This alert monitors and addresses performance issues in Amazon Athena by tracking query execution time. High query latency can indicate inefficient query design, large data scans, or resource contention, which can degrade performance and user experience. The alert is activated when a query execution exceeds a specified latency threshold over a 10-minute monitoring period. Monitoring query latency helps in identifying bottlenecks, optimizing query performance, and ensuring that Athena operates efficiently for data analytics workloads. Customization Guidance: - Threshold: The default threshold is set based on acceptable query latency (e.g., 2 minutes per query). Adjust this value depending on your workload characteristics and performance expectations. - Monitoring Period: The monitoring period can be adjusted to shorter or longer than 10 minutes based on the frequency of queries and the criticality of timely query execution. - Notification Frequency: Adjust notification settings to ensure timely resolution without creating unnecessary alert noise, particularly in environments with frequent queries. Action: Should this alert trigger, review and optimize the query for efficiency by checking data partitioning, filtering conditions, and indexes. Additionally, ensure that the underlying S3 data storage is optimized for faster access.

This alert tracks query failures in Amazon Athena to help identify potential issues with query execution, data availability, or configuration. Frequent query failures can disrupt workflows and indicate underlying problems that need attention. The alert is activated when the number of failed queries exceeds the threshold within a 10-minute monitoring period. Monitoring query failures helps ensure that data pipelines and analytics processes operate smoothly and can proactively address potential disruptions. Customization Guidance: - Threshold: The default threshold is set at 5 failed queries in 10 minutes. Adjust this based on your workload’s tolerance for failure and expected query patterns. - Monitoring Period: You can modify the monitoring period to shorter or longer than 10 minutes, depending on the criticality and frequency of queries. - Notification Frequency: Ensure notifications are set at an optimal level to balance responsiveness and noise, particularly in environments with fluctuating workloads. Action: Should this alert trigger, analyze the failed query logs for errors, check data availability and schema compatibility, and ensure permissions are correctly configured for data sources.

This alert monitors Amazon Athena's service processing time to identify potential delays in query execution caused by system performance bottlenecks or resource contention. High processing time can affect overall query execution speed and degrade user experience. The alert is activated when the average service processing time exceeds the defined threshold during a 10-minute monitoring period. Monitoring service processing time helps to ensure that Athena operates within expected performance levels, enabling timely data insights and efficient query execution. Customization Guidance: - Threshold: The default threshold is set based on acceptable service processing time (e.g., 60 seconds). Adjust this value according to your workload’s tolerance for delays and expected query execution times. - Monitoring Period: You can modify the monitoring period to shorter or longer than 10 minutes based on query frequency and the criticality of your analytics processes. - Notification Frequency: Customize notification settings to ensure actionable alerts without excessive noise, especially in high-query-volume environments. Action: Should this alert trigger, review Athena's query performance metrics and system-level logs to identify bottlenecks. Investigate resource allocation, optimize queries, and ensure the underlying S3 data storage is configured for fast access.

This alert monitors the service pre-processing time in Amazon Athena to detect delays occurring before query execution starts. High pre-processing time can indicate issues with resource allocation, query validation, or initialization delays, which can impact overall query performance. The alert is activated when the average service pre-processing time exceeds the defined threshold during a 10-minute monitoring period. Monitoring pre-processing time helps to identify potential bottlenecks in the query lifecycle and ensures that queries start execution promptly, supporting efficient data analytics workflows. Customization Guidance: - Threshold: The default threshold is set based on acceptable service pre-processing time (e.g., 30 seconds). Adjust this value according to workload characteristics and acceptable delays. - Monitoring Period: The monitoring period can be modified to shorter or longer than 10 minutes depending on the query frequency and operational criticality. - Notification Frequency: Customize notification settings to balance actionable insights with alert noise, particularly in environments with high query volumes. Action: Should this alert trigger, investigate the query queue, check for resource contention, and review any recent changes in workloads or configurations that could be causing delays. Consider optimizing query scheduling and resource allocation.

This alert monitors the average query queue time for queries grouped by WorkGroup in Amazon Athena. High query queue time indicates resource contention or high query volume, which can delay query execution and affect overall system performance. The alert is activated when the average query queue time for a WorkGroup exceeds the defined threshold during a 10-minute monitoring period. Monitoring query queue time by WorkGroup helps to identify workload imbalances, optimize resource allocation, and ensure queries are executed promptly without significant delays. Customization Guidance: - Threshold: The default threshold is set based on acceptable queue time (e.g., 15 seconds). Adjust this value based on expected query volume and WorkGroup-specific requirements. - Monitoring Period: Adjust the monitoring period to shorter or longer than 10 minutes, depending on the workload's dynamics and criticality. - Notification Frequency: Customize the notification frequency to balance timely alerts with operational noise, especially in environments with fluctuating workloads. Action: Should this alert trigger, review the workload distribution and resource allocation for the affected WorkGroup. Consider increasing capacity, optimizing query execution, or redistributing queries across WorkGroups to reduce contention.