The key points of the text are that MySQL performance on Amazon RDS can be monitored using various metrics, including query throughput and errors, disk I/O operations, CPU utilization, memory usage, storage space, network traffic, and connection metrics. Key metrics include `Questions`, `Queries`, `Reads` (calculated), `Writes` (calculated), `Slow_queries`, `Query_errors`, `DiskQueueDepth`, `FreeStorageSpace`, `NetworkReceiveThroughput`, `NetworkTransmitThroughput`, `DatabaseConnections`, `Threads_connected`, `Threads_running`, `Aborted_connects`, and `Connection_errors_max_connections`. These metrics can be collected using Amazon CloudWatch and MySQL, and are essential for identifying performance bottlenecks and ensuring the optimal operation of the database instance. Monitoring these metrics is crucial to maintaining good application performance, and will help users identify when it is necessary to increase their instance storage, IOPS, or memory.