Cisco Piston Enterprise OS [EOL] vs Fugue comparison

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Executive Summary

We performed a comparison between Cisco Piston Enterprise OS [EOL] and Fugue based on real PeerSpot user reviews.

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Cloud Management

October 2024

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IBM Turbonomic

Featured Reviews

SubashSubbiah

Assistant Consultant at a tech services company with 10,001+ employees

Dec 10, 2022

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer. I would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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Enterprise677

BS Systems Engineer at a tech services company with 501-1,000 employees

Jun 30, 2019

A simple interface and helpful support for a solution that grows with us

The solution is primarily used to handle and carry all the traffic that is related to our network, to our company Some time ago we planned to extend our network, by adding another new orchestration and adding new functions and services. This product supported this new traffic. It's a flexible…

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BorisVishnevsky

Sr.Dir/Managing Principal Technology Consulting at a consultancy with 10,001+ employees

Dec 16, 2021

Easy to set up with good flexibility in customization and good reporting

I can't comment if there are missing features at this time. For the last six to eight months I didn't work with Fugue. I don't have an up-to-date product roadmap to comment on what is or is not available, what they do or do not provide. I would need to review their current roadmap to be able to accurately comment on what is or is not available. Fugue capabilities are not well understood on the market. If there was one thing they could improve, it would be to basically explain in simple terms to market what it is they do. Right now, understanding what they do requires substantial experience and expertise. It wasn't a challenge for me to identify this area, however, I'm the exception. Generally speaking, there is not sufficient understanding in the broad market of what Fugue does. This is the area they need to focus on. The general input I have is that there is an opportunity for them to better align with other similar tools and better align with similar capabilities that cloud suppliers deliver natively. What happens is they extend and augment capabilities that cloud suppliers offer. There is additional integrational and operational benefits that can be realized in how they extend and how they position themselves as compared to what cloud suppliers deliver.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'"

"I like Turbonomic's automation and AI machine learning features. It shows you what it can do, but it can also act on recommendations automatically. Integration with an APM system makes the AI/ML features truly effective. Understanding what the application is doing and the trends of application behavior can help you make real-world decisions and act on that information."

"I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance."

"In our organization, optimizing application performance is a continuous process that is beyond human scale. We would not be able to do the number of actions that Turbonomic takes on a daily, weekly, and monthly basis. It is humanly impossible with the little micro adjustments that it can make. That is a huge differentiator. If you just figure each action could take anywhere very conservatively from five to 10 minutes to act upon, then you multiply that out by thousands of actions every month, it is easily something where you could say, "I am saving a couple of FTEs.""

"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."

"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get."

"I like the analytics that help us optimize compatibility. Whereas Azure Advisor tells us what we have to do, Turbonomic has automation which actually does those things. That means we don't have to be present to get them done and simplifies our IT engineers' jobs."

"Before implementing Turbonomic, we had difficulty reaching a consensus about VM placement and sizing. Everybody's opinion was wrong, including mine. The application developers, implementers, and infrastructure team could never decide the appropriate size of a virtual machine. I always made the machines small, and they always made them too big. We were both probably wrong."

More IBM Turbonomic pros

"It offers enough support so that you don't need to have the need to get another device."

"From a compliance and visibility reporting perspective, the fact that it can be applicable for multi-cloud environments is very helpful."

"The customization is excellent."

Cons

"The implementation could be enhanced."

"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."

"Additional interfaces would be helpful."

"They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date."

"In Azure, it's not what you're using. You purchase the whole 8 TB disk and you pay for it. It doesn't matter how much you're using. So something that I've asked for from Turbonomic is recommendations based on disk utilization. In the example of the 8 TB disk where only 200 GBs are being used, based on the history, there should be a recommendation like, "You can safely use a 500 GB disk." That would create a lot of savings."

"We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps."

"The old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool."

"Since the introduction of a HTML 5 based interface, our main - but minor - criticism of a less than intuitive operation managers' GUI would be the area of improvement."

More IBM Turbonomic cons

"The solution is just too expensive, so maybe the pricing could be better."

"It would be ideal if there was customization with a focus on specific cybersecurity areas or capabilities."

"The general input I have is that there is an opportunity for them to better align with other similar tools and better align with similar capabilities that cloud suppliers deliver natively."

Pricing and Cost Advice

"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."

"Everybody tells me the pricing is high. But the ROIs are great."

"I'm not involved in any of the billing, but my understanding is that is fairly expensive."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

"You should understand the cost of your physical servers and how much time and money you are spending year over year on expanding your virtual farm."

"Price is a big one. VMTurbo was very competitively priced."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

No data available

Financial Services Firm

16%

Computer Software Company

12%

Comms Service Provider

11%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

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Comparisons

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Compared 12% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

More IBM Turbonomic Competitors

No data available

Wiz vs Fugue

Compared 100% of the time

More Fugue Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Management

October 2024

Download Cisco Piston Enterprise OS [EOL] product report

Buyer's Guide

Cloud Management

October 2024

Download Fugue product report

Also Known As

Turbonomic, VMTurbo Operations Manager

Piston Enterprise OS

Luminal

Learn More

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IBM

Cisco

Snyk

Interactive Demo

IBM

Demo not available

Cisco

Demo not available

Snyk

Overview

IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

Piston Enterprise OS (pentOS) is an enterprise grade cloud operating system meeting the security and governance needs of enterprises wanting to use OpenStack for their infrastructure services. pentOS is an OpenStack distro that builds on top of the OpenStack codebase adding some proprietary features to meet the security and governance needs of the enterprise customers.

Fugue is an infrastructure-level cloud operating system. It builds, operates, and terminates cloud infrastructure and services and automates the continuous enforcement of declared infrastructure configurations. Fugue completes the DevOps workflow by automating cloud lifecycle management via enforced and versionable infrastructure as code. Fugue is a single source of truth and trust for the cloud.

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Kuwait Petroleum Italia, Ministry of Foreign Affairs

SAP, PBS, TrueCar, TravelBank

Find out what your peers are saying about VMware, Nutanix, IBM and others in Cloud Management. Updated: October 2024.

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