Its set up is plug and play, so it improves the implementation.

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AWS's security model, including IAM or security groups, has contributed to our organization's compliance. It manages authentication, permissions, and overall security posture, which helps us maintain compliance.

AWS has made our lives much easier. It simplifies workload management and operations.  

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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. 

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We used to spend about $57,000 on-perm with another solution. Then we lifted and shifted to AWS. It came down in cost to about $33,000 while maintaining the same inner software with Apache Kafka. However, we then got into ECS Fargate, and that brought costs down further to about $22,000. When we removed ECS, we moved into a serverless Lambda for 45 million, and our billing is now $8000 per month. It's an amazing amount of savings.

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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.

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

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Remember, this is a plain vanilla platform. So we don't have to do any actual investment in servers and other things. That is the general advantage of cloud that everybody gets. You don't have to pay a lot of money. And at any point, if you feel you don't want to use it, you stop. It is as simple as that.

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AWS has improved my organization by:

- saving us time, cost, and difficulty by allowing us to use serverless services

- enabling us to assemble complex applications with the minimum of boilerplate and plumbing

- allowing us to pay-as-we-go, so we can rapidly prototype, test, and then deploy to a production application setup

We can run advanced demos with our own data very quickly, showing potential clients the value of our services when we assemble apps for them.

We can show customers clear cost benefits and clearly effective solutions when assembling AWS services together. 

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The benefit to the company is immense financial savings and the fact that you're able to see your monthly costs before buying anything. The AWS monthly calculator enables you to select your database, servers, volumes, and see how much everything will cost on a monthly basis. You can figure out what you'll be paying, so it enables a comparison; it's usually a third to half the cost of using an on-prem system.

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The fact that we as a startup don't have to invest in expensive hardware and a place to house it is very helpful for our small business. It saves us money in the long run in overhead costs and allows us to stay streamlined. There's no heavy investment on the outset and we're really just renting the exact amount of what we need.

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In the era, we used private clouds as network virtualization must be controlled by the IT division, server rooms were in the remote branches and DevOps were distributed in various areas. Now, we can use the same API and the same workflow without considering to centralize the logs.

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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.

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At this point, we have been testing applications that are managed by third-parties. The benefit we see at this stage is mainly cost. We are now starting to see the benefits that the platform has to offer.

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Application development and migration form On-Premise to Cloud

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It helps us by saving money. Having a physical server on our premises is, of course, quite expensive as compared to building an EC2 instance in the cloud.

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Because of the stability and scalability AWS provides, our team can now focus on how to engage and delight our customers instead of constantly being fixing production issues.

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Here is an example of how AWS has helped one of our clients: With Amazon Connect, we can track all activity in the past and in real-time, so we can know how many calls are in progress and if there are any problems. With a student payment system, for example, if a student has a problem because their credit card was rejected, we're able to trigger an SMS notification to somebody so they can contact the student to make a payment with a different form.

The university is thus able to offer a streamlined payment service with automatic fallback options (e.g. receiving payments with a card reader in person) and all of this is automated thanks to AWS Lambda, which lets us handle customized metrics automatically and in real time.

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We have seen an improvement in our infrastructure, as the code makes it very easy to deploy quickly to AWS.

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AWS has reduced our costs and maintenance requirements. It also allows us to control our load in peak times and automatically increases or decreases your capacity as required. 

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AWS aligns very well with agile and DevOps practices, as well as and cloud-native principles like infrastructure as code. In short, it helps me deliver my product faster to market.

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Migration of On Premise Data Center to AWS to allow cost optimization, and full operational automation to focus on experimentation and innovation.

Cross account possibilities for a big IT organization (user management, resources management, etc.).

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For one of the clients I worked with, it has provided excellent storage solutions and infrastructure for deploying Java and PHP based applications.

It has helped reduce the cost by rationing the computing power and paying only on a per usage basis, instead of provisioning unneeded, idle, or unutilized computing power that is used only at 20% of its capacity or time.

Additional funds saved can be used to develop applications that add value to the business. Also, its features, such as auto-scaling help to manage capacity automatically.

Another feature that we are fond of is the Cloud Formation tool. It helps to test and develop a working technical environment and replicate and modify it as necessary across various regions, clients, and business units.

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Everything is moving into the cloud and AWS is the leader. Not understanding puts a person behind.

I've worked with charities so the ability to host a static website in an S3 bucket at very low cost is great. Also, the ability to scale up and down, depending on project and funding status is ideal for the charity sector.

Glacier storage means files that need to be kept for legal purposes (7 years) - but accessed infrequently - can be stored cheaply in Glacier.

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Flexible fast way to bring up servers and network infrastructure with variable costs.

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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.

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The most valuable feature of AWS is that you can scale it up and down as you need. The environment is a rich playground, and if you tried to do the same things on-premises that you do on AWS, it would be a lot more challenging to execute. You can open up a virtual machine on AWS, run some experiments, and be done with it. It's much easier than buying new servers, provisioning them, etc. 

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

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AWS sitting at the core of our service, and we have been able to provide an amazing number of features, that were otherwise very expensive, and labor intensive to put in place, these include high availability, business continuity planning, disaster recovery, among others.

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You can build and release applications quickly with AWS instead of waiting for months to get the necessary hardware. That's the real benefit. The time-to-market for developing applications is much shorter. 

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Customers don't need to calculate what their future requirements need to be. They can start using Amazon AWS no matter what the requirements are and if they increase size it can support them. By using the solution they can reduce their infrastructure, which helps them reduce the cost and of their infrastructure.

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We were not a "born in the cloud" company. Our email server solution was first deployed as on-premise, then as a hosted service on bare metal in a data center and then has been ported to AWS.

The main reason to move from hosted bare metal to AWS was the flexibility in adding storage on demand. However, as we worked with Amazon we realized that it could help improve the scalability and availability of our SaaS offering with the other Amazon services.

Using AWS services has allowed us to have a more atomized architecture, which is allowing us to build scale into each service.

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I have been providing consulting services around the cloud solution for the past four to five years, during which AWS was the market leader and the de facto cloud service. AWS definitely helped me to help my customers adopt a cloud strategy smoothly and in a timely manner.

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I needed to stand up a prototype server that did not conform to my corporate IT standards. By using AWS I was able to stand up my prototype in a few hours, run my demo and be done. View full review »

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

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

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It allows us to deploy a production environment using Oracle Database, an API integrator, or by using our development tools. 

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Enables fast prototyping, simulation, and rapid deployment of infrastructure configurations. Has low risk exploration of new architectural paradigms and technologies (FaaS, Containers, IoT, and Machine Learning) and is easy to integrate with current solutions.

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One example is our devops people can provision new products and systems almost immediately. They have set up an instance of GitHub Enterprise which has become our "source of truth." We have created proofs-of-concept in hours to days to test and evaluate new products across the enterprise. We have been able to leverage the agility of AWS to work faster and, in some cases, "fail fast" so we can get on to the next thing, which works. View full review »

We have used Amazon AWS for a very large scale of server deployment. Also, we have run some tests using resources from AWS EC2. We don't have to go out investing for that resource, we just use them for a short period of time and we pay only for that usage. It has helped us scale quickly, and save a lot of money instead of buying those services.

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We are dependent on AWS 100%, and it has definitely improved our organization.

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Before AWS, the time for availability of a new server would be more than a week, and currently, it can be measured in minutes.

Failover also wasn’t easy to configure and wasn’t safe.

It has helped our engineers to improve our performance both financially and in terms of traffic generated.

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We never assumed we would implement our system outside the cloud. AWS has several features available that we still have to try. The improvement is going to be done step by step, including each feature, one at a time.

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As a service vendor, we have helped clients to achieve faster "go to market" on their products, and have provided highly flexible cost-effective system management solutions.

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More than 30 BBVA Group web pages are working without servers, saving costs and reducing security problems, with AWS services like CloudFront, WAF, S3, Lambda, SQS, and API Gateway.

All our infrastructure is defined in JSON files, thanks to CloudFormation, which makes maintenance and creation of new clone environments easier.

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

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

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AWS has improved our organization by driving efficiency in our product development cycles.

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

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• Management of code and assets has become extremely simple.
• Faster development time.
• Applications are extremely scalable.
• Round-the-clock monitoring ability.

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Yes. It allows us to cheaply experiment with lots of different setups, evaluate prices and business ROI, and rollout solutions effectively. View full review »

In our company, Amazon provides us with a lot of help like training for our staff. They always support us with any service or any solution. The security updates is perfect. and also supports for customers.

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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.

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Amazon AWS has improved our organization. It has all the features which we need. We can spin up the server anytime and have root access to it. We built our website and hosted the Amazon server. We also set up the RDS database, which has the capability to help the MySQL queries. The user interface is very user-friendly, and you can assign Elastic IP anytime. Overall, this is the best IaaS for hosting the website and the database.

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Among other benefits, one salient benefit for many Pythian customers is the option of spinning up a new instance whenever needed. This can be done with a few clicks.

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It improves the speed for us to access vendors, etc. AWS is extremely slow over the internet. Where we have GigE fiber over dedicated OC48 links, and when ping times to Dallas, TX from San Francisco is 30ms RTT on average, AWS is always 20ms higher. To AWS East, it is 70-110ms RTT, and the data transfer almost seems throttled. So I spun up an instance, made a BRAS image, like how DSL customers access the internet, and set up a peer with AWS to transfer data privately, then publicly from our instance to the AWS IP of our vendor, or partner and it has improved response times dramatically. The average API access latency was 250ms, horribly slow - already authenticated, etc. 

We also use it for our Amazon Seller Account and Amazon Vendor Account, where Amazon's systems run. Amazon recently moved their systems to CloudFront, but AWS DNS is awful slow. So the BRAS helps with the DNS as well.

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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.

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You can migrate complex environments to AWS Cloud reducing costs, improving performance and scalability.

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It gives us the time to check.

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Currently I'm using the product for learning purposes.

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It did not improve our organization.

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We use this product to build our products and services, which is what we sell.

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Deploying to the elastic cloud is much easier now with AWS. This makes the go-live process easy.

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Rolling deployments, quick time to market;

From one day deployment time, it came down to 15 minutes.

Easy provisioning means quick time to market when a new environment is required.

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