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Turbonomic: Cloud Optimization
With IBM Turbonomic, your cloud investments are smarter, automation is easier, and you can finally realize the promise of agility, elasticity, and speed to market. It is an ideal solution for...
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$2,685 USD
Duration
3 days
Course Code
TN910G
Available Formats
Classroom, Virtual
This course is available in other formats.
Self-Paced
Self-Paced
Overview
With IBM Turbonomic, your cloud investments are smarter, automation is easier, and you can finally realize the promise of agility, elasticity, and speed to market. It is an ideal solution for organizations adopting FinOps! This course takes you in-depth into how the IBM Turbonomic platform interacts with the world's most broadly accepted 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 use 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. This course aligns with Turbonomic version 8.16.x
Skills Gained
After completing this course, you should be able to:
- Examine how IBM Turbonomic applies the principles of cloud compute scaling to rightsize compute instances to assure performance and maximize savings
- Learn 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
- Learn 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
Who Can Benefit
Consultants, System Administrators, DevOps, Operators, Cloud Administrators, FinOps
Prerequisites
null
Course Details
Units:
- Unit 1: Automating application resource management for smarter cloud optimization
- Unit 2: Cloud compute optimization
- Unit 3: Cloud storage optimization
- Unit 4: Cloud Prepaid capacity management
- Unit 5: Cloud PaaS optimization
- Unit 6: Planning for workload migration and cloud optimization
- Unit 7: AWS discovery and service control policies
- Unit 8: Parking policies to automatically power off/on cloud workloads
Schedule
1 options available
-
Jun 2, 2026 - Jun 4, 2026 (3 days)
Live Virtual | 9:30AM – 5:30PM EDT Language English Select from 1 option(s) below Live Virtual |9:30AM – 5:30PM EDT- Enroll
- Enroll Add to quote
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
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Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
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GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
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Reviews
The class was very vast paced however the teacher was very good at checking in on us while giving us time to complete the labs.
Thorough explanations by the instructor along guide and practical training sim of software.
I was very satisfied about how the course was organized. Sean Did a very good work
Great training it covered the most importan topics if GitHub copilot with good explanation and good labs.
The instructor was thorough and they also provided hands-on demonstrations with labs.
