Overall Satisfaction with IBM Power System Virtual Server
IBM Power System Virtual Server was used to run off-premises workloads using a Linux distribution. Different instances were used to run automation, artificial intelligence cloud tasks as well as sandbox applications. The servers we configured solved our scalability issues, and are far easier to maintain than on-premise solutions we have had earlier in our development.
- Scalability
- Flexibility
- Support for many Operating Systems
- User interface for managing instances is not as easy as AWS EC2
- Number of locations isn't as great as competitors
- Can be expensive
Do you think IBM Power Virtual Server delivers good value for the price?
Yes
Are you happy with IBM Power Virtual Server's feature set?
Yes
Did IBM Power Virtual Server live up to sales and marketing promises?
Yes
Did implementation of IBM Power Virtual Server go as expected?
Yes
Would you buy IBM Power Virtual Server again?
No
- Decreased downtime compared to on-premises had positive ROI impact
- Accelerated AI tasks along with RPA which had a positive ROI impact
- Cost for using simpler tasks on IBM had a negative ROI
Amazon EC2 has a broader range of options and is more user-friendly to set up. However, IBM is far more specialized towards heavier computational workloads and other specific tasks which Amazon EC2 is not as cost-efficient. However, Amazon EC2 can often be cheaper, has better world coverage, and has more out-of-the-box operating systems to choose from.
We have had more than 99.99% uptime and no interruptions to normal business when we moved to IBM Power System Virtual Server, compared to our on-premises solution. This has lead to our developers being less agitated and time-constrained, which has boosted morale and productivity. We never had any security issues with our previous on-premise solution, however, we have the utmost confidence in the security of the IBM solution.
IBM Power System Virtual Server was easy to set up, however not as easy as Amazon Web Services EC2 instances. However, the ease of scalability has lead to no mistakes been made with overburdening the server with too great of a workload or internet traffic, which could otherwise have been a major problem.