Spot by NetApp, now including CloudCheckr, helps companies to run their cloud investments. The Spot product suite uses machine learning and analytics to automate and optimize cloud infrastructure, to ensure that workloads and applications always have the best possible infrastructure that is available, scalable and available at the lowest possible cost. Spot’s technology provides insights into cloud costs, recommendations for how to optimize utilization and costs, and automation to implement…
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IBM Turbonomic
Score 9.0 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
Spot by NetApp
IBM Turbonomic
Editions & Modules
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IBM® Turbonomic On-Prem
Varies - Request a Quote
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
CloudCheckr is fantastic for those that are purely in the Cloud as it provides everything you need under one roof for a comprehensive configuration and usage monitoring tool. It has SysLog capabilities though so you can farm out the alerts into a SIEM or other log management system, so hybrid environments could also benefit from its use.
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.
Detailed Best Practices. It's important to align your cloud to industry best practices for security and cost—it just performs better if it's used the way it's meant to be used. AWS is very flexible, and that's great when you have special requirements, but you've got to at least know when you're using something in a non-standard way so you can think through the implications.
Cost Reduction. Some recommendations are almost impossible to make at least for our setup, but many, many others are easy. We only have to log into CloudCheckr every few months and make a few changes for it to more than pay for itself.
Right-Sizing. This is related to the other points, but for some reason is separate from their cost module. The metrics it's able to pull only tell half the story, so it's good to verify it's sizing recommendations before making changes. But it does show you what instances to focus on first, and even if you choose a slightly different size to move it to, it does clearly indicate it's current size isn't appropriate. And this works both ways, if the size is too big, you can save some cash by making it smaller, but if it's too small, you want to be sure to scale up before you run into performance problems.
CloudCheckr features have a tendency to break without warning. Functionality in place for months could suddenly stop working.
CloudCheckr support often delays work on support tickets for fixing broken application functionality.
The CloudCheckr platform and documentation website often crash or experience performance degradation.
CloudCheckr cost reporting is often impacted by faulty code or broken report functionality. This can contribute to a low level of confidence in CloudCheckr's ability to deliver accurate cost reporting.
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
Overall, CloudCheckr covers all our AWS monitoring needs and great integration through SysLog into our SIEM to capture alerts for investigation. The reports are great and allow for an easy daily review. Small improvements could be made to the interface and better filtering in places would be good. Great product and the price is fair.
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
There are a few products out there that'll do an aspect or two of what CloudCheckr does, but I honestly couldn't find anything nearly as comprehensive as CloudCheckr.
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
