Amazon Web Services offers AWS Config, a service that provides monitoring and assessment of AWS resource configurations to support compliance auditing, change management and troubleshooting, with resource histories and comparison of historical configurations against planned configurations.
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IBM Turbonomic
Score 9.3 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
AWS Config
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
Offerings
Pricing Offerings
AWS Config
IBM Turbonomic
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
With AWS Config, you are charged based on the number of configuration items recorded, the number of active AWS Config rule evaluations and the number of conformance pack evaluations in your account. A configuration item is a record of the configuration state of a resource in your AWS account. An AWS Config rule evaluation is a compliance state evaluation of a resource by an AWS Config rule in your AWS account, and a conformance pack evaluation is the evaluation of a resource by an AWS Config rule within the conformance pack.
Volume discounting available.
More Pricing Information
Community Pulse
AWS Config
IBM Turbonomic
Features
AWS Config
IBM Turbonomic
Cloud Management
Comparison of Cloud Management features of Product A and Product B
To keep track of changes and to answer many compliance issues this is a life-saver. AWS does a good job providing tools like this. Any AWS workload should be monitored with AWS Config. It even is great for troubleshooting and seeing who changed what at what time.
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.
Vendor lock-in, no easy migration path for example if you want to move some workloads to Azure, you'd not be able to lift and shift.
Only at an AWS resource perspective - cannot do desired state configuration at an OS level (which makes sense but be good if you could even as a separate feature within AWS Config).
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.
I have not found a better tool for capacity planning my VM environment than Turbonomic. If that is the use case, I would highly recommend. Similarly, if you are looking for automation and VM rightsizing automation I would also highly recommend. For troubleshooting scenarios where deep levels of infrastructure metrics are required, there are better tools available.
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.
The performance has never been an issue for us, the dashboard gives us real-time monitoring and the alert sends us the notification within less than a minute of it happening, this applies to all of the monitored resources on AWS. However we can't (or probably haven't figured out how to) integrate with any other third party services, so we can't really evaluate how it integrates with other services
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.
Just this week we had an issue where security permissions we had done wrong were causing problems in VMTurbo Operations Manager. Despite this being our fault the service request was handled very quickly. In addition we are routinely contacted proactively to see if there is anything we need or they could do for us.
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.
VMTurbo was easy to setup and implement. Probably helped by the remote telephone support we received. It was a simple process and and fairly painless. More complex configuration was achieved via a webex session and the support was greatly appreciated
Despite the comparison it is not really apples to apples, the main purpose of the service is quite similar which is to monitor your application or services. In terms of AWS services, AWS Config provides more options to monitor and log your service on the infrastructure level which is very useful on that level and overall will give you more information about what is currently happening. Meanwhile PaperTrail is more suited to monitor and log your service and could only give you information on the application level.
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.
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