IBM Turbonomic Cloud ARM training takes you in-depth into how the Turbonomic ARM platform interacts with the worlds most broadly accepted public cloud technologies, such as AWS, Azure, and GCP.
In this course, you learn how to reap the benefits of state-of-the-art automation of cloud datacenter performance and efficiency management via the Turbonomic platform. The course teaches you about the performance, location, and deployment details of your cloud workloads. You get single pane visibility of your entire cloud estate including scoped views to an account/subscription, a billing family, or a resource group. You learn about Turbonomic support for AWS and Azure Gov Clouds.You analyze your total cloud spend, cost of cloud services, as well as per account/subscription spending. You configure Turbonomic to honor scaling constraints for a unified catalog of cloud instances and consistent vertical resizing for Autoscaling Groups (in AWS) as well as Scale Sets (in Azure). You create policies for compliance, thereby making it safe to automate the scaling actions. You reduce cloud bill by deleting unattached volumes and scaling volumes to use the correct storage tier for your workloads, and configure Turbonomic to choose from the selected cloud storage tiers when scaling. You also learn about the cost and feasibility of migrating core applications to the cloud for flexibility and scale, and how to identify the right size of AWS database servers and Azure databases instances in your cloud environment.
For a list of all Turbonomic upcoming course sessions and contact information, see: https://github.com/turbonomic/training/wiki