Eco4Cloud Workload Consolidation is a Virtual Infrastructure Optimization Solution designed to improve the economics of virtualized data centers with an intelligent software platform, which increases performances and decreases costs.
Eco4Cloud Workload Consolidation works on top of a virtualization platform, and uses the exposed API to connect to the platform and optimize the workload placement in a virtual farm in order to make it more…
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IBM Turbonomic
Score 9.2 out of 10
Enterprise companies (1,001+ employees)
IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. One of the key features of IBM Turbonomic is its ability to continuously adjust application resources in real time. By monitoring resource utilization and application performance,…
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Pricing
Eco4Cloud Workload Consolidation
IBM Turbonomic
Editions & Modules
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IBM® Turbonomic On-Prem
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per month IBM Turbonomic On-prem optimizes data center resources in real time, ensuring app performance at the lowest cost by aligning infrastructure supply with dynamic application demand.
IBM® Turbonomic Cloud Standard
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per month For customers with more than USD 1.6 million in annual cloud spend or 50 Managed Virtual Servers (MVS) or greater
IBM® Turbonomic Hybrid Standard
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per month Advanced hybrid cloud optimization capabilities for customers with 200 managed virtual servers (MVS) or more
We compared the consolidation feature and we obtained exactly the same amount of servers in stand-by. The main difference was that Eco4Cloud turned off the unneeded hosts in 2 days while VMTurbo Operations Manager required one day per host. This behavior is caused by the …
IBM Turbonomic
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Features
Eco4Cloud Workload Consolidation
IBM Turbonomic
Cloud Management
Comparison of Cloud Management features of Product A and Product B
Eco4Cloud is well suited in VMware farms that have standard VM deployments, especially with small VMs, with nothing blocking vMotion and hardware fully compatible with IPMI 2.0 (minimum). It doesn't work well if many VMs are nodes in a Microsoft cluster because they would be unmovable and therefore their host would never be put in stand-by mode. If every host in the cluster has at least one guest VM that is a node of a Microsoft cluster, no host in the cluster will ever be put in stand-by mode.
Measure the usage of resources across different platforms, from Kubernetes to VMs on-premises or in the cloud, to obtain current capacity metrics and plan for future scenarios. Reduce IT infrastructure costs by taking automated actions based on resource underutilization, such as shutting down VMs or changing resource definitions.
It consolidates workloads in VMware clusters using an algorithm that seems to work better than VMware DRS. It keeps headroom for workload peaks and to withstand the number of host failures set for the cluster in vCenter.
If the workload is very variable, Eco4Cloud will not continuously turn a host on and off but it will settle to keep the host running. It sort of "rightsizes" the cluster keeping only the right number of hosts running. This is another main difference when comparing Eco4Cloud with VMware DRS/DPM which strictly follows the workload and sometimes isn't fast enough in turning on the hosts when the workload is ramping-up.
To do a good job Eco4Cloud needs to analyze the hosts and the VMs. Therefore, the troubleshooting component of Eco4Cloud can figure out if there are problems in the configuration of the hosts (e.g. vMotion settings). It can also determine if a VM is stuck and can't vMotion (e.g. using the physical CD-ROM) or if it's oversized or undersized.
Something Eco4Cloud has and others don't is a technology named Smart Ballooning. With Smart Ballooning Eco4Cloud recovers unused RAM from the VMs and gives it back to the host way before the host goes over the 94% RAM threshold. This allows us to reach higher levels of overbooking.
It would be nice if the UI included a break-down of features that are both licensed as well as un-licensed. That way, you could not only see what you have, but what you don't.
The right-sizing recommendations are great, but very little info is given about why the recommendation is being made. More info would not only increase understanding, but would also help drive decision-making.
We are certainly happy with Turbonomic as a whole and have invested quite a bit of time and effort into learning the ins and outs of the product. We have our reporting setup the way we want it and have gained definite value from these features. I will say though that many products nowadays are offering more native monitoring, reporting, and alerting features which may eventually steer us away from this product
Excellent approach to larger VM organizational management. They have an very clean integrated dashboard that allows us to see everything in our environment and what that is doing in real-time. It works on multiple hyper-visors really well and integrates capacity planning on my local site as well as my cloud locations.
It allocates resources among applications by showing more on the cost breakdown by cloud service, with metrics on cloud provider information like Azure Management, Identity, Networking, Storage with costs per day, and total services costs. This then could facilitate and show the corresponding actions thereafter upon scaling.
When I contact support I get a quick response and they are able to solve my problem quickly. I also get a sense that they want to make sure that we are getting value from the product and walk me through whatever steps are needed to accomplish my goals.
Alex (from VMTurbo) has worked with the product for years and helped develop the product. He was very knowledgeable and was able to provide our support team with details knowledge on how to get our deployment configured correctly as well as help with another VMTurbo POC within another customers environment.
After buying VMTurbo Operations Manager, I was invited to an online user training event. I felt this training was effective and dug just deep enough to be informative yet still keep my attention. Additionally, the webinar was free.
The implementation was very simple. Just upload an OVA file and power on the VM. Once it comes up enter some networking information and you can then access the web interface. From there, just begin configuring the system for your environment by adding you license and the various virtual environments and storage through the inventory tab
We compared the consolidation feature and we obtained exactly the same amount of servers in stand-by. The main difference was that Eco4Cloud turned off the unneeded hosts in 2 days while VMTurbo Operations Manager required one day per host. This behavior is caused by the different algorithms implemented by these two products. Compared to Eco4Cloud, VMware DRS/DPM was very aggressive (we tried it in vSphere 5.0). We haven't tested it with vSphere 6 yet.
As the organization had experience of years in using IBM products, we had the confidence that they will provide us with great support. And we needed a reliable solution as a financial institute to ensure continuous operations. Even though the price was very high, we made the correct decision to go ahead with IBM Turbonomic as the feedback from existing users in the region was very positive. We needed a solution which was capable of handling our automation requirements. All these were green in IBM Turbonomic.
Professional services were always there to guide us in our transformation to the cloud. They understood our business model and then were able to provide guidance on what we needed from the tool.
Application performance has been a big one. With Turbonomic keeping everything running at top performance, it can make changes when extra resources are need, quicker than somebody being notified and then making the necessary changes.
Turbonomic has been a great cost savings for us on multiple occasions. We use it every time we are improving servers.
With the planning feature we get the best performance form new hardware purchases