Amazon AWS Reviews

Most of our managed services are in Amazon Web Services. We also use Kubernetes clusters for some of the cases. 

We are basically on the cloud, and most of our clients prefer AWS as the cloud provider. Most of the solutions have been on-premises, which basically involves migration to AWS. We also started using a hybrid model because some of the clients prefer a hybrid cloud kind of approach, where they have an on-premises model and something on the cloud so that they can just connect their data centers to the public cloud. 

We are mostly using EC2 compute and other resources. Most of our managed services are in AWS, which some of our clients prefer.

User personalization and robotic process automation services need to be mature enough. More APIs are required for robotic process automation services. Azure is more mature in terms of user personalization and robotic process automation services. 

The document processing can also be better. Whenever we want to do any kind of document management, I try to do OCR, ICR, etc. The functionality in AWS has to be more like that.

I have been using Amazon AWS for almost two and a half years.

It is a stable product. We do not have any issues with its stability. Most of the customers come for 99% to 99.95% availability. 

AWS has a very highly scalable model. Because the availability requirements are high, we typically go for additional redundancy. It is easily possible to support different operating models in AWS.

Their technical support is very good and fast. Whenever you need something to be fixed, they are able to do it completely.

It is comparatively very easy. We have our own R&D environment where we do our work. When we want to actually do something for the client, we just move the work that we have done in our R&D environment into the client's cloud. It is very easy to use all the services.

Its price is kind of okay. When we do a migration from on-premises to the cloud, we typically use the lift-and-shift model. Based on the studies that we have done, cost savings are definitely there when we moved from on-premises to the cloud.

I feel that you shouldn't basically stick with any particular cloud provider. If you really want to take the benefits of a multi-cloud environment, you should not build your applications focused on any particular cloud provider. You should build something that is generic, and whenever required, you should be able to switch to any kind of cloud provider. People tend to actually focus on one particular cloud provider, and they start building their applications to cater to that provider. You shouldn't do that. You should reap the benefits of all cloud providers. This is what we also say to our clients.

I would rate Amazon AWS an eight out of ten. It is really good as compared to the other cloud providers such as Google Cloud.

All of our clients look to migrate their workloads to the cloud and we propose the use of AWS depending on the technology of the client or the workload they want to migrate. Our primary use cases are workloadmigrations, infrastructure as a service (IaaS), sometimes platform as a service (PaaS) and software as a service (SaaS). We use different AWS services, Elastic cloud compute, Web application firewall, AWS firewall, LAMBDA, CloudTrail, and others.

AWS has a lot of services that are very good. One of the services I use is AWS Transit Gateway. This service allows me to communicate between different networks in different accounts. It's good for network communication. The other service I use a lot of is "Control Tower", it's a service used to organize the different accounts our clients have.

With regards to improving the service, I don't see any room for improvement at this time. I love the technology, it is a very good public cloud offering with very good services. Until now, there are no services that I don't like.
One other aspect, it would be good to see the basic service level improved with regards to response time. They don't offer 24-hour support. 

I have been using Amazon AWS for around two years.

AWS is very stable. They have an SLA of 99.99%.

AWS is very scalable.

My experience with AWS support is very good. There are four types of support: basic, free, business and premium. It depends on the level of support you have which determines how quickly they can respond about an incident, ticket or request you have. 

It's very easy to set up services in AWS. Depending on the solution you need to deploy it can be very quick. A virtual machine can be deployed in 5 minutes. 

Our company is a partner with Amazon, we implement in-house. 

What is hard with the public cloud service like AWS, is ensuring you maintain a good budget. Plan the monthly consumption properly. If you don't have the expertise in the cloud, your monthly cost can go very high. It's also very easy to set up services in AWS.

I would also suggest companies look for a good partner that has the necessary experience to deploy the services when moving to the cloud. It's very simple, but you need to design a very good architecture for cost optimization and performance.  

The solution is good for integration. It's very flexible and customizable with other services, public, cloud and on-premise.

My primary use case of AWS is cloud computing. I have been using the EKS, EFS, S3, and Lambda. I have a lot of experience with the Kubernetes cluster service, as well as AWS, Azure, and GCP. 

This solution is cloud-based. 

Amazon AWS has many merits, in terms of scalability, stability, and availability. I have loved using this tool. 

Amazon AWS could be improved with cheaper licensing costs. 

I have been using Amazon AWS for more than four years. 

This solution is stable. 

This solution is scalable. 

In my organization, there are approximately 500 to 1,000 users of Amazon AWS. 

Amazon's technical support is excellent. I am very satisfied with their support. 

The initial setup was very simple. I have been using Terraform as an infrastructure as code tool, and with Terraform, it's very simple. Within one day, I can provision the AWS Infrastructure as a Service tool and install our platform based on the cloud and data analytics. 

From a cost perspective, Amazon AWS is excellent. You need to pay for a license to use AWS, and the license could be cheaper, but in each of the cases and instances I've used AWS, there has been a good chance to save money. 

I rate Amazon AWS a ten out of ten. I usually recommend AWS because I have loved using this tool. Most of the time, I recommend it as a real-time information and patching service with Lambda. 

We use this solution for all modern application development and data-led processes as well as for building architecture, AWS Lambda and more scalable solutions for our clients on AWS cloud. I'm a practice partner of data analytics and AI.

This is a great cloud platform and scalability is an outstanding feature. It's very useful. 

I think the solution could be more user-friendly, like Microsoft products. They could include a lot more applications and make free resources available. I'd like to see more code application within AWS to build modern and good applications. A lot of cases we deal with need to write a lot of code in AWS and it would be helpful if there were designer functionalities.

I've been using this solution for six years. 

This is a very scalable solution. Most of the enterprises use AWS today, it's the number one cloud provider today. 

AWS technical support is good. They have a partner that provides us with technical support. It's managed either by AWS or by partner support, and it's good. 

Because the solution is on cloud, there's no real installation. You download to the cloud and login. When it comes to infrastructure positioning you need to have different teams. It requires some infrastructure support but it's fully managed by AWS. We plan to increase usage. 

Licensing options are either a monthly pay for use option or a contract option.

I would definitely recommend this solution. 

I rate this product a nine out of 10. 

We have, for example, a big analytical platform running on top of AWS. We have many Lighthouse projects in the digital space running on AWS. We have so many things running on AWS. We use it for storage services. We use it for computing services. Its use cases are really very broad.

The product is very easy to use. It's flexible.

It's the leading cloud platform in the world, and it has a very wide variety of services.

The product has a very good ecosystem of its own. 

The product has proven itself to be very stable.

The scalability of the product is great.

Technical support is quite helpful.

The solution could always be further improved on the commercial side of things. Amazon Web Services are not cheap. It would be ideal if it was less expensive for the customer.

We've been using the solution for a couple of years at this point. We're a good AWS customer.

The stability is very good. the performance is excellent. It doesn't crash or freeze. There are no bugs or glitches. Overall, it's excellent.

The solution can scale very, very well. If a company needs to expand it, it can do so without too much trouble. 

Currently, I would say, the number of end-users who use applications on top of AWS is only at about 1,000.

We do have plans to continue to use the product and to expand it in the future. We will be scaling it ourselves. 

We've used technical support in the past. We've been very happy with them overall. I have no complaints. they are helpful, knowledgeable, and responsive. 

There is no installation or implementation per see. It's a cloud service. You simply have to sign up.

The solution can get rather pricey. It should be more reasonable. It's our main complaint about the product - the total cost of ownership is just too high.

We aren't buying licenses, we are buying cloud services. 

We are an enterprise with thousands of applications. We have really a broad mix of infrastructure. We have a technology standard list of several thousand products. We use a lot of AWS services. We're a customer and an end-user.

As a cloud-based solution, we're always using the latest version.

I'd rate the solution at a nine out of ten. We've been very happy with it overall. 

I would recommend the product to other users and companies. 

We primarily use the solution for POCs, different experiments, or IoT devices.

The flexibility of the solution is excellent.

The ease of use is great. You can bring something up very easily and tear it back down just as easily. 

Our first system is about to be released. It's our flagship and it's going really well.

The solution scales up extremely well.

They're spinning up and going faster. Anything and everything would you ask for in terms of your feedback they take back and build it and the next thing you know the feature you wanted is available.

The product has a lot of new functionality.

There's always room for improvement, however, they're building out new products. 

The problem with AWS is you have to keep up with the technology. If you don't stay up to date with the technology and its latest changes then you won't know what to use in your infrastructure. For example, as soon as you finish building one thing, then they've already updated to something new. They're always continually updating, rebranding, and rebuilding. 

They tend to oversell before a product is ready.

The solution needs to have more security features continuously added to it.

It would be ideal if they could continue to build a more hybrid collaborative solution - something that allows users to be on-prem, on cloud, or wherever they need to be to build. I'm looking for more AWS to Microsoft (or AWS to Linux) authentication solutions.

There are a lot of management requirements. You need to manage every aspect surrounding the solution, and it can sometimes be a lot.

I've been using the solution for ten years. We've used it over the last 12 months. We have a lot of experience with the solution.

Every system has bugs and glitches, however, for the most part, I haven't had any problems with it. In maybe out of 10 years, I might've seen servers fail three times in my life. Their durability is almost perfect. The stability is excellent. You can rely on their product.

The solution scales up very well. You can easily expand to however big you like. There doesn't seem to be much of a limit. It's very easy to do so as well.

If you scale something up and if you already have your scripts, your JSON, your LAN, and scripts running, and it sees the joint unit, then it brings it right back down. For example, it only uses what you need. If you build in it according to AWS's best practices, then you have a lean mean machine. If you're using their best practices, you'll be fine. 

We are using the solution more for POC purposes, and therefore there are only three people on it currently.

I would them a nine out of ten as a rating. However, the problem we have is not with AWS. Rather, we don't allow them to touch our infrastructure. We've got a lot of security issues and protocols. It's not an AWS issue, it's the way the corporation is built, and that's due to the fact that what we do is highly sensitive.

We would need to ask for specific professional services if we did run into issues.

I have experience with Microsoft as well. 

The difference is that Microsoft is everybody's house and everybody's corporation. AWS is more for if you want to do something new. If you want to just test something new and if you don't have the money, if you just want to learn, you can do something for almost nothing. You can just spin up something and just spin it back down and pay zero. They're moving into what they call this Self-Service Arena now, so then that way you can start building infrastructure. For example, your developers or your designers can actually go in and have a space that they can play in. That's one of the problems that people have with development. People need spaces, where they can go in and build stuff to try.

The initial setup is not complex. It's very straightforward.

The pricing can be very difficult to determine due to the fact that there is so much selection.

We are an AWS customer.

We're using the latest version of the solution. It's always updated, as it's on the cloud and is constantly the latest.

I'd recommend the solution to others. We've been pretty happy with it in general.

I would rate the solution at a nine out of ten due to the fact that they're very flexible. They can be overzealous and challenging at times, however, they really believe religiously in their product, and you can go find many people that know how to use AWS. 

I've used it to create some internal projects for my organization, particularly for designing the infrastructure of those projects.

One feature I find most valuable is the easy deployment by using the channel model for  serverless architecture. Another feature I find valuable is the versatility of the service S3 because it allows you to give permissions to describe the users from their own accounts, from external users, or external accounts.

On the console, they used to have some shortcuts making this solution easier to work with, but now we have been dealing with so many problems on the console, and some of the options are not very useful in my perspective, so they should bring back those options that make things easier to run some of the services.

Most of the time the options are pre-selected, or you have to go with the default settings, but from my perspective, there are some services which are now more complicated to use than before.

An additional feature I'd like to see in the future is more integration with public repositories, though some use their own repositories for security purposes, but I think it'll be easier to deploy services through public repositories.

I've been using this solution for almost four years now.

This solution is stable. I've been using it for a long time and have only seen an outage in one of the regions. It's a good solution.

The scalability of this solution is good.

The technical support of AWS is very good. When I need something, they reach out to me fast.

The initial setup was straightforward. The complexity of the setup will depend on the number of services e.g. it's something that involves a lot of services, it could get complex, but for a complex setup, you could use things like transformation or Terraform because they will enable you to use infrastructure as a code to make it easier. There's a lot of things to configure.

Licensing of this solution is paid on a yearly basis.

I evaluated Microsoft Azure.

This was deployed on the cloud. I don't remember which version because I didn't deploy it. I was not the person running the project of implementing AWS, but I know the client used it, but I don't know which version.

It's not so difficult to use because there's a lot of tutorials.

I'm not completely sure about the number of AWS users in our organization. We have a partnership with them so we have some accounts, but we don't completely have our load on AWS. We are mostly on Azure. Our main server is on Azure. On AWS, we mostly have some internal projects and services, but most of the main load is on Azure.

We have a small workload on AWS. Sometimes we use it to deploy some of our best projects. We use it on some internal projects. It's a random thing so it could be 1,000 users or 50 users. I'll say approximately 200 to 500 users.

We don't require too many people for deploying this solution because our projects are proof of concepts. Up to ten people from different departments would be needed for deployment if it's a business requirement e.g. people from Approvals and Projects, etc.

As for increasing AWS usage, the organization sometimes thinks of moving some of the load to AWS because of good pricing, because currently, our main streams are on Azure, but it's not a sure thing.

I'm unsure if there's any additional cost aside from the need to pay the license annually because I don't directly manage it.

My advice to organizations looking into implementing AWS, especially if they're going to use it on a big scale, is to take advantage of AWS' organization model to make integration with their policies easier. It will also make administration easier for the different accounts, departments, and structure of the organizations thinking of moving to AWS.

I would rate this solution a nine out of ten.

We use this solution in our company and for our clients' companies.

I like the IAM, the directory, and the storage.

They should implement the command shell by default. As it is now, to open the console, you have to download the command application. When you compare with GCP, they have the command shell inbuilt.

It would make it more seamless for the administrator to include this. There are times where the machine is not connecting and you can't wait for the RDP because you have to create them quickly.

Building a shell directly from the console is a good solution. This is missing by default. there are ways that it can be done and integrated.

I have been working with Amazon AWS for six years.

Amazon AWS is very stable.

It is a scalable solution, but you can only scale-out. You can't scale up.

We have approximately 200 users in our company who are using it.

Technical support could be improved, they could be better. We don't get SLA with AWS.

They give us a specific time for a solution but they don't advise further. We have to check to see if the issue has been resolved. There should be an automatic email to notify us that the issue has been resolved, by default.

The need to work on proactiveness.

I also work with GCP and with Azure.

The initial setup is easy. It is not complex.

We have a team of 50 people who maintain all of our solutions. It's spread across the team to run 24/7.

The pricing is one of the best in the segment.

They have actually reduced their prices, with the exception of the MLD which has increased.

It's by design itself.

They have placed the pricing well for a reduced market.

I would rate Amazon AWS a seven out of ten.