Amazon Web Services vs. IBM Cloudability

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.

Incentivized

Good tool to start FinOps journey in a medium sized (or above) company. Currently missing AI capabilities that are now available with a lot of FinOps vendors in the market. Also, apptio currently does not have FOCUS dataset nomenclature, that can be worked upon.

Incentivized

• Starting an instance and accessing it for testing purpose, demo or production deployment its always easy.
• All the things which are available over AWS are pretty well managed and easy to use.
• You might find everything you required for an product and other development over AWS.
• Its suitable for both either an enterprise or an startup
• Various resources and documentation are available in case you struck somewhere.

Incentivized

• It shows the visibility into the cost and a single pane of glass for all of our cloud providers, multiple products in those multi-cloud. So it shows us our spending across the cloud by vendor, by product, and by all the tags that we have in the cloud. So it gives us visibility into many different directions in our cost.

Incentivized

• The AWS Management Console can be overwhelming. so a better dashboard and organizing it would improve usability.
• The pricing models are complex. We need a more clear price calculators and cost management tools to manage our expenses better.
• Enhancements in cross service compatibility and easier third party integrations could streamline workflow.
• Simplifying model training in SageMaker and improving IAM for granular access control would make AWS more user friendly

Incentivized

• It would be good to see if it offers integrations with wide variety of tools like Service NOW, MS Teams, DataDog, Slack and also with cloud native Notification services like SNS etc.
• It would be great if Apptio cloudability provides comprehensive documentation and training
• There is scope for improvement on Enhanced cost optimization Algorithms.

Incentivized

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

We decided to build our own home-grown FinOps tool, but the results of the proof of concept were very promising.

Incentivized

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.

Very strong tool, nearly as clunky as older tools like CloudCheckr and much more fully featured than newer tools like Pileus. It's easy to get started with drilling into data for experienced FinOps users; others end users have a learning curve, but I don't think that's specific to Apptio Cloudability. The biggest drawback I find is the tool is buggier than others (e.g. CloudHealth), and constantly having to refresh a browser makes for a poor user experience.

Incentivized

Availability is very good, with the exception of occasional spectacular outages.

Only been 1 or 2 occaisions when not available, in 3 years

Incentivized

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.

Afternoons tend to be a little slower, due to US traffic I assume

Incentivized

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.

Incentivized

While there have been few support cases where the experience was good. But in multiple support cases it's firstly delayed and even after weeks or months of time, team is not able to provide us with the RCA of the issue. All they are claiming is the issue is now fixed which I still see coming back after few days or weeks as we've never identified and addressed the root cause.

Incentivized

Training was adequate, but the real learning begins when you start using the product, like most things. All major functions were covered so as an entry point, was a good introduction to the product. The training pace was good as well, the areas were covered in decent depth, without being too much of an information overload.

Incentivized

The API's were very well documented and was Janova's main point of entry into the services.

Within months

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.

Incentivized

I like IBM Cloudability compared to IBM SPSS Statistics because I think SPSS is a bit outdated. In my opinion, IBM Cloudability is more modern and helps present data better than SPSS could. Compared to Microsoft 365, I would say they are about even. One thing I like about Microsoft 365 compared to IBM Cloudability is data manipulation is a bit easier with formulas which I can't say I have been able to do with IBM Cloudability.

Incentivized

Works as designed

Incentivized

• 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.

Incentivized

• Apptio Cloudability has enabled us to charge back 100% of our cloud spend to our business users and on an automated basis through the use of ApptioOne
• Apptio Cloudability's transparency and metrics have enabled us to save millions of dollars in cloud spend across our user base.

Incentivized