We performed a comparison between Cloudify and IBM Turbonomic based on real PeerSpot user reviews.
Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Cloudify works in cases where you have very advanced service chaining requirements. It really works well there, and it fits the best. They have a standardized markup that's based on TOSCA, which is a standard. I like the fact that they're standards-based. Their solution works extremely well if you have the talent and the manpower to write TOSCA descriptors to deploy and interchange services or to automate the configuration and turn up of services."
"It enables a single platform to communicate with the entire infrastructure."
"You can use only what you need. You can remove certain Cloudify functions from the framework to create a "minified" version of what you need. This might only consist of the messaging delivery system, and the orchestration functions."
"Cloudify provides the infrastructure-as-code, as well as operational action capabilities (orchestrated startups or upgrades, and more)."
"Valuable features are auto-scaling and load balancing."
"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."
"Has great extendability which means you can build your own custom logic."
"The solution includes the option to run background scripts and processes from a connected API."
"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.'"
"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."
"We like that Turbonomic shows application metrics and estimates the impact of taking a suggested action. It provides us a map of resource utilization as part of its recommendation. We evaluate and compare that to what we think would be appropriate from a human perspective to that what Turbonomic is doing, then take the best action going forward."
"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."
"I have the ability to automate things similar to the Orchestrator stuff. I do have the ability to have it do some balancing, and if it sees some different performance metrics that I've set not being met, it'll actually move some of my virtual machines from, let's say, one host to another. It is sort of an automation tool that helps me. Basically, I specify the metric, and if I get a certain host or something being over-utilized, it'll automatically move the virtual machines around for me. It basically has to snap into my vCenter and then it can make adjustments and move my virtual machines around. It also has some very nice reporting tools built around virtual machines. It tells you how much storage, memory, or CPU is being used monthly, and then it gives you a very nice way to be able to send out billing structure to your end users who use servers within your environment."
"Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us."
"We have a system where our developers automate machine builds, and that is constantly running out of resources. Turbonomic helps us with that, so I don't have to keep buying hardware. The developers always say, "They don't have enough. They don't have enough. They don't have enough," when they just configured it improperly. Therefore, Turbonomic helps us identify configuration issues on their side so it doesn't cost me money on the other end to buy resources that I don't really need."
"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."
"The upgrading process could be simplified."
"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."
"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."
"Install of the product itself could be improved and I would like to see better event monitoring."
"It lacked the user interface for multitenancy and basic platform management tasks. It is a leader in the niche area that they like to perform in, but it only does about 30% of top-tier advanced functions of platform management. It doesn't meet about 70% of what you need to manage a private cloud platform."
"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."
"Certainly the UI could use some intensive work, but nevertheless, overall, it’s a complete product with its 3.4 version and much better features are available with 4.0."
"The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this."
"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."
"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."
"It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines."
"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."
"I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more."
"The way it handles updates needs to be improved."
"Enhanced executive reporting standard with the tool beyond the reports that can be created today. Something that can easily be used with upper management on a monthly or quarterly basis to show the impact to our environment."
Cloudify is ranked 20th in Cloud Management with 12 reviews while IBM Turbonomic is ranked 4th in Cloud Management with 204 reviews. Cloudify is rated 8.0, while IBM Turbonomic is rated 8.8. The top reviewer of Cloudify writes "Works very well for advanced service chaining requirements and has extremely advanced engineers for support". On the other hand, the top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". Cloudify is most compared with Morpheus, CloudStack, VMware Aria Automation, OpenNebula and Nutanix Cloud Manager (NCM), whereas IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMWare Tanzu CloudHealth and VMware vSphere. See our Cloudify vs. IBM Turbonomic report.
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