AWS Service: Amazon Aurora
Question: Monitoring and logging capabilities of Amazon Aurora
Answer:
Amazon Aurora provides several monitoring and logging capabilities to help you troubleshoot issues and optimize performance:
Amazon CloudWatch Metrics: Aurora provides a set of CloudWatch metrics that you can use to monitor the performance of your Aurora DB cluster. These metrics include CPU usage, disk usage, network throughput, and more. You can set up alarms based on these metrics to alert you when certain thresholds are exceeded.
Performance Insights: Aurora Performance Insights is a feature that provides an easy-to-understand dashboard that helps you analyze the performance of your Aurora DB cluster. You can use Performance Insights to identify the top SQL statements that are consuming resources, and drill down to the root cause of performance issues.
Database Log Files: Aurora provides access to the database log files that contain information about database activity. You can use these log files to troubleshoot issues, diagnose errors, and optimize performance. Aurora supports both the PostgreSQL-style log format and the MySQL-style log format.
Query Profiling: Aurora supports query profiling, which allows you to capture detailed information about the SQL statements that are executed against your database. This information can be used to optimize SQL statements and improve performance.
Aurora Global Database Monitoring: Aurora Global Database Monitoring provides a centralized view of the performance and health of your Aurora global databases across multiple regions. This feature helps you to monitor replication lag and database health across regions.
By leveraging these monitoring and logging capabilities, you can gain greater visibility into the performance of your Aurora DB cluster, identify and troubleshoot issues, and optimize performance.
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