Amazon AWS Reviews

My primary use case was as a place to migrate legacy systems.

AWS has reduced our costs and maintenance requirements. It also allows us to control our load in peak times and automatically increases or decreases your capacity as required. 

The features I have found most valuable are S3 buckets and Lambda services.

An area for improvement would be API creation - a lot of tools are provided, but there can be issues with integrating them. There is also a cost underlay, in that at the end of the day, some costs are not in the picture, so AWS needs to improve its costing toolset.

I have been using this solution for two years.

The stability of AWS has improved over time and can now be well managed.

This solution is scalable to any limit.

I previously used Rackspace Openstack but switched because it required more manpower than AWS, and AWS is more cost-effective and tolerant.

The setup was somewhat complex. It was done in three phases over a year.

This solution reduced our overhead cost by 30-40%.

Technical support is expensive to use.

I evaluated Oracle Cloud, but it was more complex to use and provided a smaller toolset than AWS.

This solution is one of the top tools available for legacy migration. I would rate this solution as eight out of ten.

We are using the solution for our core applications and our core infrastructure.

The product offers a lot of functionality. 

Our vendor who provides us a specific core application uses AWS and it's just simple for us if we use it too. 

The initial setup is straightforward.

The solution has been issue-free. It's very stable and the performance is good.

The solution can get to be a little expensive. 

I've been using the solution for a year and a half. 

The product is stable. There are no bugs or glitches. The performance is good.

We have about 100 users on the solution right now. 

Technical support is good. We have had no issues with them. We are satisfied with their service.

We also use Microsoft Azure. 

The initial implementation process is pretty simple and easy. It's not complex or overly difficult. A company shouldn't have any issues with the deployment process. 

The costs could always be lowered.

How often we pay can vary, depending on the exact service. We pay, for example, both yearly and monthly.

As a cloud-based solution, we are using the latest version all the time. 

I'd rate the solution at an eight out of ten. 

I would recommend the solution to other users and organizations. 

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. 

I use the solution for deploying some applications that use cloud computing.

It offers a lot of tools, which we leverage. 

At the moment I'm using Lambda service and also AC2 machines - as a platform as a service and infrastructure as a service.

The pricing model is good. It's pay-as-you-go. You only pay for what you use. 

The solution offers a lot of very helpful documentation. There's also a great community that surrounds it that is quite helpful if you have questions or want to learn something. 

Personally, I need to improve myself in terms of the knowledge I have around the product. My goal is to maybe get certified in order to understand it better. It would be helpful if they would be able to provide me with more certification information. 

It's a good platform. I don't have any issues with it at the moment. 

It would be ideal if they could provide automatic health reports. That way, I would be able to understand at a glance the state of my services at any given time. 

I've used the solution for three or four years at this point. 

The solution is stable. We have many items deployed in AWS and we haven't had any issues. there are no bugs or glitches. It's problem-free.

AWS provides us with a lot of tools for deploying automatically when we are working, for example, in a new feature. We have options for automatic deployments and don't have issues with size.

There's a lot of great documentation and community support. I'm learning a lot and can find any answers I need there. 

I'm working with AWS, Azure, and Google Cloud Computing right now.

I work with my customer's solutions and I deploy into AWS to provide the end product for my customers. I don't directly deal with AWS implementations themselves. 

The pricing is good and it's set up as a pay-as-you-go. It's not overly expensive. 

I'm just a customer and an end-user.

I'd highly recommend the solution to other users. It's one of the best cloud options out there right now. 

I'd rate the solution at an eight 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 Amazon AWS for many applications as well as Amazon's native services. We have a mix of content-based workloads and traditional legacy type of applications. 

Amazon AWS contains a lot of helpful services. 

Amazon AWS would be improved if it were more stable and if customer support's responses were faster. 

I have been using this solution for many years, somewhere between seven and ten. 

This solution has been relatively stable. We had one issue sometime back, so the infrastructure could be more resilient. 

This solution is scalable. 

I have contacted customer support and their response time could be faster. 

We migrated to Amazon AWS from the Data Centers. 

The installation was straightforward. The installation time varies depending on workloads. 

I implemented through an in-house team. We have multiple teams for deployment and maintenance. 

There is no licensing cost. 

I would rate Amazon AWS an eight out of ten. I recommend this solution to anyone who wants to start using it. 

This solution has many use cases. Amazon AWS offers a lot of services, all of which are useful. How useful this solution will be for you depends on how it fits your business. 

Amazon AWS is easy to use and in the past two years, I've never had any issues with scalability or stability. 

This solution could be improved by a better licensing model, especially for third-party software. Amazon AWS could also potentially be improved by more free storage, but I think that it's okay when compared to competitors' products. 

I have been using Amazon AWS for more than two or three years. 

This solution is stable. I haven't had any problems with stability in the past two years. 

This solution is cloud-based, so it's scalable. It is elastic, so as soon as you want to increase storage, you do so without any issues. There are about four thousand to five thousand people using AWS in my organization. 

I have contacted Amazon's technical support and it was quite an easy process. You will have a solution within 24 hours. 

I didn't use another fast cloud solution before Amazon AWS. 

The initial setup is easy and you don't really need to install anything. If you understand cloud solutions, you can easily do it yourself. 

I implemented myself, with an in-house team. 

We need to pay for everything. If someone is a personal user, they get one year free. But if you are using this as a professional or enterprise solution, then your company has to pay. The license pricing is comparable to that of competitors'. 

I rate Amazon AWS a nine out of ten, primarily because I have a background in Java. Someone else with more experience in Microsoft technologies would probably prefer Azure. I recommend AWS to anyone considering implementing it because it's easy to use. 

I am using it for enterprise warehousing. I am using it for web development, data warehousing, and also for building apps.

I am using its latest version. In terms of deployment, it is a platform as a service.

Macie is great. It is a service that makes recommendations on a data layer for cybersecurity. It is a great service.

Its elasticity is good, and I haven't come across any problems with it. So far, everything has been good.

One thing that Azure offers that I think is good is Migrate appliance. So, Azure has a migrate appliance that allows you to run against workloads to determine the cost, preparedness, and scalability. I haven't found a similar feature in AWS. That kind of service would be great on AWS too if you could point it to the data center.

I have been using this solution for well over five years.

I have not had any performance issues.

It's very easy to scale. Its elasticity is good. If you want to scale up or down, you can. You can scale out. There is no problem at all. That's one of the features that I like about it.

We have less than 50 people who are using this solution.

I've not used their tech support yet.

We didn't use a different solution previously. They're the first.

You need to know what you're doing. I know they're trying to make it easy. Some things are easy. Some things you have to know what you're doing.

It seems to be reasonable. It's the first one that I've used as a cloud platform, so they've set the benchmark for me, and now, I'm comparing everything else to them.

I would advise others to just plan out what they are looking for in terms of use cases. 

I would rate Amazon AWS an eight out of 10.