Amazon AWS Reviews

Hands-on experience with more than five implementation projects, working on different projects that are related to cloud with different vendors. AWS features exist to make your life easier.

AWS provides full IaaS and PaaS for any company with a perfect price, with features that exist in this vendor I don't see in any other vendor.

• Lambda.
• Alex development edge.
• CloudFormation.

All of these features I've used heavily provide the best solution for any client.

• I would like to see Lambda (code storage management), which means being able to increase our code storage limit through support.
• Another example which is Simple Queue Service (SQS) event for Lambda: to be able to see support for SQS message events with Lambda.

Regarding to my work i am dealing with different cloud vendor all the time, but i never switch one solution to another.

AWS pricing Reasonable & affordable by any business size, Small, Medium or large. 

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The primary use case is that we run all our IT on it. The performance has been okay so far.

With the pay-as-you-go model, we don't have to predict future IT needs. We can just scale up as we want. That helps with a lot of agility in deploying stuff in our IT infrastructure.

• It's pay-as-you-go.
• It has a breadth of solutions for databases, data mining, AI.
• They release new solutions almost every quarter and you don't get that kind of innovation from an enterprise company.

The AWS documentation is written in a way that is not very intuitive. That's an area they can improve.

Stability is really good. We have not had downtime so far.

Ours is a new company and we decided to go with AWS right from the beginning.

The most important criterion when selecting a vendor is their ability to help us get started as soon as we can. From the time we decide to deploy something to the time when the application is deployed, we look at which vendor will help us reduce that time.

The initial setup was straightforward.

I think the pricing becomes a problem as the IT organization grows. They need to give better pricing when companies grow.

We looked at all the cloud platforms. AWS had more breadth in the services they offered.

Look for what is required to deploy the apps in your particular organization. For example, if it's AI-driven then probably Google is a better cloud to go after. If there are a lot of Microsoft applications or if developers or the IT staff were trained in Microsoft software, then Microsoft Azure is a better fit.

I would rate AWS an eight out of 10 because it helps companies get started fast.

IaaS, PaaS, and a wide range of AWS services, including Aurora Postgre.

We use this for two solutions that we provide to our clients.

• Channel Management automation
• Digital Lending Hub

We are an ISV. AWS helped us to dramatically transform our business model into a cloud based subscription service.

RDS (Relational database service), specifically Aurora. It offers durability, high availability, fault tolerance, and a high TCO benefit.

The rate of new services and features released by AWS has dramatically accelerated. AWS should provide even more support and engagement to accelerate adoption.

This tool is indispensable, and must be taken into account when designing. It is the best platform on the market today.

Our organization has benefited tremendously with Amazon AWS since its implementation as we race to find new digital marketing strategies.

• Cutting-edge design
  
• Ease of use
• Market adaptability
  
• Accessibility
• Creator guarantee
  

In the next editions, the use of this tool should be extended to Google and Apple operating systems.

Trends are stable in Amazon AWS.

No specifics relating to scalability can be given.

I have never used a tool like this, and since its implementation I have seen great results. 

The return on investment is positive in terms of short-term results. 

Before choosing you can read other opinions and opt for the best tool that has aesthetic value and focus that is on par with Amazon AWS.

I was evaluating other avant-garde options but none were better than Amazon AWS.

It is a platform of high quality and commercial versatility. It is of the best that exist in the market.

Our primary use case is a corporate web page with e-payment eCommerce and personalized functions for digital marketing and other functions.  

Rapid implementation using tools that I specifically know: Python Django Mezzanine and several other libraries are compatible with these technologies.

IaaS with easy management, but training is required in a more personalized way. There should be required free training from the vendor and more personalized.

More complete, specific training for many of the technologies, specifically with Python Django and the CMS (Mezzanine).

Our primary use case is to use the solution for running many relatively small instances for back office applications and various other business important applications.

It did not improve our organization.

There are no particular 'features' which stand out. 

The pricing could be adjusted to provide more advantages versus current on-premise solutions for business applications.

AWS is much too expensive compared to current on-premises solution for this type of work. AWS IaaS is a very generic service, which is extremely overpriced.  

Web server hosting of a simple LAMP setup using Linux, Apache, and MySQL. Quick, cheap proof of concept solutions. 

No need for an on-premise infrastructure. It provides immediate access to vast resources at a relatively low cost and allows for setting up cheap PoCs.

For testing, it is a cheap alternative to having to build your own labs.  Provisioning and resource administration include billing dashboards, which are very extensive.

Not enough experience to really comment on this. 

In some areas, more transparency on what is persistent towards novice users. 

In recent years, we have use AWS primarily for its serverless capabilities. It has the ability to scale up from one to 10,000 vCPUs for a few brief seconds. The vCPUs perform intensive calculations with deep learning (artificial intelligence calculations), which is not possible via traditional computing approaches.

AWS helped us reduce costs from CapEx to OpEx. Some of the introduced one-year and three-year reservations helped us reduce costs early on. With time, we learned how to minimize our at REST capacity, allowing us to scale up and scale down in near seconds. 

Serverless computing: This can be more cost-efficient just regarding computing resources than renting or purchasing a fixed quantity of servers, which involves periods of underutilization or nonuse. It can even be more cost-efficient than provisioning an autoscaling group, because even autoscaling groups are typically designed to have underutilization to allow time for new instances to start up.

Also, a serverless architecture means developers and operations specialists do not need to spend time setting up and tuning autoscaling policies or systems. The cloud provider is responsible for ensuring that the capacity meets the demand.

AWS Marketplace: Somehow Amazon associated their marketplace as a place to find images of various installs (preconfigured software) and was late in the game enabling and promoting SaaS-based solutions. Thus, the AWS marketplace has near zero awareness in the mind of the prospect to find solutions to various problems plaguing them. 

No stability issues.

No scalability issues.

They are mainly generalists without access to the operating system. As such, they can provide container level insights,not necessarily at the application level.

I have used AWS for the last eight years since 2010. Previously, we used various VPS, dedicated servers, and Amazon's solutions, which were crude but a promise for something beyond the traditional infrastructure options. 

It was straightforward.

No vendor team was necessary.

We are reducing costs year-over-year.

Much faster than other solutions at a super low cost.

One of the best-kept ways to reduce costs is to develop it on serverless technologies with AWS Lambda, SNS, DynamoDB, and S3. Business example: By deploying our websites on Amazon S3 instead of the traditional Apache web servers, we eliminated many of the compute costs. Our WordPress site is served by a static S3 bucket. One of the benefits of this is our sites are superfast, especially with CloudFront. CloudFront makes the S3 hosted sites available across the world in milliseconds, reducing network hops and costs similar to that of Akamai. 

Just imagine the headaches associated with Apache web servers, MySQL databases, and Nginx reverse proxies?