What is our primary use case?
We are a university. We use this solution for both research activity and teaching activities. Mainly, it's used for running complex research jobs.
We don't use Superdome for specific applications. It's used in a departmental engineering laboratory, so use cases depend on the kind of research we do.
Typically, we virtualize the machine so we can allocate different virtual machines with different operating systems for various purposes. So, the main use case is to run diverse research jobs.
How has it helped my organization?
It was a significant improvement in workload management. Previously, we didn't have this kind of machine. Now, with this machine, we're able to run completely new workloads.
So it expanded your horizons in this area. We invest in these technologies precisely to extend our horizons.
We don't run mission-critical applications. However, we did see performance improvements because this product allows us to expand the adoption of modern technologies by different researchers. We invest in these technologies to create a data center that improves our overall research productivity output. So these technologies definitely contribute to that improvement.
What is most valuable?
I like the robustness of the machine. Similar performance could likely be achieved with other configurations, but this machine is very stable.
While reliability is important, it's not crucial for us since we're not running mission-critical applications.
We use it for data management, specifically for large-scale data management and applications.
We use this machine to create a Superdome with powerful data processing and machine learning capabilities on other dedicated machines. These Superdome machines focus on data processing and improve data management for us.
What needs improvement?
In this specific model, it could be beneficial to have a server configuration similar to Cisco, like the kind offered in HPE Superdome Flex X280. The ability to separate the chassis is important because we are forced to use two chassis even with lower loads.
So introducing more flexibility in the Superdome environment would be helpful.
One other problem is energy consumption. We are forced to use both chassis even when we only need, for example, all four processors. It's not always used at full capacity every day.
When underutilized, we still need to have both chassis powered, which creates an energy consumption issue.
While the machine can be configured to reduce consumption, the idea of having different possible configurations with varying chassis usage, similar to the Flex version, could be interesting for this model, too.
This model leverages specific features of the Intel MAP board, so switching like in the Flex might be difficult due to the motherboard switching involved.
For how long have I used the solution?
We use the Superdome machine. It's a very good machine. We have a lot of technologies from HPE and are likely buying more in the next month.
The model we use is an HPE Superdome Flex 280.
What do I think about the stability of the solution?
It is very stable. I would rate the stability a ten out of ten.
What do I think about the scalability of the solution?
We chose this machine for its scalability features. This model, the Superdome Flex 280, has limits in terms of scaling, but we are interested in potentially upgrading memory if needed. This will depend on the machine's usage. If our research applications become more complex, we'll need to extend memory support.
I would rate the scalability a seven out of ten because the issue is we can't add more chassis and I'm aware of that limitation. This specific model is limited to two chassis.
Our configuration already has the maximum equipment – eight processors. So, memory is the only way we can scale further.
If I compare this machine's scalability to other servers, it offers better scalability as a single machine. However, we could also scale by buying additional machines or creating a cluster. So, for a single machine, the scalability is good, albeit with limits for this specific model.
The machine is dedicated to a very complex job, so most CPUs are allocated to that. Currently, only two of my colleagues are using it.
We are experimenting with this machine for different jobs. We plan to make it available for other use cases in our department. So, different research groups will use it in the future.
How are customer service and support?
We have other HPE products with support agreements. Not for this specific machine.
How was the initial setup?
Configuration is quite easy to use, and the remote access/configuration tools are available.
I would rate my experience with the initial setup an eight out of ten, with ten being easy to set up.
We bought the machines from HPE, without the software. Since we work on these aspects, our interest is also in the hardware configuration.
What about the implementation team?
I handled most of the configurations along with my collaborators. It took us about a week to understand how it works, install the operations system, and get it ready to use.
Our deployment process, in order to have the machine usable, involved the following:
- We unboxed the machine after it was delivered.
- We used the remote interface to check the hardware, partition the disks, and allocate logical disks for the operating system.
- We then selected the specific operating system (like RedHat) to run, installed it, and tested the machine before installing other software.
- Finally, we downloaded and installed toolkits from the HPE website to manage and monitor the machine.
For the kind of maintenance we perform internally in our department, typically two people are enough.
What's my experience with pricing, setup cost, and licensing?
The pricing is not very cheap. I would rate the pricing a seven out of ten, with one being very inexpensive, and ten being very expensive.
Which other solutions did I evaluate?
This product is quite specialized, so we didn't evaluate other options in this case. It is a very unique proposition by HPE.
However, we use a lot of products from HPE in general. We have other HPE products. We have DL380 machines, HPE ProLiant DL385s, and models 160 and 360 in our environment.
We have a range of HPE machines.
What other advice do I have?
I would recommend using it. Overall, I would rate the solution a nine out of ten.