This IBM Turbonomic Cloud Optimization training course provides coverage on how the IBM Turbonomic platform interacts with the public cloud technologies, such as AWS, Azure, and GCP. You learn about the cost and feasibility of migrating core applications to the cloud for flexibility and scale. You gain an understanding of IBM Turbonomic support for reserved instances, savings plans as well as committed user discounts. This course describes how IBM Turbonomic optimizes compute, storage, and PaaS services in the cloud for performance and efficiency, increasing ROI and lowering your cloud bill by using only what you need.
By attending IBM Turbonomic Cloud Optimization workshop, delegates will learn to:
- Examine how IBM Turbonomic applies the principles of cloud compute scaling to rightsize compute instances to assure performance and maximize savings
- How IBM Turbonomic evaluates Throughput and IOPS demand to optimize cloud storage by scaling between storage tiers, sizing up volumes, modifying IOPS or throughput capacity, and deleting unattached volumes.
- Identify how IBM Turbonomic provides visibility into cloud prepaid capacity and maximizes the utilization of AWS and Azure Reserved Instances, AWS Savings Plans, as well as GCP committed use discounts
- Analyze the impact of IBM Turbonomic cloud optimization by running planning scenarios
- How IBM Turbonomic implements cloud PaaS scaling principles to optimize AWS Database servers and Azure DB instances for performance and cost
- Explore the cost and feasibility of migrating on-premises workloads to the cloud for flexibility and scale
- Automatically power on or off cloud resources according to user-created schedules using parking policies
The IBM Turbonomic Cloud Optimization class is ideal for:
- Consultants, System Administrators, DevOps Engineers, Operators, Cloud Administrators, FinOps