2x rdp server1/30/2024 ![]() ![]() The average number of disk write I/O operations per second The average number of disk read I/O operations per second Workload metrics – ReadIOPS, WriteIOPS, ReadThroughput, WriteThroughput, and database connections.The amount of available random-access memory The amount of available storage space in the binary volume ![]() ![]() The amount of available storage space in the data volume Host metrics – CPUUtilization, FreeableMemory, and FreeStorageSpace for the data and binary volume.This solution enables you to monitor the following metrics from the RDS Custom environment: The following diagram illustrates the solution architecture. Additionally, we give a few examples of metrics-related alarms and demonstrate the setup process for improved monitoring capabilities. In this post, we discuss how to use a CloudWatch dashboard to monitor Amazon RDS Custom for SQL Server, and how to use CloudWatch alarms for proactive monitoring. However, at the time of writing, Amazon RDS Custom for SQL Server doesn’t have managed Amazon CloudWatch monitoring capabilities. Monitoring is an important part of maintaining the reliability, availability, and performance of Amazon RDS Custom for SQL Server. With Amazon RDS Custom for SQL Server, you can enable features that require elevated privileges like SQL Common Language Runtime (CLR), install specific drivers to enable heterogenous linked servers, or have more than 100 databases per instance. It supports applications that have dependencies on specific configurations and third-party applications that require customizations in corporate, e-commerce, and content management systems, such as Microsoft SharePoint. Amazon RDS Custom allows you to access and customize your database server host and operating system, for example, by applying special patches and changing the database software settings to support third-party applications that require privileged access. Amazon RDS Custom for SQL Server is a managed database service for applications that require customization of the underlying operating system and database environment. ![]()
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