Amazon AWS Reviews

With AWS services, we can focus on our products, and that makes our customers happier! Also we can provide higher SLAs for our customers.

I have been using almost every service on AWS for years. I'm trying to test every new service as soon as possible.

The main idea of using AWS is its ability to act so fast! We used to have servers on-prem data-centers. When you needed a new server/device/configuration, it could take hours/days/weeks based on the demand. Now I can have what I need in couple of minutes. That is amazing!

Of course there are other cloud providers, but AWS is far the best on both technology and stability. You can find cheaper providers, but you shouldn't risk your business just for saving some dollars.

AWS gives you chance to concentrate on your business and products which I believe is the most important thing, especially for start-ups.

Here are the services that I'm currently using on AWS:
EC2, ECS, Elastic Beanstalk, Lambda, S3, EFS, Glacier, RDS, DynamoDB, ElastiCache, Redshift, CloudWatch, CloudFormation,OpsWorks, VPC, CloudFront, Route53, IAM, Certificate Manager, ElasticSearch Service, WorkDocs, WorkMail, SQS, SES, SNS, and API Gateway.

These days, technology is changing every day and AWS is one of the leaders of this change. They are at least one step ahead of you, which is great. You can have new technology as soon as possible. I think in general there is no need for improvement. All I can suggest would be a cleaner designed console. I generally don't like the user experience of Amazon. It's not the best. You can see the same at AWS Console. I'd be happier If the design and the user experience would more simple. Sometimes I feel that there are lots of texts on the page which makes harder to find what you are looking for.

We have nearly 100% uptime using AWS resources which makes us provide higher SLA's for our customers.

I have never faced any issues with the stability. This is one of the reasons why I chose AWS. They are more stable than any other cloud provider.

The best feature for most of the users is scalability. You don't need to reserve lots of servers just for peak times! AWS is doing this perfectly.

AWS has great support engineers. There are several types of support packages. Based on your package, they support you in their SLAs. Until now, they helped me well with every single ticket that I've issued.

I've never switched to any other cloud provider, but I've tested nearly all of them. Testing all providers gives you a great chance to compare services. To be honest, most of the time AWS was better.

Creating an account from AWS web-page is straightforward. Everyone can easily complete the registration process. Some people are thinking twice when they've asked for their credit card, but this is the nature of cloud systems. You'll pay as much as you use. It's one of the aspects of having everything easy and fast.

If you can plan capacity for one or three years, you can use the upfront payment option which allows you to save up to 50%.

I'm testing every major cloud provider regularly. Other than AWS, I've used Microsoft Azure, Google Cloud Platform, and Digital Ocean.

AWS has great how-to documents and videos. You can use these materials. We are here to help them whatever they need on their cloud migration/usage. They can find detailed information from http://calico-technologies.co.... or they can send an email to info@calico-technologies.co.uk or to me.

The price point and ease of use are the most valuable features. The cost per GB per month has always been reasonable. 

It is easy to set up buckets and upload files using the AWS Console.

The ease with which you can move files from short-term (S3) to long-term storage (i.e., Glacier) via a dashboard. With the introduction of Glacier as a long-term storage option, having some type of function key to simplify the transfer of files between the S3 and Glacier environments would be beneficial and increase efficiency. Perhaps it could be incorporated as an option when using the S3 Service or Glacier service; i.e., a "Transfer to Glacier" and "Transfer to S3."

I have been using AWS S3 since 2007 or 2008.

We have not had any stability issues.

We have not had any scalability issues.

We previously used in-house data storage (HD and NAS).

The initial setup was easy and straightforward, as opposed to some other solutions.

I cannot speak to the licensing questions, but the pricing per GB/month is reasonable and competitive.

We didn’t look at alternatives, as it was the first cloud platform solution on the market at the time, at least that I was aware of.

There are a plethora of options, but it certainly should be given primary consideration.

We are doing our own custom development, which is run on AWS.

We have done a lot of work using Amazon AWS.

All of our deployments are hosted on the Amazon AWS Cloud. Because many of our client requirements are on AWS, we have our own AWS development environment, and then we use GitLab to migrate it to the client environment.

We write a lot of Lambda functions for various services, as well as serverless functions.

We use Amazon S3 to store a large amount of data and images.

We also use Amazon DynamoDB Database for many of our developments.

Many of these features are already available on AWS. We're just getting started, and we're still learning a lot.

The performance is good.

We would like to see if AWS includes any inbuilt automation. Also, we are very interested in AWS's AI/ML features, as well as IoT, AR, and VR.

We have been using Amazon AWS for the last couple of years.

The stability of Amazon AWS is good. We have not had any issues.

It is easy to scale.

In our company, we have approximately 20 people who are using Amazon AWS, on a daily basis.

We have a few issues in the beginning during the setup, but we were able to resolve them ourselves.

We are satisfied with the technical support.

The development is primarily on Python, Node.JS, and Java technologies.

The initial setup was quite complex at first, but once we got the hang of it, it was simple.

It took a week to complete the installation from scratch.

Because it is a cloud product, it does not require a lot of maintenance. We have CloudWatch and some alerts set up, which is how we manage everything, including utilization.

We completed the installation internally.

The pricing is fair. We don't have any issues with the pricing.

I was evaluating different ways to incorporate RPA.

I would recommend this solution to others who are considering using it. 

It's very scalable and serverless. We are only charged for the functions that we use. This includes Lambda, which is a nice feature, in my opinion.

I would rate Amazon AWS an eight out of ten.

Amazon AWS has a better portfolio. They have an impressive technology and service portfolio.

The invoicing procedure of Amazon AWS needs to be improved. It can be difficult to manage.

I have used Amazon AWS within the last 12 months.

The technical support of Amazon AWS is good.

I have used Oracle previously, and I don't see any difference between Amazon AWS and Oracle from the stability and availability point of view.

Amazon AWS is a bit more expensive than Oracle.

I rate Amazon AWS an eight out of ten.

Propension ML model implementation, so the tech stack involves ETL, storage and computation capabilities for model design, implemented solution also involves pipelines and events handler for automated runs

Development of the product has been consistent which is beneficial for data engineers unlike Azure which has changed a lot, causing them much confusion.

Amazon has a much better understanding of the workflow of data scientists and machine learning processes. This is seen by their SageMaker which offers different versions of the models to be used.

I think that the interface could be improved.

Additionally, they lack good connectors with services within other clouds. For example, it does not integrate well with Power BI which is a Microsoft service.

Sometimes, some of their services can be too complex/technical. It's almost like they tried taking a microservice approach meanwhile the users want a little more integration

In other words the multi-cloud approach is not robustly promoted as there is a noticeable difference in ease of use.

I have been using this solution for eight months.

just one event where the whole service was down, although im not sure if it was anticipated by the service due to not being the actual service administrator

very good, the tier we used is one of the most basic and still performed with no problems

never had experience with customer service or support

Neutral

pretty straight forward, although this project was 2nd one to be implemented on this cloud, so the customer company had already been up the adoption curve of the service

we provide the implementation as a consulting company soy neither in house or 3rd party as we are the 3rd party

If you are looking to implement Amazon AWS within your company, I would suggest finding someone that already knows some AWS as it has a harder adoption curve.

I would rate it a six 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 are essentially using a couple of virtual machines. We also use Amazon's transcoding services that convert video formats. We use it for internal purposes, especially for specific applications that it has. 

One of the most valuable features is that Amazon AWS has a lot of data centers and regions where we can position our virtual machines for leverage. Amazon AWS is also easy to use. You can quickly spin up something, use Explorer, building proofs of concept, things like that. Once the proof of concept is built once and we know how things are going to look from a production perspective, we try to move everything to the data centers. These features and the ease of use are the main reasons why we use AWS. 

There are no additional features I would like to see. All the features we require are already provided and we aren't looking for anything else beyond that. 

In general, the only feedback I have is about the startup programs they used to have. Startups would get a particular amount of credits so that people who are just starting their own business could export. This is no longer the case, but it was very good because it helped a lot of people start their businesses. Amazon should consider this again. 

I have been using this solution for three years. 

This solution is scalable. 

I have never needed to contact technical support. 

I previously used Azure. I was working for a company that used Azure CSP, but I prefer AWS. 

The initial setup is straightforward. I'm technically proficient and did it myself. 

I implemented through an in-house team. We're a small, boutique-type company, but we are proficient enough. 

In terms of price, there are less expensive options. 

We are using open source technology, so there is no licensing. 

I looked at Google Cloud also, but I still would prefer AWS. It has automation and scripts that we can leverage. People are familiar with AWS, so it's our top choice for public cloud. 

I absolutely recommend Amazon AWS to anyone who wants to start using it. 

I would rate Amazon AWS a 10 out of 10. That's the main reason why we're using it. 

Amazon AWS can be used for storage, networking, and for many of the services they have available, such as databases, new site launches, and quick deployments.

Amazon AWS has improved a lot on security and is very good. Additionally, You can integrate your own security into their AWS platform.

The reporting and analytics monitoring are very good features and we are using them extensively.

I have been using Amazon AWS for approximately seven years.

I have found Amazon AWS to be stable.

Amazon AWS is highly scalable.

We have previously used older servers solutions from Dell, HP, and IBM.

The installation of this solution is straightforward.

The amount of people we need for the deployment depends on the use case and what type of business operations you are running. You can start with one resource based on the requirements and you can add the people as you need them. The majority of the people you will need will be for DevOps and you can scale your team as per your requirements. You can start with one at the beginning stage but you could end up needing a hundred thousand people but this depends on the business growth and many factors.

The pricing model of Amazon AWS is very good because there is an option to pay for what you use only, you do not have to give any money upfront to use it. However, we have some instances where we are on a monthly plan.

When you compare Amazon AWS to Microsoft Azure, the pricing of both is almost the same. There are some instances when one is cheaper than the other in one area but it is difficult to pinpoint which one is cheaper because it depends upon a lot of factors, such as the use case. However, the overall price of both solutions could be reduced.

I have evaluated Microsoft Azure.

A lot of organizations are moving from on-premise solutions to the cloud. There are a lot of case studies already in the marketplace which you can go there and find case study solutions to your business requirements.

I would recommend this solution to others.

I rate Amazon AWS a nine out of ten.