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Turbonomic: Cloud Optimization
Course Description
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
Objectives
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
Audience
Consultants, System Administrators, DevOps, Operators, Cloud Administrators, FinOps
Topics
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
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our Badge Program →
This course is eligible for the IBM Turbonomic Cloud Optimization - Code: TN910G
Need Help?
Call us at 877-206-0106 or e-mail us at info@learnquest.com
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor.
If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive payment confirmation from LearnQuest, you will be sent further access instructions and time limits for your course from IBM.
IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (varies course by course) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you log into your course. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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Exam Terms & Conditions
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