Amazon AWS Reviews

It is primarily for cloud hosting. If you're developing a solution for a customer who wants it on the cloud, then AWS and Microsoft Azure are two major choices. There are other providers too, but AWS is quite user-friendly.

We use AWS for scalable cloud hosting and computing services. We store all our customer data on Amazon EC2 Instances.

We haven't had any security problems, and Amazon offers automated vulnerability audits. This helps us test our solutions for vulnerabilities and show customers that our systems are secure.

Security, quick deployment, and scalability are the top three features for me.

Like every other customer, I'd suggest pricing is the one feature everyone wants AWS to improve. 

I have been using it for five years. 

It is a stable solution. 

It is a scalable solution. We've worked with about five customers so far. 

We haven't needed technical support.

Sometimes, customers ask for AWS solutions, but we offer choices based on their needs. Price and geographical preferences can influence their decision. Sometimes, the customers can go for a cheaper product.  We don't force them, but we make recommendations.

The quickest way to set it up is the most beneficial feature. We can set up resources quickly and scale them as needed, starting small and growing as requirements increase. That's very helpful. It saves us a lot of time. 

The initial setup is straightforward if you spend some time learning it. They're improving the user interface, which helps.

My team takes care of the implementation. They find it easy to deploy. We haven't faced any issues so far.

It's not very pricey, but it could be cheaper. There are other options like GoDaddy and HostGator.

There are various options, and some can be cheaper than paying a full license.

Read the documentation carefully before starting. Preparation saves time in the long run. For example, the ease of integrating different AWS services depends on your expertise.

Overall, I would rate the solution an eight out of ten. 

The use cases depend on the projects. The project that I am currently working on uses Rekognition heavily. It also uses S3 and EC2. My previous project was using it for the text-to-speech feature.

The ecosystem offered by the product has almost everything. A couple of weeks ago, I was trying to build a server with RabbitMQ for real-time communication in an environment. Amazon already has a service called Amazon MQ. We don’t need to configure the server ourselves because we already have one integrated into the ecosystem. It’s easy to install the server in our system. We can run it in ten minutes instead of waiting three to four days.

The initial setup is not easy at all.

I have been using the solution for six to seven years.

The solution is stable. I never had any issues with Amazon. It works all the time, 24/7.

I have contacted support. It was just a couple of calls. We weren’t able to reach the server. There was some issue at the country level in Iceland. The problem was not with Amazon specifically.

We will have to learn to setup the tool. Someone with no experience would not be able to do it. In some companies, there is a person that works only with Amazon. The person will be profiling the company to work with the service center infrastructure inside Amazon.

The solution should improve the pricing. The area that I work for is expensive. The product is cheap when we start using it. It provides AWS Free Tier. However, it is not the same when you work continuously with Amazon. We end up paying a lot at the end of every month. 

The pricing depends on the traffic because they charge by the traffic. They do not charge us based on servers. The price also depends on the services we use. It would be different if we used S3.

The product is not the best option for a small company. If someone is trying to use Amazon for the first time and already has an NPP running, they can use it. If someone has used Amazon, they would already know what they are going to deal with. The cost is a concern for me. Some people are trying to leave Amazon and are searching for other options. Overall, I rate the solution a seven out of ten.

The use cases of the solution depend on your project. The project I am working on right now is using Amazon Rekognition heavily, along with S3 and EC2. There are a lot of instances involving EC2. The last one involved using a text-to-speech, of which I don't remember the name, but that was the project's main goal. The use cases depend on the circumstance of your project, so it is not the same for all.

The most valuable feature of the solution is that they offer everything around in just one platform. They have almost everything. For example, a couple of weeks ago, I was trying to build a server with RabbitMQ for some kind of real-time communication in an environment where I was working. Amazon already has a service named Amazon MQ, because of which you don't need to configure your server by yourself since you already have it integrated into the ecosystem. It's easy to ensure that the server is there for your system without any issues and allows you to run it in seconds instead of three or four days.

Price is an area with a shortcoming in the solution that has a scope for improvement. Amazon can improve in some areas related to its pricing. Amazon selected the pricing plans, and I had to choose one. In general, it is an expensive tool.

It is cheap when you are starting with the tool since they have this free tier. However, that is not the reality when you really start working with Amazon since you will end up paying a lot at the end of every month.

I have been using Amazon AWS with different clients for six to seven years. I am a customer of the solution.

I believe that it's a stable product. I never had any issues with Amazon. I'm trying to remember, but I think that I have never faced any stability issues. It was working twenty-four hours and seven days a week all the time.

I have contacted Amazon's customer support. It was just a couple of calls when I was working in Iceland on a project, and the servers were not reachable. There was some kind of issue at the country level, not an issue of Amazon specifically. There was some issue with the solution in Iceland.

The initial setup is a thing that you need to learn. The setup part is not easy at all. Usually, in some companies, you have a person that works only with Amazon. You have one profile in your company just to work with the infrastructure services inside Amazon. You need a kind of specialized profile for that work.

The solution's pricing depends on your traffic since they charge you based on the traffic, not the servers. The price can go into many, many thousands depending on the traffic.

The price also depends on your services since, if you are using Amazon Rekognition or S3 with a low tier price.

Well, for a small company, normally, my advice would be that Amazon AWS is not the best option. If you are trying to use Amazon for the first time, it means you need a big project on your hands, and you already have an MVP running. If you are going to use Amazon for the first time, then you already know what you are going to deal with, so such people don't need my advice in that case.

The price is my concern, so I am searching for some other options to leave Amazon. It is not for quality-related reasons.

I rate the overall solution a seven out of ten.

I am impressed with the solution's EC2 EKS. 

The product should reduce carbon emissions. 

I have been working with the solution for ten years. 

I would rate the tool's stability an eight out of ten. 

I would rate the solution's scalability a nine out of ten. 

I would rate the solution's setup an eight out of ten. 

I would rate the product a nine out of ten. 

We deploy our core application and our integrations platform on AWS EC2 instances. Both applications contain multiple containerized Python Django applications, which need to scale with how often and how intensely customers use the platform. 

We need a secure cloud environment to support our new self-service API, allowing customers to hit our services from outside an outside service. AWS provides the security, scalability, and flexibility to make this happen.

We also store large customer files on AWS S3 Buckets.

Without AWS, our organization simply would not exist. Our entire tech stack is served on AWS. Thanks to AWS, we have been able to save money. Thanks to AWS, we have been able to save time and utilize technical resources in other ways. Other ways include building out the front end of our application as well as the back end of our application. Without AWS, we would have to hire network/server engineers, which would take away from our overall speed of growth.

We have found the Elastic Cloud Compute service (EC2) as well as the simple storage solution (S3) to be the most valuable aspects of the solution.

We deploy our core application and our integration platform on AWS EC2 instances. These applications contain multiple containerized Python Django applications, which need to scale up and down dynamically. They also need to be secure to prevent unwanted bad actors from using our AWS compute instances for malicious activity.

Finally, we find the S3 buckets to be quite valuable. S3 allows us to securely store large customer files without fear of them being compromised, changed, lost, or corrupted.

I am not an expert in AWS, nor do I work in the dev-ops department, so I might not be the best person to ask this question. It could be made cheaper. I know we spend a lot of money each month on AWS.

We have been using AWS since the company was founded in 2017 - about five years.

AWS makes deployment and management of infrastructure easier. We are using so many features, including Lambda, Elastic Beanstalk, Elastic Container Service, EC2 instances, and Landing Zone. We rely heavily on AWS, and we're constantly taking advantage of new features as they come out to see how they can add value to the business. 

AWS's containerization is the most useful feature for us. 

I'd like to see AWS implement consolidated billing for businesses operating under one group. We want to consolidate the functionalities but keep the billing separate. That is a challenge we've faced, and I feel it's something they can improve on. For example, maybe you have three businesses that are operating under one group, and you want each entity to have a separate bill for the respective workload that they're using. But in terms of technical expertise, you want to consolidate the technical support and function of the three accounts. That's an area where AWS is struggling.

I've been using Amazon AWS for about four or five years.

AWS is stable.

AWS is scalable. We're serving close to 7,000 or 8,000 end-users with it.

AWS support is good.

AWS is pay as you go.

We reviewed the main three cloud providers: GCP, Azure, and AWS.

I rate AWS 9.5 out of 10. I would recommend it. 

One of the most common use cases is people using the solution for hosting. Many people use it to backup their on-premises solution to the cloud. This is the most common use case I know of. 

The most valuable feature is the backup ability. Most people are used to one type of backup solution that they're using, but most of these solutions have features that make it difficult to transfer to the cloud. I know that Veeam now gives people the opportunity to backup some on-premises solutions to the cloud. This feature is something that a lot of people are looking for. 

I'm not an expert on the product, but if I had to suggest one improvement, I know a feature that would allow a person to back up his on-premise solution to the cloud directly with one click would be useful. This solution should be agnostic because sometimes a product that was backed up with Veeam is highly compatible with Commvault. I think it would be better if these backup features were agnostic. 

Viewing a build could also be improved. It's not easy to follow up on your consumption and see how much you're paying and how much you will be paying. Viewing the build could be more clear. 

I have been working with Amazon AWS for three years. 

This solution is stable. 

This solution is scalable. 

Two years ago, I was working on proofs of concept and I got in touch with their support. It was okay and they handled it. 

The setup process was quite simple. 

My company implemented through an in-house team. My company also provides the maintenance for this product. 

Amazon AWS is on the cheaper side, as their pricing is more competitive. There are no additional costs besides the license. However, Azure sells Microsoft licenses, so they have an advantage. 

I was aware of Google Cloud and Microsoft Cloud, but I chose Amazon because they have better products and more features. At the moment, Amazon is the leader in everything. 

I recommend trying Amazon AWS. You have nothing to be afraid of, as long as you're clear that you can handle your build. 

This product is suitable for any company, whether small, medium, or large. 

I would rate Amazon AWS an eight out of ten, just because there's always room for improvement. 

I'm not the developer, so I cannot judge the services provided by AWS, but we run our mobile banking application on AWS. Database-wise, it's heavily based on Elasticsearch, so this is probably one of the main features that we find most valuable. Aside from that, I'm not familiar with which AWS services we are using.

It's too early to say what needs to be improved, as we went live only at the beginning of this year. We started last year and went live at the beginning of this year, so it's still a work in progress. In terms of additional features we'd like to see, the one thing that comes to mind is better integration with Oracle. We have a lot of Oracle databases, and there is no other option to either migrate to PaaS, stay on-prem, or use Oracle Private Cloud. So better integration with Oracle is something we are looking into. It's the same story with AWS or Azure. 

We introduced AWS in production last year, so it's a relatively new development.

Setting up AWS was pretty easy. It was straightforward to set up, and it took us a year to develop and migrate our mobile banking solution to the AWS cloud. Our migration experience was quite positive.

The pricing of AWS was attractive for us, so that's something that's okay at least for this transaction-based system. However, we still have some concerns about more data-driven applications or those that involve a lot of heavy uploading and downloading. So our whole data warehouse is still something that would not go into the cloud because of the pricing model. So if you stayed pretty much in the cloud, that's fine.

I would rate Amazon AWS seven out of 10. We're really satisfied.