Optimizing Workload Performance and Cost with IBM Turbonomic on AWS
IBM and Red Hat Blog
This article discusses how IBM Turbonomic, an AI-driven Application Resource Management (ARM) solution, can help optimize workload performance and costs on AWS and hybrid cloud environments.
Specifically, the article covers:
- IBM Turbonomic architecture and how it integrates with AWS services like Amazon CloudWatch, AWS Cost Explorer, Amazon EKS, and Amazon RDS
- Key concepts of Turbonomic, including supply chain modeling, actions, policies, and targets
- How Turbonomic optimizes AWS resources like Amazon EC2, Amazon EBS, Amazon RDS, and Amazon EKS clusters
- Using Turbonomic to plan and migrate on-premises workloads to AWS
- Additional resources and links for learning more about IBM Turbonomic on AWS
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