Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$0
per month
IBM Cloud Virtual Servers for VPC
Score 7.8 out of 10
N/A
IBM Cloud Virtual Servers are customizable, public or private, cloud-based servers available from IBM. User can launch applications and software across blended, hybrid environments as the servers integrate with all cloud models.
$0.01
per hour
Pricing
Amazon Web Services
IBM Cloud Virtual Servers for VPC
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
IBM Cloud Virtual Servers (dedicated host)
starting at $0.22
per hour
IBM Cloud Virtual Servers (dedicated host)
starting at $149.00
per month
IBM Cloud Virtual Servers (multi-tenant)
starting at $0.038
per hour
IBM Cloud Virtual Servers (multi-tenant)
starting at $25.21
per month
IBM Cloud Virtual Servers (reserved)
starting at $0.02
per hour
IBM Cloud Virtual Servers (reserved)
starting at $13.27
per month
IBM Cloud Virtual Servers (transient)
starting at $0.01
per hour
Offerings
Pricing Offerings
Amazon Web Services
IBM Cloud Virtual Servers for VPC
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
AWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
IBM Cloud virtual servers include 250 GB of outbound public bandwidth, unmetered inbound public bandwidth, and unmetered private and management network bandwidth.
More Pricing Information
Community Pulse
Amazon Web Services
IBM Cloud Virtual Servers for VPC
Features
Amazon Web Services
IBM Cloud Virtual Servers for VPC
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
We are using RDS for the database services. With RDS, we don't have to manage much, as most of the DBA tasks are automated. For development purposes, we are using Kubernetes pods, which makes it easy to deploy applications and scale up as needed. AWS integration with in-house applications is seamless, making it easy to keep a data-sensitive application on-premises while still utilizing AWS services.
One scenario that immediately came to my mind was large-scale data processing, IBM Cloud Virtual Servers is well-suited for organizations that require high-performance computing capabilities, particularly when processing large amounts of data. It can also be useful for companies or organizations that wish to migrate their workplace to the cloud and it may suite companies that have strict compliance requirements since the servers have robust security features.
Scalability: IBM Cloud Virtual Servers enable businesses to simply and quickly scale up or down the resources they require in response to changing business demands. This enables firms to respond to traffic spikes, requests for new services, or changes in business size without the need for additional hardware purchases or maintenance.
Cost savings: By employing virtual servers in the cloud, enterprises can decrease capital expenditures for hardware and infrastructure while also lowering ongoing operational expenses by removing server maintenance and management costs. This can result in significant cost savings for enterprises, particularly those that need to raise or decrease their computer capacity fast and easily.
High availability: IBM Cloud Virtual Servers is built with high availability in mind, giving enterprises the certainty that their applications and data will be available and accessible even if hardware fails or other disruptions occur. This assists enterprises in maintaining business continuity and lowering the chance of downtime, which is crucial for firms that rely on 24/7 access to their systems. Furthermore, IBM's comprehensive network and security features aid in the prevention of data breaches and other security risks, assuring the availability and reliability of their applications and data.
Softlayer is designed primarily for advanced clients, and can be a little finicky like many other advanced services, such as highly-customizable options for nearly every part of a service. You build your servers by specs, just like a real server, rather than clicking a few buttons to get a basic cookie-cutter server.
Costs are much higher than one would expect, however, you do get what you pay for, and having high-quality equipment available at hourly rates is going to cost.
Support is surprisingly mediocre, and the primary cause of most complaints about softlayer. I personally have had no problems with support, but, remember that this is an "advanced" service, and even my eyes go cross-eyed looking at the config options of a server. I would imagine support is focused and trained for dealing with experienced Linux admins, and developers, and would not be of much help to anyone that accidentally ventured in, expecting an EC2 style experience.
I would gladly rely on AWS for any large-scale application deployment. For prototyping and small-scale applications, a more heavily managed environment on top of the 'bare metal' virtual infrastructure, such as Heroku or Elastic Bean Stalk, is probably a more productive approach in most cases
It has a flexible and affordable pricing, easy to configure and manage. It is easy to spawn one or multiple instances and have them up and running in no time
Amazon Web Services is a great tool when it comes to middle size organizations like us. It provides multiple tools and functionalities in low costs. The best feature we have to pay as we go. No financial burden on company for the unused instances. It also comes with greater level of security such as two level authorization such as multi factor authorization.
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to immediately search for their compatible software's and also to guide them in a good direction. Moreover, this product is a good suggestion for every type of company because of its affordability and ease of use.
It is adequate, but you need to be ready to argue your point - which is fair enough, I suppose, but being given the opposite of the benefit of the doubt every time does not necessarily result in an enjoyable user experience.
In my personal experience, AWS is superior to both GCP and Azure in the majority of usable applications. GCP suffers from the near total misunderstanding of how support system is even supposed to work, and while _some_ services are pretty nifty and well-polished, some are mindbogglingly designed black boxes with self-conflicting documentation. Some of it comes from having legacy systems, sure, but AWS somehow manages, even having a rather big lead start. Azure, from my limited experience, is limited to people somehow coerced into its usage by external constraints. That being said, IF you can design and implement something there, it will probably run fine.
IBM Cloud Virtual Servers offer more customization options than Amazon EC2, with the ability to select from a range of operating systems, storage types, and network configurations. IBM also provides a wide range of tools and services to help manage and optimize your virtual servers, including a web-based console, CLI, and API.
AWS EC2 is a more managed platform, with a focus on providing a simple and easy-to-use interface. Amazon provides a range of predefined instance types, each with different specs and pricing, to make it easy to find the right option for your needs. AWS also offers a number of management and monitoring tools, but these are often more basic than what is available from IBM.
Provisioning resources like large database instances is really quick. We can easily scale our instances up or down as per need.
Storing files in S3 instead of onprem NAS drives is much more economical, especially for the files stored in glacier deep archive for compliance purposes.
Backup snapshots of EBS volumes and RDS instances may increase the cost of cloud if not cleaned up properly.
IBM Cloud Virtual Servers has allowed us to reduce our costs of training and development by 100%. We no longer need hardware that is specific to the development environment. This means we can act more quickly on new business initiatives since they are not hampered by the availability of hardware, downtime, or maintenance windows. The time savings stemming from this alone makes the investment pay for itself.