Amazon Elastic Container Service (Amazon ECS) vs. IBM Turbonomic

Amazon Elastic Container Service (Amazon ECS) is well suited where you need the ease of managing the clusters by letting AWS do the stuff for you. Obviously, whenever you want to run the docker based workloads, it is always better to go for either AWS ECS or AWS EKS. If you are interested in staying at AWS only and don't want to be cloud-agnostic, then go for AWS ECS instead of AWS EKS. AWS ECS is cheaper than AWS EKS and also more managed by AWS and better integrated with other AWS services. If you want to run those workloads as serverless, then AWS ECS Fargate is the best option to go with. If you already have a Kubernetes based setup that you want to migrate to AWS, then go for AWS EKS instead of AWS ECS.

Incentivized

This platform has powerful and flexible capabilities to improve resource utilization and keep the IT environment running at high performance levels. It is well suited to keep the entire application stack running optimally, allocating more resources when required to keep applications performing. IBM Turbonomic provides the ability to achieve measurable results, reduce IT expenses and use resources wisely, ensuring that the productivity of the entire IT ecosystem is significantly improved.

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• One of the biggest advantages is the flexibility to change underlying EC2 instances. As the traffic or demand increases, we can easily change EC2 instances without any issues.
• Amazon ECS APIs are extremely robust and one can start and stop containers by firing one post request only. So, it is not mandatory to keep the demo solutions up for every time. Just at the time of demo fire the command - make the container up and running - do the demo - down the container with API. A simple portal can control every container which helps non-technical (sales, marketing) to do the demo without keeping the solutions up for the entire time frame.

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• Presentation is nice. Its easy to understand what your looking at and the data that is being presented to you.
• Properly identify resource utilization and recommendations for action on how VMs can be improved and resources can be better utilized.
• It was also able to tell us the same information and analysis for cloud resources. I was not expecting that.

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• A cleaner container service road map
• It would be. nice to have more AI recommended cluster reductions
• The UX could use some simplification

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• 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.

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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

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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.

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VMTurbo has not caused any outages by not doing what we expect it to do.

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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.

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Support is relatively good, although the documentation sometimes is lacking, as well as outdated in our experience, especially when we initiated the process of using this service. But once we found how to assemble things, we haven't really required support from anyone at AWS, the service works without problems so we haven't had the need to contact support, which speaks well of how ECS is built.

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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.

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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.

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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.

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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

Incentivized

If you are using AWS, you will be using Amazon ECS. I have also used Azure Container Instances and it works just as well in Azure as ECS does in AWS. It's really all a matter of what cloud provider you are utilizing. Because of the "Cloud Wars," it's difficult to measure cross-cloud connectivity, but I have had better luck remaining cloud agnostic in other cloud providers than AWS (Azure, GCP). Because of the sheer volume of tooling in AWS and inter-connectivity between them, it's almost easier to be fully AWS if you are using it in any kind of capacity.

Incentivized

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.

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easy scalable, adding new clusters in, no big deal.

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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.

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• We achieved minimum downtime.
• The autoscaling kept the performance of the services great.
• We saved money by running the workloads on AWS ECS in Fargate mode by having different settings for different services to save on the hardware configuration side as well as having scheduled tasks.

Incentivized

• 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

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