AWS Compute Optimizer identifies and filters Microsoft SQL Server workloads
AWS Compute Optimizer now supports inferred workload type filtering on Amazon EC2 instance recommendations. The inferred workload type feature utilizes Machine Learning and automatically detects the applications that might be running on your AWS resources. By leveraging the inferred workload type filter, customers can easily pinpoint cost-saving opportunities based on the specific workload running on their EC2 instances. In addition, AWS Compute Optimizer now supports Microsoft SQL Server as an inferred workload type.
AWS Compute Optimizer now supports inferred workload type filtering on Amazon EC2 instance recommendations. The inferred workload type feature utilizes Machine Learning and automatically detects the applications that might be running on your AWS resources. By leveraging the inferred workload type filter, customers can easily pinpoint cost-saving opportunities based on the specific workload running on their EC2 instances. In addition, AWS Compute Optimizer now supports Microsoft SQL Server as an inferred workload type.
Starting today, customers can categorize cost-saving opportunities by supported inferred workload types. This means application owners, e.g. SQL Server database administrators can filter EC2 instance rightsizing recommendations that are running Microsoft SQL Server database workloads to find relevant savings opportunities. With the improved workload visibility for recommendations, customers can identify relevant recommendations and take actions. Compute Optimizer also detects Nginx, Memchached, Amazon EMR, Apache Cassandra, Apache Hadoop, PostgresSql, Redis and Kafka workloads.
Customers can filter by inferred workload type for EC2 instance rightsizing recommendations across any account or organization in the following regions: US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo). To learn more about the new feature updates, please visit the AWS Compute Optimizer’s product page and user guide. Get optimal performance and savings recommendations by visiting AWS Compute Optimizer Console.