Amazon AWS Reviews

We use it to run workload applications, ERP systems, LISAP systems, etc. Everything is on the cloud, including our technical infrastructure for computing, storage, and networking. You can deploy applications like SAP or Oracle or run any website with applications on it.

You can build and release applications quickly with AWS instead of waiting for months to get the necessary hardware. That's the real benefit. The time-to-market for developing applications is much shorter. 

The most valuable thing about AWS is its ease of use and agility. You can quickly deploy it, and there are no upfront costs.

One problem is that the AWS public cloud doesn't have shared storage capabilities. The second thing is the cloud performance versus on-prem. I also have one suggestion that's solution-based. For example, if I want to deploy a medical solution, I would like to have a medical template, so I don't have to set up the infrastructure from scratch. They should provide everything in a pre-defined custom solution blueprint. 

We've been using AWS for four years.

AWS is generally reliable, but we've seen a lot of issues lately, so I would say they have some room for improvement. For example, if the user doesn't configure something correctly, it might fail. Even if AWS is reliable, that doesn't guarantee that all the users will be reliable. They need to make the design foolproof. 

AWS is a cloud provider, so the scalability is almost infinite. Our company currently has around 500 users on AWS. 

We have enterprise support, so they have different levels. If you have enterprise support, they have obligations they must meet. In our experience, Amazon support is above average. Sometimes we get good support. Sometimes we don't. I would rate it six out of 10. 

The AWS initial setup is seamless and straightforward. We set it up ourselves, and we have a 10-person team to manage and maintain the solution. Including design and planning, it took us about three months. 

I rate AWS seven out of 10. My advice is to watch out for the cost. A public cloud means you can use any resource, and there is no upfront cost. That means someone can use an expensive computing solution that might cost them tons of money. No one is holding your hand, so you can use it, but you need to be conscious of the cost before using the solution.

Our primary use case of AWS, for most projects, is for hosting on AWS and developing locally, as well as testing some AWS environments. We are mostly using this platform from a developer point of view. AWS is our cloud platform by choice. 

One of the most valuable things about it, besides the stability, is that you can forget about infrastructure because you're just doing it on AWS. I remember the times before AWS and other cloud solutions existed, and it was a huge pain to get real hardware, put it inside, configure everything, report everything, and do a scale. It was very, very difficult compared to how it is now. Not even just AWS, but what all these cloud providers are doing, I would say, is a huge advancement in technology. 

AWS could be improved with more integration, but I can see that they're developing these features and working very hard on their platform. 

I have been working with AWS for a few years. 

Amazon AWS is very stable. 

One of the major points for AWS is the scalability that comes with it. You can monitor it really well, and you can even adjust down, or sometimes up. What this technology allows is very nice. 

AWS is predominantly used in most of the projects that we have. In my organization, there are thousands of users who are using AWS. 

I have never personally contacted tech support. 

There isn't really an installation for AWS, but you will need certain certificates to download the interface. I generated some certificates, put them on my machine, and then used them to connect to AWS services. 

It depends on the project, but there is usually only one guy needed for deployment. For bigger, more complex platforms, you may need two or three guys to deploy AWS. 

I implemented AWS myself. 

You pay for a license, and that's how you get your own account. These are usually not individual licenses, but rather for a group of people. I think these licenses come at some volume, but I don't know many details about the licensing. 

I rate AWS a five out of ten, but it's mainly because I don't feel very experienced in AWS. I have gone to the console many times and seen many features that I have never used. I'm sure I can learn quickly, though, because there is a lot of information shared on the internet about how to use it—there are a lot of resources that you can use to learn, and there are a lot of features available on AWS. They're working very hard on their platform, and I can only see their usage growing in the future. 

I would certainly recommend AWS to others. 

We advise our clients on using AWS services. It has many applications; in health care with regard to patient medical history. Some use it for hosting, SAP and V-ware. Those are the most common uses for our clients. We are resellers and I'm the operations director.

I think machine learning is one of the most used and most valuable services, especially in scientific research. The solution is evolving all the time. 

Some of the services are hard to use so I think a more user-friendly interface would be helpful.

The solution is stable. 

The solution is very scalable. 

Amazon offers different support plans. We have enterprise support and they generally get back to us within half an hour. The escalation process is very fast, because they know that there is a critical platform involved. They generally offer a high level of support. 

The initial setup is not too complex but it's not straightforward either, somewhere in the middle. In terms of deployment time, it can be anywhere between a few minutes and a week, depending on what you need. 

Training is critical before implementing the solution. There are very good AWS certifications like the certified practitioner, and there's a lot of free training on the AWS webpage that customers can use. Most of the training is hands-on so you can experience how things would be done in a work environment. AWS recently deployed 100 free courses on amazon.com to help people better understand their products. I would recommend looking at those.

I rate this solution nine out of 10. 

Amazon for DevOps is fantastic. Amazon has fast clouds, and the process and the Dev is very good. 

Amazon tools are for more mature DevOps. The process and the Dev is very good, but it doesn't compare to the ease of using the Google Cloud Platform. Google Cloud Platform is easier for the developer since it has many automation features. You can use the many tools to automate your info or create machines. Personally, I like using both.

I have been using AWS for two years.

AWS pricing is higher than other services.

I would rate AWS a ten out of ten.

We're using AWS for limited purposes right now. The university has its storage, servers, and large amounts of data center equipment, and the cloud fills a niche. We put things in the cloud so that others have access. But from a storage standpoint, 95 percent of the usage is entirely on-premises. We might use it more in the future, but we're trying to build up a storage ecosystem right now. We'll likely build that around some open-source solution, like Ceph or MEAN.io, or something from a popular vendor. 

RedHat has Ceph storage too, and IBM has object storage. I'm not sure what the university will go with, but those are the ones we are looking at. We're using AWS S3 for general storage and storing images. We also use AWS as a platform for building some web services and things like that. 

We've built several AI ML solutions and done lots of work on the GPUs available on Amazon servers. We did a lot of work around web spidering, natural language processing, and machine learning or deep learning workloads. 

I think Amazon could improve some of the security or fine-grained access for metadata and many other things. From a cloud standpoint, Amazon provides more ways to restrict access or provide fine-grained access to different services. For the time being, I think the ecosystem is relatively secure, but there is room for improvement. 

AWS is scalable. It's serving about 150 users at my company right now. All of the users are researchers who do their own thing. Each research team manages its own partition and has fine-grained access to all the services. Small groups of around 10 to 15 people manage their own respective groups as to all the requirements associated with AWS.

We customized our Amazon AWS deployment. The process takes about three to five hours, depending on the ecosystems we are building. It depends on whether it is related to web services or the call configuration. Some configurations take no more than half an hour. If you're doing something involving the server, you need to personally install some servers and some of the other database-related stuff.

I'm one of the AWS architects, but we have administrators who take care of the maintenance. I'm looking at some of the SNIA content, and it seems pretty good for object storage or some of the other storage-related options. I'm still trying to see which solutions are potentially more suitable for us. 

I'm not sure about the licensing. I don't know what kind of subscription the university bought. I imagine it's similar to Cognizant, which had a usage-based mechanism. We bought yearly subscriptions for specific servers while pre-booking some of the server-based storage or computing infrastructure.

We've used Azure also. They are all fairly good. 

I rate AWS eight out of 10. I used to work in Cognizant and TCS before that, and we used different cloud services, such as Amazon and Azure. If you want some kind of public cloud infrastructure, I would go with one of these or maybe Google Cloud. The university is in the process of setting up its own storage or server ecosystem. We plan to store massive amounts of video, images, and other objects, like our AI/ML workloads. 

We use the solution for many use cases, such as application hosting, virtual desktops, and disaster recovery.

Customers don't need to calculate what their future requirements need to be. They can start using Amazon AWS no matter what the requirements are and if they increase size it can support them. By using the solution they can reduce their infrastructure, which helps them reduce the cost and of their infrastructure.

This solution is used as the basic requirement for any virtual machines use cases, the storage is used for each use case.

I have been using Amazon AWS for a year and a half.

The solution is stable. We have global customers on this platform. If you see the past records of Amazon AWS, there has been rarely any downtime or something happening.

Amazon AWS is scalable., there are different tools that help to maintain the scalability of the solution. Many of the tools are free of cost. There is no restriction on how many people can use this solution.

We have 500 customers in the Mumbai region and we plan to increase usage.

There is vendor technical support but it is not required if they are taking our support. The customers can directly purchase their support. Our small customers, are purchasing AWS support and they are pleased with the support.

The initial setup difficulty depends on the customer's environment. If it's a simple single virtual machine, then it's a simple setup. If it's an SAP-type workload on AWS, then it is somewhat complicated.

If it is a small single-server implementation, it will take one day to deploy. Otherwise, from an application perspective, your team needs to handle everything and it could take beyond 15 days to one month.

We have our own team that does the deployment.

The price of the Virtual Desktop service from Amazon AWS could improve, it is more expensive than competitors. The pricing model we are using is pay-as-you-go. You only pay for what you use.

The technical support from Amazon is extra and there are more than 200 services you can use that has a cost.

My advice for those thinking about the implementation of Amazon AWS is to start using it, do not have fear to use these services. If you know how it works and you receive the right support, it always helps to reduce the cost and headache of IT.

I rate Amazon AWS an eight out of ten.