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A Comparison of Public Cloud Cost Optimization Tools is Now Available

by Marco Meinardi  |  December 12, 2019  |  1 Comment

If you’re using public cloud infrastructure and platform services, I bet that you’ve been thinking about adopting a tool to cut down costs. You’ve been told that there is some inherent waste in your cloud spending and you want to address that. I’m also sure that a number of vendors told you that they can help with that. But to what extent? If cost management and optimization are becoming “table stakes” in the cloud management market, there can be a huge difference in the capabilities of each available solution. Some solutions may just scratch the surface and simply report for underutilized instances – when CPU have been low in usage in the last week or so. But these solutions will leave it up to you to figure out the rest. Other solutions may automatically execute precise instance rightsizing across types, families and regions, using AI-based pattern recognition and ML inference.

Both cloud providers and third-party vendors have invested in developing cost optimization capabilities for public cloud services. In this complex scenario you may wonder: which tools will allow me to truly maximize savings while minimizing performance risks? The good news is that Gartner just published research to answer this exact question and it’s available on gartner.com right now.

Solution Comparison of Public Cloud Cost Optimization Tools

My colleague Brian Adler and I have just published the following two research notes, both available behind paywall:

The notes provide a side-by-side comparison of each solution based on a common set of criteria. Examples of criteria include compute instance rightsizing, block storage rightsizing, unused resource decommissioning and reservation portfolio management. For each criterion, vendors have been scored with grades such as “Low”, “Medium” or “High”.

Gartner clients can use the two research notes to understand what you can do using cloud providers’ native tools and which gaps you can fill with third-party tools. Furthermore, clients can use the provided criteria to assess the capabilities of any other public cloud cost optimization tool that hasn’t been included in this research.

This research is part of a series of Solution Comparisons that we published to assess tools in various areas of the Gartner cloud management wheel. Read the full research notes if you want to know the results of this comparative assessment. You can also schedule an inquiry call (inquiry@gartner.com) with myself or my colleague Brian Adler if you want to have private conversations about our research findings. In case you don’t have access to this research and you’d like to, I’m sure your Gartner representative will be more than happy to help.

Lastly, feel free to follow me on Twitter (@meinardi) or connect with me on LinkedIn for further updates on my research. Looking forward to talking to you!

 

Additional Resources

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Effective cloud security assessment processes require a very pragmatic and risk-oriented approach.

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Category: cloud-computing  cloud-computing-for-technical-professionals  infrastructure-operations-and-cloud-management  infrastructure-operations-and-cloud-management-for-technical-professionals  

Tags: aws  azure  cloudeconomics  cloudmanagement  gcp  governance  multicloud  

Marco Meinardi
Research Director
1 years at Gartner
18 years IT Industry

Marco Meinardi is a Research Director within Gartner for Technical Professionals (GTP). Mr. Meinardi focuses on public cloud, cloud management, cloud adoption strategy and IaaS provider comparison and selection. Read Full Bio


Thoughts on A Comparison of Public Cloud Cost Optimization Tools is Now Available


  1. Wesley Houck says:

    What a great read. I think customized 3rd party tools can better assist with cloud cost optimization. Some tools can use best practices to find those cost savings, but some still need a cloud expert to review the cloud environment to ensure those best practices are being utilized.



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