Amazon Lightsail is a virtual private server (VPS) designed to present an easy-to-use cloud platform that offers everything needed to build an application or website, plus a cost-effective, monthly plan.
$3.50
per month
IBM Power Virtual Server
Score 9.2 out of 10
N/A
IBM presents their Power Systems Virtual Server as a scalable, cost-effective way to run IBM AIX, IBM i and Linux workloads.
We utilized Amazon Lightsail to get a web application proof of concept up and running. It's easy to set up, requires minimal configuration, and lets us to concentrate on the coding. It's designed to help you get started fast and easily, but it's not designed for corporate applications or workloads.
It is really impactful in terms of scenarios like ERP systems and Data Analytics where heavy data needs to be analysed in terms of volume and their needs to be high scalability offering so in that scenario it is a great asset and features like distribution of workload using AI capabilities by leveraging modern IBM offerings like Watson is really helpful the area in which it could improve is native development of application in terms of adoption of New cloud Technologies
At the moment we are 100% satisfied with the performance and our support team is well used to the process involved. So unless we have some major issues in adopting, we are sure to be with IBM itself.
My overall experience with Amazon Lightsail is very good, and the online community of Lightsail users is very large and its helps to resolve any kind of issue i faced on my server. I also like the integration of other AWS services with Amazon Lightsail like we can export our Lightsail instance into ec2 server using snapshots.
I would rate IBM Power Virtual Server’s overall usability as an 8 out of 10. The platform offers a solid interface and intuitive dashboard, making it relatively easy for users with cloud experience to navigate. Its scalability and flexibility are strong points. However, the learning curve for new users can be steep, especially when dealing with complex integrations or configurations. While documentation and support are extensive, some users may find the setup process challenging. Overall, it’s highly functional but could be streamlined further for beginners.
As with most IBM products the ongoing support for IBM Power Virtual Server is solid and consistent. IBM provides a clear roadmap for receiving support of their products. Both voice and online response is offered. It is obvious that IBM has the internal systems and culture to maintain support functions. This starts from the initial support call to the problem analysis and continues through the problem resolution. Documentation and communication are consistent within this process.
Amazon Lightsail is a great platform. Before we started using it, we were using AWS EC2 instances as our primary servers after being dissatisfied with other providers. After Amazon Lightsail's introduction, we were able to reduce our operating costs, improve our quality assurance tasks, and provide much more efficient and better apps with our microservices architecture.
They both have their own ups and downs and it totally depends on the team which suits them best. IBM Power Virtual Server has Performance, Scalability, Reliability and Availability, Compatibility, and Good Vendor Support. The specific use case and workload requirements played a significant role. Some workloads may benefit from IBM Power Systems' architecture, while others may perform equally well on alternative platforms.
I would rate IBM Cognos Analytics’ scalability as a 9 out of 10. The platform is highly capable of handling large volumes of data and supporting thousands of users with ease. Its architecture is designed for high performance, though it may require fine-tuning for extremely complex data environments to maintain optimal performance.
There have also been 80% fewer application crashes due to a lack of resources that previously ran on the X86 platform.
Administration management has been simplified and staff can dedicate themselves to the development of applications, instead of providing support to users when the applications do not respond efficiently, this made staff 45% more productive.