Amazon AWS Reviews

The most valuable features of Amazon AWS are the EC2 instance for web applications with CDN Networks.

AWS Cloudfront is the official reference for the Global content delivery network (CDN) which significantly reduces latency or slow loading times.

There is a feature called Kinesis, which has to do with image processing. There are a few artificial intelligence tools that Amazon AWS should improve on.

I have been using Amazon AWS for approximately five years.

I have found Amazon AWS to be stable.

Amazon AWS is scalable.

The technical support has been challenging. I have found more tickets are being placed and the availability of the agents has been limited for some of the team members.

We selected Amazon AWS because it was the most mature at the time. It was the initial cloud provider. Then Google and Microsoft also came up with Azure and TensorFlow. TensorFlow is catching up with a few code web programming tools, and that is a point of interest as well as image processing.

In a future release, the solution could improve on the IoT integrations and API access.

The initial setup of Amazon AWS is complex due to how infrastructure is set up in different organizations.

For the initial 12 months, the solution is reasonably priced. On enterprise license contracts where you negotiate, have been reasonable too.

I would encourage the student package for someone who is starting out, they can get acquainted with the interface and the tools available.

I rate Amazon AWS a seven out of ten.

We are both a user and a provider of services to some of our clients. We are not official partners, but we provide regular services to set up our clients' infrastructure on AWS. We deploy their projects there with their own account so that we can hand over technical ownership whenever they need it. As a result, they can continue to provide their services to other consultants. we offer these services to set up their systems and their services.

We use Amazon AWS mostly for typical hosting for applications, some emails, queuing services, and databases most of the time.

I am not sure what features they'd like.

AWS has large community support. You are never stuck with anything if something doesn't work in time.

We don't have any issues for the time being, because I intend to use this in a limited, not exhaustive, manner. For the time being, we're fine with whatever we're doing.

The billing should be more competitive.

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

As AWS is online we are always using the most current version. We have some virtual machines that you create based on the version when you initialize them, but the services that you use on a daily basis are always the most recent version.

We have a limited number of users and use standard services.

There have been no issues. The support is good.

There are no issues at the moment.

We were hosting on bare metal servers. Then we moved on to VPS servers, which were managed by our technical staff. And now we're utilizing cloud services.

That technical management part for the multiple VPS, as well as for ourselves and our client, is taking a long time to maintain and everything. As a result, we went to manage services.

These are some additional options. I've seen that Azure has the best cloud dashboard, but the billing and other features are very difficult to use. The same as any other cloud service. The documentation is far superior.

The installation is straightforward.

Cloudflare and other services are developing more affordable solutions. They provide a much cheaper alternative to Amazon's S3 storage buckets. That's something that could be improved.

This should be comparable to the other options on the market.

Billing for cloud services can be difficult at times. In the VPS, you only have quota-based billing management, but in the cloud, it's as if every bit and byte and every I/O operation is metered, and your bills can be surprisingly high when you've published something that can attract a lot of traffic, which is one catch.

We researched Microsure and Google Firebase, but we are not using these solutions.

I'm not an expert. I don't have any advice at the moment, but whenever they're looking to host some applications, when there's a lot of traffic or bandwidth, they should think about it carefully. 

I would rate Amazon AWS a seven out of ten.

We use AWS for multiple purposes, such as developing APIs and API integration using API Gateway. We use API Gateway, Python Combinator, Lambda Glue, and ETL Process. We have used EMR for big data processing. If we need a tool for computing, we go with the Lamda DMS. There are many services available in AWS that meet our needs.

The feature that's most valuable depends on your use case. Elasticsearch is good for testing and DynamoDb for database applications. There are so many things I could name, but you have to go with the service that is right for the use case you are looking for.

AWS has room for improvement on the Kubernetes side. I would like to go a little deeper into the Kubernetes target, Elastic, inner system, and all that. The EKS, target, and all these areas need to be improved, but that is not my key area because I am mostly working on the application side. However, I sometimes still need to work with Kubernetes container management.

I've been using AWS for the last seven years.

AWS has "11 9s" service availability, which means the service is available 99.99999999999 percent of the time. 

I would rate AWS support four out of five. They're good. I can activate cases on the technical calendar through AWS development support. I've gotten a lot of support through AWS Blue. 

Positive

The deployment complexity depends on which template you're using: AWS Terraform or CloudFormation. It's easiest to deploy services via Terraform, so you can go with that. That is the most straightforward way, and you can do all automation within Terraform.

I rate AWS nine out of 10. Everything is moving to the cloud now, and AWS covers a lot of services, including computing, networking, storage, IoT, and management, and they are good in every way.

They face competition from GCP and Azure, but Azure is entirely a Microsoft stack, so people will go with that when they're working with Microsoft solutions. It is a little cheaper than AWS. In the end, the cloud you choose depends on the use case. It's up to the customer.

The customer can deploy their application on Amazon AWS instead of taking care of their infrastructure.

The most valuable features of Amazon AWS are ease of use, deployment, and short lead time. If you are using an on-premise solution, you need to wait for the hardware, and nowadays it is very difficult, the lead time becomes very long. We propose to our customers to use Amazon AWS because it is very easy, no need to wait for hardware delivery.

If Amazon AWS can offer more self-paced learning tools, on their website, on CBT,  it'll be easier for more people to familiarize themselves with their service. Especially when they are delivering new services from time to time. Educational tools that can help users familiarize themselves with their service. It would be great.

I know they have a Free Tier service, but they need to register their credit cards. Some of my colleagues have concerns. If the usage exceeds a certain value, they exceeded the Free Tier usage time and they will start charging your credit card. My colleagues forgot about the usage and credit card payments. They needed to pay for the additional amounts which they used on top of the Free Tier usage. If Amazon AWS could improve the free service model to be more user-friendly in a way of not using a credit card, that would be great.

For personal learning, you also need to register your credit card. You need to be careful or you will have to pay.

I have been using Amazon AWS for approximately two years.

Amazon AWS is stable. However, they have had a few outages but nothing very serious.

Amazon AWS is quite scalable. And they have a lot of auto-scaling functions for their VMs.

I don't have direct information of the support from Amazon AWS because sometimes we are relying on Amazon's partner, not directly contacting Amazon AWS support teams. We need to have some support plan with Amazon AWS, otherwise, they will not provide direct email or technical support.

The length of time and difficulty of the implementation depends on the scale and the complexity of the project.

For the implementation of Amazon AWS, having two to three engineers focusing on it would be ideal. Small to middle size companies, don't have dedicated teams or engineers for a particular service.

Amazon AWS is offering different pricing, and saving plans, it's very easy for a customer to consider the Amazon AWS service.

Amazon AWS charges based on the user usage and some software license, such as the OS are included in their monthly charge. The transparency is quite sufficient, the customer knows what they're paying for.

The usage fees are an OPEX and they are offered monthly or annually.

I have evaluated Microsoft Azure and Google Cloud.

I would recommend Amazon AWS to others.

Amazon AWS are the market leaders in the public cloud service and after them, we have Microsoft Azure, and maybe Google Cloud.

I rate Amazon AWS an eight out of ten.

We used Amazon AWS when we work on a lot of projects in different situations or scenarios. We have done migrations from on-premise to cloud computing, projects involving data analytics, artificial intelligence, and machine learning.

Many of our customers use the website application that is hosted by Amazon AWS.

We have many projects where we can resolve a lot of issues with Amazon AWS. It has given customers a lot of visibility with their data. Many customers do not know what they can learn from their data and I provide them with this using useful information using Amazon AWS. 

The Redshift features are very useful for large amounts of data. 

I have been using Amazon AWS for approximately two years.

The solution is very stable.

Amazon AWS is scalable and it is very important for our customers.

We have a lot of customers using this solution and our largest customer has approximately 16,000 users using the solution.

The technical support is very good.

The difficulty of the implementation depends on the project. We have a lot of very complicated and complex project which make the implementation more difficult. However, a small project can be very simple to implement. In general, over 90% of the project tend to be complex implementations.

We are on an annual subscription for Amazon AWS.

We create some processes to resolve some questions the customers have. They want to improve and have more visibility of their data, and how to extract information about their data. We help them with this problem.

Amazon AWS is the most important provider in the market. They have helped many of my customers.

I rate Amazon AWS a nine out of ten.

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.

You can design and customize solutions with AWS. It has so many options, including storage, computing, database, notification, and messaging solutions. It depends on what the application team designs. 

I like AWS for its scalability, reliability, and availability, and it's much more mature and user-friendly compared to some other cloud providers. The learning curve and time for deployment are also shorter.

Amazon needs to develop better tools for troubleshooting network traffic, application insights, performance, and even some aspects of integration mapping. I'm hoping AWS implements something like Azure's Network Watcher and a log analytics solution where a can pull logs from various services and present them in a single dashboard. I want to summarize the performance and usage of every service and application.

All cloud solutions are scalable. It depends on the design, but most of them scale well. There are tens of thousands of users working on the solution.

Amazon technical support is great.

Deploying AWS could be straightforward or complicated depending on the use case. If it's a simple application, you can deploy it within a day. If it's very complex and your team isn't experienced, it can take months.

The amount of maintenance needed depends on your application and how you define support and maintenance. Some staff will handle things internally and others will be responsible for the cloud applications. 

I would say AWS is balanced. Cloud solutions are not cheap, and the ROI could vary widely according to your usage.

The cost depends on the usage and applications. If you're hosting thousands of applications, you'll be paying tens of thousands of dollars. In addition to usage fees, you have to factor in the costs of development teams and the staff you need to support the applications. These are the three costs you need to kind of calculate to decide on the budget.

I would rate AWS 7.5 out of 10. There are a lot of options in this space, and Microsoft is also good. We are evaluating the data on each. We would rate Azure close to eight, so they're both great solutions. 

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.