: The default monitoring period is set at 10 minutes, allowing you to catch sustained spikes in CPU usage. You can adjust the monitoring window to capture shorter spikes or assess longer-term trends, depending on your database's traffic patterns and operational requirements. Instance Specificity: Customize the alert to focus on critical AlloyDB instances that require close monitoring, especially those that handle mission-critical applications or high-traffic databases. By focusing on specific instances, you can optimize resource allocation and mitigate performance risks more effectively. Notification Frequency: Fine-tune the frequency of this alert based on your operational needs. More frequent notifications may be necessary for highly sensitive instances, while less frequent notifications might be sufficient for non-critical workloads. Action: Upon triggering this alert, investigate the root causes of high CPU usage. Common areas to check include inefficient queries, insufficient indexing, or traffic surges. Consider scaling resources, optimizing queries, or redistributing the load across instances. If the issue persists, engage with Google Cloud Support to diagnose potential infrastructure-related bottlenecks or resource constraints.

This alert is designed to ensure the stability and performance of your Google AlloyDB instances by monitoring available memory. The alert is triggered when the available memory in any instance drops below 200 MB over 10% of 10-minute period. Low available memory can lead to performance degradation, slow queries, or even database crashes, as the system may start swapping to disk, which significantly impacts response times. Monitoring available memory is critical for ensuring that your AlloyDB instances have enough resources to handle current and future workloads efficiently. Customization Guidance: Threshold: The default threshold is set at 200 MB of available memory. Depending on the size of your instance and workload requirements, you may want to adjust this threshold. For resource-intensive applications, a higher threshold might be more appropriate to ensure ample memory for operations, while smaller instances may operate with less memory. Monitoring Period: The default monitoring period is 10 minutes, which helps catch sustained low-memory conditions. You can adjust this period based on your operational needs, such as reducing it to catch more immediate memory spikes or extending it to capture long-term trends. Instance Specificity: Focus this alert on critical instances where memory constraints could severely impact performance or availability. By targeting specific AlloyDB instances, particularly those serving high-traffic or resource-intensive applications, you can proactively manage memory resources and avoid potential service interruptions. Notification Frequency: Adjust the notification frequency to balance responsiveness with noise. For mission-critical instances, you may want more frequent alerts to quickly address memory issues, while less frequent alerts may be sufficient for non-essential workloads. Action: Upon triggering this alert, investigate the cause of low memory availability. Check for memory-intensive queries, inefficient caching, or background processes consuming excessive memory. If necessary, consider upgrading the instance size, optimizing queries, or offloading workloads to other instances. If memory issues persist, consult with Google Cloud Support to explore potential resource management or infrastructure improvements.

This alert is designed to ensure the reliable performance and capacity of your Google AlloyDB instances by monitoring disk memory utilization. The alert is triggered when disk memory usage exceeds 80% for at least 10% of a 10-minute period. Low available disk memory can lead to service disruptions, slow data writes, and even prevent new data from being stored. Monitoring disk usage is crucial for maintaining database performance and preventing critical operations from failing due to insufficient storage. Customization Guidance: Threshold: The default threshold is set to trigger when disk usage exceeds 80% of total capacity. Depending on your specific use case and disk size, you may want to adjust this threshold. For large-scale or high-growth applications, consider setting a lower threshold to ensure proactive scaling and prevent reaching critical limits. Monitoring Period: The monitoring period is set for 10 minutes, and the alert triggers if the threshold is breached for at least 10% of that time (i.e., 1 minute). Adjust this window based on the frequency and intensity of your storage use. A shorter period may help capture more immediate issues, while a longer period can help analyze longer-term trends. Instance Specificity: Target this alert to specific instances with high disk I/O or heavy data processing workloads, as these are more likely to face disk capacity issues. Focusing on critical AlloyDB instances will help ensure that key services are not interrupted due to storage constraints. Notification Frequency: Tune the notification frequency to avoid excessive alerts while maintaining responsiveness. For high-growth or mission-critical environments, consider more frequent notifications to promptly address disk capacity issues, while for less critical instances, less frequent alerts might suffice. Action: Upon triggering this alert, assess disk usage trends and check for factors contributing to high disk usage, such as large database logs, data retention policies, or inefficient queries. Consider freeing up disk space, increasing disk capacity, or distributing workloads across multiple instances. If the issue persists, consult with Google Cloud Support to evaluate your disk storage options and resource scaling strategies.

This alert is designed to ensure the optimal performance of your Google AlloyDB instances by monitoring query latency. The alert is triggered when the overall query latency exceeds 500 milliseconds over a continuous 10-minute period. High latency can indicate performance bottlenecks, inefficient queries, or resource constraints within your AlloyDB instances. Monitoring latency is critical for maintaining a responsive database and ensuring that user queries and transactions are processed in a timely manner. Customization Guidance: Threshold: The default threshold is set at 500ms for query latency. Depending on your application’s performance requirements and user experience expectations, you can adjust this threshold. For latency-sensitive applications, consider lowering the threshold, while for less time-critical operations, a more lenient value may be appropriate. Monitoring Period: The default monitoring period is 10 minutes, providing insight into sustained performance degradation. You can adjust this window based on your operational needs, shortening it to capture more immediate performance issues or extending it to analyze longer-term performance trends. Instance Specificity: Customize this alert to focus on instances serving high-traffic or latency-sensitive applications where query performance is crucial. By targeting specific instances, you can ensure that key workloads maintain their expected performance levels, preventing potential service disruptions or user dissatisfaction. Notification Frequency: Adjust the frequency of notifications to strike a balance between responsiveness and alert fatigue. For critical instances, more frequent notifications may be necessary to quickly address latency issues, while less frequent alerts may suffice for non-essential workloads. Action: Upon triggering this alert, investigate the cause of the high latency. Common areas to review include inefficient queries, large or complex transactions, insufficient indexing, or resource bottlenecks like CPU or memory usage. Optimizing query performance, scaling instance resources, or offloading traffic to other instances may be required. If latency issues persist, collaborate with Google Cloud Support to explore further performance tuning or infrastructure adjustments.

This alert is designed to ensure the efficient operation of your Google AlloyDB instances by monitoring the number of active database connections. The alert is triggered when the number of database connections exceeds 80% of the configured connection limit for a continuous 10-minute period. High connection counts can strain resources and lead to performance degradation, including query delays and potential connection failures. Monitoring database connections is critical to ensure that your database can handle incoming traffic efficiently without exhausting resources. Customization Guidance: Threshold: The default threshold is set to trigger when the connection count exceeds 80% of the database's connection limit. Depending on your instance size and workload, you may want to adjust this threshold. For mission-critical applications with high connection concurrency, consider using a lower threshold to avoid connection saturation. Monitoring Period: The default monitoring period is set at 10 minutes to detect sustained periods of high connection usage. Depending on the traffic patterns of your application, you may shorten this period for quicker detection or extend it to analyze longer-term trends in connection usage. Instance Specificity: Focus this alert on instances that handle high transaction volumes or are critical to your operations. Identifying and monitoring connection counts in these instances will help prevent potential service interruptions due to resource exhaustion and connection saturation. Notification Frequency: Adjust the frequency of notifications to prevent alert fatigue while maintaining responsiveness. For critical workloads, more frequent alerts will help you address connection issues before they impact performance, while less frequent alerts may be appropriate for non-essential instances. Action: Upon triggering this alert, investigate the cause of the high connection count. Review application behavior, connection pooling settings, and whether the database is experiencing connection leaks or inefficient handling of database sessions. Consider scaling the instance, increasing the connection limit, or optimizing application connection management. If the issue persists, engage with Google Cloud Support to evaluate your connection handling and capacity scaling strategies.