Amazon AWS Reviews

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 build business applications for our customers using Amazon AWS in 15 different industries.

Many of my customers use many cloud services together.

The most valuable features of Amazon AWS are the high level of capabilities, cloud-native environment, developer-friendly, intuitive interface, and automation. The solution overall is easy to learn from the resources available.

The customization could improve. However, it depends on the customization needed. 

To enhance its capabilities, Amazon AWS should improve its integration with other digital security platforms and solutions, especially those used by companies in domains, such as banking, financial services, and insurance. While Amazon AWS has its own solution, there are many other initial vendor companies that perform exceptionally well. Therefore, it is crucial for Amazon AWS to have better integration with those platforms and solutions, including how to host and integrate them with the rest of the Amazon AWS services. Although Amazon AWS has its strengths, it doesn't always work seamlessly for customers, making it a significant obstacle to migrating applications to Amazon AWS. Rather than focusing on developing new features, Amazon AWS could better serve its customers by supporting these existing solutions in the digital security space.

There are many excellent encryption solutions available, along with many other solutions. By supporting these solutions and offering easy integration, Amazon AWS can create a win-win situation for its customers.

I have been using Amazon AWS for approximately seven years.

When you have complex deployments, such as with more than two availability zones, there are reliability, and resiliency options that are complex to implement and expensive. Providing stability or more complex deployments is possible, but very expensive.

I rate the stability of Amazon AWS a nine out of ten.

We have more than 50,000 users using this solution in my organization. Everyone in our company is using the solution.

The solution is highly scalable.

I rate the scalability of Amazon AWS a ten out of ten.

The support provided by Amazon AWS is highly responsive. We have a strong alliance with Amazon AWS, and we regularly interact with their teams. They conduct knowledge-sharing sessions for us and keep us informed about new features. They are always available to support us. They have helped us from the inception phase of any large engagement up to providing help in troubleshooting some problems. They are extremely helpful.

I rate the support of Amazon AWS a ten out of ten.

Positive

I have worked with Google Cloud Services and Microsoft Azure.

Amazon AWS is known for building many industry platforms, and companies often look to all three hyper scalers to help them build such platforms on Amazon AWS. Large consortia of companies collaborate on such initiatives. However, Google and Azure are more interested in partnering with and supporting industry-level consortiums and technology initiatives, while Amazon AMS sees it more as an engineering capability and expects developers to build everything from the ground up. Therefore, Amazon AMS may need to adjust its approach slightly in comparison to its competitors.

The simplicity of Amazon AWS depends on the engineering processes implemented by the client's organization. Setting up these processes may take some time, but the AWS SDK provided by Amazon is helpful. Moreover, integration with other tooling is also necessary.

Once the processes and platforms are configured, the execution becomes automatic. This has been successfully accomplished in many engagements where pipelines are run for tasks, such as provisioning new infrastructure and making multiple releases.

For a business with a small deployment and with minor features needed the process of implementation can take 30 minutes and in some instances less than 15 minutes. However, if it's a large release with multiple features, including verifications, it can take up to one and a half hours maximum. The more features added the longer the implementation will take.

In comparison to Google Cloud Platform and Microsoft Azure, the database offered by Amazon AWS is relatively expensive. However, the database also offers rich features.

I rate the price of Amazon AWS a six out of ten.

If you compare Amazon AWS with other hyper scalers, such as Microsoft Azure and Google Cloud Platform, Amazon AWS is the most sophisticated cloud development platform.

The amount of people for the maintenance of the solution depends on the engagement we have with our customers. Some of our customers are sophisticated with modern infrastructure and can handle most of the maintenance themself.

The engineering team responsible for development also handles maintenance, upgrades, and support without any differentiation. However, some customers still follow an older mindset, where a separate ops team is responsible for platform maintenance and operations.

One approach is to have a centralized model where a team of 20-30 members manages all the applications, including operations and maintenance. Alternatively, a distributed model may be used, where four or five different teams manage different aspects. However, on average, the team size for the entire IT organization is typically around 20-30 people.

I strongly recommend this solution to others.

I rate Amazon AWS an eight out of ten.

I gave my rating of eight because the price of the feature is more expensive than the competitors.

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.

I work on the AWS - the AWS Lambda portions of the Amazon cloud.

It's a good cloud for beginners.

There is no downtime. The solution is reliable. 

Deploying resources on AWS is fairly easy and more secure than any other cloud. That's what our initial impressions are.

Amazon AWS is very lame in the sense that it's into some sort of beginner stage stuff. Most of our customers prefer Azure Cloud over AWS. Azure has lots of features, especially on the identity side. It has integration with the social media built-in plugins. It has integration with a plethora of applications. It has that sort of an ecosystem. Amazon, on the other hand, on most of the integration side, there are applications in Java or there are customer-specific applications and therefore we have to do the development. This is in contrast to Microsoft Azure, where we get the ready-made plugins.

Our experience is AWS should be preferred for the financial sector where there are not very many changes. It's more minimal changes that come into play on the implementation side. We recommend Microsoft Cloud to most of our customers, especially when they want quick implementation and there are a plethora of things to integrate the cloud with. 

With AWS, we feel it has a lot of improvement areas. It's a good cloud, however, if I compare it with Azure, Azure is more of a feature-rich cloud. 

The initial setup can be a bit difficult. 

I expect AWS to come up with more identity features. They should have a very robust identity federation system, like what Azure and maybe Google Cloud are offering. Identity has some sub-verticals, like single sign-on and multifactor authentication and federation with some on-premise systems like ADFS servers or LDAP directories. Those things are very difficult to configure in AWS. AWS should come up with more connectors and more robust and user-friendly IdAM systems so that we can reduce time. We should be able to implement our projects faster.

I've been using the solution for two to two and a half years at this point. 

In terms of stability, the first impression is whatever services we have provisioned in the AWS cloud, we've never caught any issues where we needed to reach out to the Amazon support team. There is no downtime, for example. There are no application crashes. We don't need to plan any high availability or disaster recovery for any of our servers. In regards to that, Amazon is doing a very good job of offering good performance and reliability.

We've never needed to solicit the help of Amazon technical support, In contrast, in the case of Microsoft, we definitely needed their help.

Right now we are working on three clouds actually, Azure, AWS, and Google and we have SAP Cloud in the pipeline as well.

The initial setup is kind of difficult. It's not just users going to Amazon and buying it from an Amazon account. You have to do a lot of configurations.

On a scale of one to five, one being easy and five being hard, I'd rate the implementation process at a four. 

We don't buy the clouds. We give them to the customers and our customers buy the tenants, the subscriptions. They are aware of the license documents with Amazon and the other cloud vendors. Once we have the subscription of a customer, we do the technical implementation.

We don't get into procurement or subscription renewals or product updates or anything like that. We are more on the technical side.

We were doing some research on Oracle Cloud. Whether we are going to build the practice on Oracle Cloud or not, that's the call that has to be taken by my leadership. 

My job role is as a Cloud Security Architect. I prepare solutions and I sell them to the customers. My work primarily involves working on identity systems. I primarily work on the identity federation side. You have identities and disparate sources, and we prefer to have a single identity source using federations and then we prepare solutions around it and sell them to our customers. Those kinds of solutions are the ones I work in.

My advice for first-time users is, if you wish to migrate your private data center to a private cloud where you have servers like VPN servers, radio servers, you have servers for your own applications, whether it's Windows, Linux, Unix, or ADFS, it's better to go for an AWS cloud. However, if you are looking for identity Federation or identity provisioning, then you need to go for a Microsoft Cloud. 

I'll rate AWS  at a seven out of ten due to the fact that it's very secure. It has very good migration categories for the on-premises servers and applications to the AWS private cloud. I can't rate it ten out of ten due to the lack of IdAM features I've seen, and AWS has less of a user base as it's not very user-friendly. This is where Azure scores a lot higher for me. It's very user-friendly and it's feature-rich, actually. If AWS can develop a more feature-rich offering, it will be on par with Azure.

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 use the solution in my company to use several services like ECS, EKS, and S3 while also making it easy to use its hosting services in our infrastructure. The solution is good for efficiently leveraging all the aforementioned services to host different products.

The cost of the product is an area of concern where improvements are required.

I have been using Amazon AWS for around six years.

The solution's stability is good. Stability-wise, I rate the solution an eight out of ten.

The product's scalability is good.

All the people in my company use the product. My company has engineers, software developers, site reliability engineers, and DevOps engineers who use the product.

The solution is used on a daily basis in my company.

For the purpose of scaling our company's operations, we host most of our applications on Amazon EKS. My company uses third-party open-source solutions for scalability purposes, so we are not completely dependent on Amazon AWS for autoscaling.

My company takes care of the problems related to the product. My company doesn't contact the product's technical support team. Though I have some previous experience with the product's support team, I haven't recently contacted them.

Previously, I worked with a tool on an on-premises model. I chose Amazon AWS since I wanted to use a cloud-based product.

My company is not dependent on Amazon AWS for deployment purposes since we use our own tools to handle the deployment area. My company uses Amazon AWS for the underlying platform but not for the deployment area since we have our own setup for it.

The initial setup phase may be pretty easy for those who learn to gain knowledge and expertise in Amazon AWS. At the initial stage, the product's users may look for more documentation on the tool, but I feel that the services under Amazon AWS are self-explanatory. I rate the product's initial setup phase a seven or eight out of ten.

I am a part of the team in my company that carries out the product's deployment in multiple regions.

The product's deployment process consists of a fully automated setup phase. Though my company had to be involved in a lot of engineering work in the initial phases, only around four to six members were required to take care of the deployment after the automation.

The solution can be deployed in around 10 to 15 minutes.

The tool is expensive.

As of now, our company does not need to leverage Amazon AWS for Amazon Big Data Analytics or Amazon Machine Learning. In the future, Amazon AWS can be used to leverage the benefits of Amazon Big Data Analytics or Amazon Machine Learning. Presently, my company plans to stick with the microservices model.

There is no need to maintain the product from our company's end since Amazon AWS takes care of the maintenance of the services the tool covers.

For cost saving, shut down instances when not in use and use spot instances while implementing step scaling policies. Doing regular audits, you will get to know what resources in your environment are leading to cost consumption.

AWS Global Cloud Infrastructure does not directly impact our company's application performance and availability. My company just consumes the services covered under Amazon AWS, after which we plan our application architecture. The impact is felt if Amazon removes support for some of its global products, as it may impact some legacy applications, but my company does not face many issues since we mostly upgrade such applications.

I rate the overall tool a seven or eight out of ten.

The product is easy to use. Its availability and support are its biggest strengths.

IAM must be made simple and straightforward. It is a little bit complicated compared to GCP.

I have been using the solution for three to four years.

The product is stable.

The product is scalable.

My company had signed up for professional support. We did not have any issues with support. It would be really tough to reach out to the support team on a personal level. For personal users, I rate the support a three to four out of ten. For professional users, I rate it a nine out of ten.

We are also using Google Cloud Platform. The choice of the product depends on people’s familiarity and their inclination toward using a certain product.

The tool’s pricing is reasonable.

I would recommend the solution. Overall, I rate the product a ten out of ten.

The solution is a critical part of modern retail architecture. There are as many as 3,000 different use cases, and each client uses it differently.

This video explains the whole microservice architecture of which AWS is a key player: (3) Microservice POS Design - YouTube Enjoy

It's been a while since I've looked at the AWS model, however, just at a high level, of course, being able to build a microservice architecture, that's the heart of modern retail. That's where they have to go. COVID has driven everybody to realize that's what you got to do. That's one of the key components of AWS. The cloud piece is a nice supporting concept and it's necessary to make the microservices features work and make the whole architecture really agile. That's a critical component of it as well.

Of course, being able to figure out how you want to coordinate services - that whole service management piece - is critical. You could have thousands of services and I'm pretty sure you'd just be overwhelmed due to the fact that you've lost track of everything and you're back to the way things were when you had the big monolithic models.

The stability is excellent.

The solution has good speed. It's very fast.

The execution is fantastic.

I haven't delved down deep enough into the solution in order to come up with an answer for what may be lacking.

The only real downside to AWS is they can easily shut you down if they want to.

Clients ask us "Well, what happens if I go and put this on AWS and they don't like me for some screwy reason and all of a sudden they shut me down, they've killed my entire company?"

While AWS often is at the top of my list to recommend to people, I always have to tell them, "Hey, you got to be careful because if they don't like you, they can shut you down in a heartbeat. And they can kill an entire company by doing that."

I've had a good understanding of how AWS works for a while. It's likely been about three or four years.

The stability is excellent. It doesn't crash or freeze. There aren't bugs or glitches. It's reliable.

The solution is extremely scalable. You can be a small company or a multi-billion dollar company and it will work for you. It's number one on my list of recommendations due to its scalability.

I've never reached out to technical support in the past. I can't speak to how knowledgeable or responsive they are.

I didn't actually set up an operating AWS model on my computer. Therefore, it would be difficult to discuss the initial setup.

I tell clients to use it, however, I don't go into building one on my own. I don't have a need for it here, and I don't have applications to run on it. In my case, it's more an architectural world rather than a physical world.

I work on the technology side, I don't work on the financial side. Therefore, I really don't have any clue how much it costs.

I'm just a consultant. I don't have a partnership with AWS or any other company.

AWS is a key part of the whole microservice cloud computing.

I would recommend the solution to other organizations.

However, if I'm a multi-billion dollar retailer and I need to depend on something, how do I trust a company that can shut me down on a whim? That's a real problem. That moves AWS down and it moves Azure up just on my recommendation list.

From a technology perspective, it's well-proven, it's extensive, it covers just about everything you want to do. That's what I talk about with clients mostly, is the technology side.

While I used to rate the solution ten out of ten, the fact that Amazon can just kill a company on a whim makes me lower my rating. Currently, I'd rate it at an eight out of ten. It's great in almost every way. However, a company needs to understand that AWS can kill your company in a moment if it feels like it.

I use Amazon AWS to host services for my clients, as well as creating SMTP services for them. These are the main two use cases. AWS offers a wide range of services, but I do not use them all.

AWS has a lot of flexibility, which is great.

Recently tried the boot on the desktop, which is where you create a virtual desktop, on a laptop for example. You provide this, and you can use a laptop on the cloud and have everything safe, without having to purchase an expensive laptop.

When I tried with another company, from Azure, which uses the same thing, that with the boot as desktop they had some work needed to make some changes to the AWS desktop. They are not as flexible or powerful as a platform as Azure on this subject.

Previously, they had great VoIP software that they used in AWS, and when I created an account, they didn't have the option to assign too many numbers, local numbers, that could be used for hosting.

In terms of improvement, they should try to give more emphasis to the VoIP system.

I have been working with Amazon AWS for the last two years.

You can deploy and create any number of virtual machines to meet your needs.

Amazon AWS is very stable.

When I'm setting up SMTP servers for clients. They use SMTP as the main platform, but for example, on their CRM, and to be honest, I never go back to that to check for any issues from the day one that I finish the task and provide everything to the CRM developers to proceed with the integration.

We have over 60 companies in our portfolio, and I would estimate that half of them use AWS services.

Going through the chats has left me a little disappointed. It's taking far too long, and I have to come back with questions. The reason could be that they have too many departments internally, so they assign a ticket from one department to another, and it takes a long time to complete the task and provide an accurate solution.

I'm using both Microsoft Azure and AWS at the same time.

I am a Microsoft Azure certified technician, and some of my clients have asked me about some potential within the product. Based on my research, I discovered that this project can be easily designed using AWS rather than Microsoft Azure. This is why I'm learning more about AWS. It is similar to that of Microsoft Azure, and I'm using it, that we can, say, shut down Microsoft Azure completely and then send all of my clients to AWS.

Half of them are AWS, half are Microsoft Azure, and sometimes there are internal IT departments, which need to follow this path, to create the architecture on Microsoft Azure or AWS based on their architecture.

They are difficult to set up. Before you can start using AWS, you must first read the documentation and learn a lot about it.

I would rate the initial setup a three out of five.

It is not very easy, and difficult to complete some of the tasks.

They have a pay-as-you-go subscription. You pay only for the time you use the service. By service, I mean that they are not frequently used by clients. It's the best idea because they are very expensive to them because if it's a small company and you have the option of pay as you go as a solution, it would be less expensive, and better for the company in terms of saving money.

However, if some large clients, for example, use AWS as a hosting provider and compare their prices with other hosting providers, other hosting providers are more affordable. 

I believe that a pay-as-you-go solution is very inexpensive, but not for monthly or fixed prices.

I am a partner and reseller.

I would advise them, before they use the account before they open an account with Amazon, to do their account around just to learn a bit about that solution and then start using it, because it will take a long time to understand how that platform works, how you're going to create a VM on there, how you can create an SMTP.

It is not a simple procedure that we point to and then follows some steps to complete. You must be familiar with information technology. You must have at least basic IT knowledge of a hosting site. This is a platform, and before they begin using it, they must check a number of things and understand how they will proceed.

I would rate Amazon AWS a seven out of ten.