AWS Fargate is a compute engine for Amazon ECS that allows the user to run containers without having to manage servers or clusters. With AWS Fargate there is no need to provision, configure, and scale clusters of virtual machines to run containers.
$0
*per hour
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.
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Pricing
AWS Fargate
IBM Power Virtual Server
Editions & Modules
Fargate Spot per GB
$0.00138679
*per hour
per GB
$0.004445
*per hour
Fargate Spot per vCPU
$0.01262932
*per hour
per vCPU
$0.04048
*per hour
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Offerings
Pricing Offerings
AWS Fargate
IBM Power Virtual Server
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
*based on US East rates. Price varies region to region.
If you need to deploy Docker containers, Amazon Fargate is a very good fit. It integrates very well with other AWS services like RDS, EFS, and Secrets manager. You can have a very robust application using those services. In case you have many containers to deploy, it is however more expensive that if you use other services like ECS or EKS, since they allow you to share the same infrastructure to deploy multiple containers.
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.
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.
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.
Pricing and billing of AWS Fargate is loosely tied to your exisiting AWS billing. You're unlikely to only use Fargate in your AWS subscription, so you get billed for everything alltoghter.
Fargate is naturally a bit more expensive that usuel docker services, but with careful planning and architecturing, you can have a very manageable cost.
You can also rely on Saving plans to reduce your bill.
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.