What is your primary use case for Amazon AWS?

I use Amazon AWS for ERP implementation. My responsibility is to integrate our application into the AWS cloud and provide AI solutions to the infrastructure.

We use the solution for cloud service and analytics.

I use it to run our production workload.

We are using it for certain business applications.

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.

We utilize AWS to migrate our workload and host our services, effectively transitioning them to the cloud environment.

Amazon AWS provides a total solution and helps us to run applications.

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.

We build business applications for our customers using Amazon AWS in 15 different industries. Many of my customers use many cloud services together.

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.

AWS has a wide selection of technologies for various use cases.

We do have quite a lot of AWS deployments and clients in certain countries. We use it for spinning up environments, using infrastructure as code. We use it for disaster recovery and high availability for creating BMs for testing. Mainly on the service side, we use it for setting up environments and spinning up environments.

We're a native AWS customer and a provider as well. We have multiple solutions running in there, and we are also doing infrastructure as a code and infrastructure as a service. For example, we can offer you lower prices than the price that you would pay for an AWS instance because we are an official partner of Amazon. So, we are taking all the advantages of what we currently have with AWS. It is being used for ECM. In terms of deployment, from an AWS perspective, it is partly self-developed based on Terraform, and we are also using services like S3, S9, and all the things we have in AWS for DNS, but it is highly automated. When a customer comes in and says that they need an instance clustered with certain options and a certain amount of service, it's usually firing up one line of code, and then everything gets set up, including the infrastructure. We're working with its newer version.

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.

We use Amazon AWS to store and run cloud-based applications in the cloud, such as databases, virtual machines, and dockers.

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.

We are using AWS for storage for the database server and data.

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.

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

I use AWS for web services and platforms as well as a digital channel to buy my programs.

I've used it to create some internal projects for my organization, particularly for designing the infrastructure of those projects.

My company is a reseller of Amazon AWS. We have approximately 500 users. I am a multi-cloud engineer and I am certified with AWS. Our primary use case is to set costs and cost integration on the cloud as well as some databases.

While I cannot say for certain, I believe that we are using the latest version. We primarily use the solution to rent servers for storing certain commercial applications.

My primary use case was as a place to migrate legacy systems.

We are using the solution for our core applications and our core infrastructure.

Our primary use case of AWS, for most projects, is for hosting on AWS and developing locally, as well as testing some AWS environments. We are mostly using this platform from a developer point of view. AWS is our cloud platform by choice.

I am using it for enterprise warehousing. I am using it for web development, data warehousing, and also for building apps. I am using its latest version. In terms of deployment, it is a platform as a service.

We use Amazon AWS as a data platform.

We use it to host our e-learning platform. AWS is a platform, wherein they give you a virtual instance of a server. So there is no version per se. They just give you a virtual server. The other software we use is free. We use it for conducting our exams and everything. We use a free, open source software, which is not a commercial software.

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.

We use Amazon AWS for the services they provide.

I used Amazon AWS for a financial company.

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.

I was using Amazon AWS in the medical market in my previous employment.

As the solution is cloud-based, we always use the latest version. We use the solution for our web platform business needs.

We have migrated all of our on-premise production environments to the Amazon AWS cloud and we use many AWS services.

We use the solution for managed hosting of the connection servers of some of our clients.

We primarily use the solution for web hosting.

We primarily use the solution to host our control panel for our IoT devices.

AWS is part of our network, we provide services to our internal customers and we have 2,000 plus applications which sit on the VMs and different blade servers. It's a mix, we're using a hybrid environment. I manage the company network and security; we are partners with Amazon AWS.

We use Amazon AWS for website hosting, application hosting, and serverless computing.

I primarily use it as a cloud-based platform that's easy to scale.

We are using it for hosting some of our workloads. We offer managed services for our customers, mostly in the space of security in managed IT services, and some of these workloads are hosted on AWS.

I primarily used the solution more for a POC. The solution was primarily used for data lakes. However, my use case is more focused on getting the IDs up and running.

We usually use Amazon AWS to implement data lake solutions. We extract data from an AWS project that we implement, or we extract data from databases and centralize them with AWS components in AWS services. So, we create an infrastructure for our clients to consume their data. I like the components we use, like Amazon DMS or Database Migration Services, F3, and Amazon Athena. I think that these are the main components or the main services that we use.

We have just started to use this solution. We are using it for Amazon S3 Bucket.

We use this solution predominately to reduce the amount of effort we need to migrate to the cloud.

We are a product cocktail service company, and we deliver identity-based solutions that customers can subscribe to. The back-end infrastructure is hosted in AWS.

We use this solution for all modern application development and data-led processes as well as for building architecture, AWS Lambda and more scalable solutions for our clients on AWS cloud. I'm a practice partner of data analytics and AI.

We have, for example, a big analytical platform running on top of AWS. We have many Lighthouse projects in the digital space running on AWS. We have so many things running on AWS. We use it for storage services. We use it for computing services. Its use cases are really very broad.

We use the AWS Cloud service for storing company-related information.

We are using this solution for internet applications.

It's a powerful infrastructure as a service solution, IaaS. It offers compute resources, storage, networking, and databases to quickly create your cloud infrastructure.

We use this solution for our web application and we have around 20 users in the company.

Our use cases are essentially infrastructure provisioning for backend services. We also use it for environment automation. We use it for CIPD. So, this is like AWS Beanstalk. We use it for infrastructure provisioning, auto-scaling some of the container services as well, block storage, such as S3.

We are using it for File Transfer Protocol (FTP) services. We are using it for file transfers from the US to India via FTP.

We use this solution for the EC2, and IAM Management, and Lambda. I am using this solution to gain more knowledge, to educate myself.

We primarily use the solution to deploy our systems in the Cloud. It could be virtual machines, containers, and servers as well.

We are a hospital system provider. We use the solution in order to provide provisions to the hospital. The client didn't want to host on-premises, and therefore we are using this product.

There is a large list of products that are available in the cloud, from computing to mail hosting and server services that are available in the AWS cloud. They provide you with computing resources and IT services.

We mainly use AWS for migrating onto the cloud or for analytic services and machine learning.

We have migrated on-premises infrastructure for a customer to the AWS cloud with different workloads, such as Windows, Linux, Oracle, and SQL Server. It is a public and hybrid cloud deployment.

We use AWS for product development, testing, and storage management.

We use Amazon AWS as an IaaS Cloud for our e-commerce sites.

We're using the solution for version codes for various types of services. We also use the solution as a database. We use the platform to analyze data services.

We are a car company and we use this solution for our customers.

We have a financial services application that's a very broad purpose API set. There are rest APIs for executing financial transactions and maintaining financial data. We also have a series of applications built on top of that.

We host the service for customer products. Those services are utilized by different product lines, which can be used on AWS.

We primarily use the solution for POCs, different experiments, or IoT devices.

We use Amazon AWS together with MuleSoft's CloudHub, because CloudHub is an extension of Amazon VPC. As part of that, when we set up the infrastructure and everything, we will be interacting with Amazon products. And with big customers, we have data in the private cloud and within that private cloud we have the MuleSoft CloudHub which is connected through the organization's private cloud to a specific geographical AWS public cloud. Regarding security, we also have a number of layers there, too. As an example, we have seen approximately 300 ETFs developed for different areas, e.g. for United Arab Emirates and other customers. And the internal customers are also using AWS. All in all, there are approximately 10,000+ users who are using it, and things are going pretty well.

We run everything on AWS. You can run anything on this, such as web servers, application servers, and containers as a service.

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.

We use the solution only internally as a private cloud to store our files, our projects, and to keep our servers running.

I am a software developer and I have experience with several languages and technology stacks. Amazon AWS is one of the technologies that I work with. It's integrated with the solution that we have. It's a continuous integration and deployment pipeline.

We primarily use the solution for the infrastructure. We use it specifically for hosting the infrastructure and hosting our analytics database.

We are a software company and we use Amazon AWS as part of the solutions that we provide to our clients. The primary use case is an internet banking system. It is used in mobile banking, digital internet banking, and corporate banking.

We mainly use AWS, EC2, and RDS. We also use the BI tools and the data warehouse.

I have my own company, so I am not personally working with it. Rather, my team is working with this solution.

Most of our applications are installed on the AWS. The enterprise solutions are installed on AWS.

I am an AWS Certified Solution Architect Associate as well as a Certified Cloud Practitioner, and I am currently pursuing the development specialty. I mainly use AWS to develop cloud solutions for clients. As a Solution Architect Associate with focus on development, my clients typically ask me to help them personalize AWS services as they pertain to the client's business. For example, I will often work with AWS SQS queues, ETL jobs, APIs and storage, and other services offered by AWS in the cloud. Generally, my work has more to do with development rather than architecture, and other AWS services that I use include EC2, S3, Lambda, API Gateway, Amazon Connect, Alexa, DynamoDB, ECS, and EKS. My daily activities are essentially focused around implementing AWS services for clients who want to migrate their existing computing infrastructure to the cloud. For example, if a data center is on-premise, our solution is to bring that data center to the cloud. This kind of migration includes moving all the applications that a company uses to the cloud in progressive steps. We also work to enhance their applications with extra code and the advanced features that the AWS cloud offers, like Lambda for instance. The clients that I work with — which include large organizations like universities — also use cloud providers other than AWS, including 3Cloud, Google Cloud Platform, and Microsoft Azure. I, however, specialize only in AWS and Azure.

It has been useful for running virtual services for some of our internal applications. Some of the developers are using it for doing some kind of development work on robotics process automation or RPA.

There are different use cases. I have worked on backup and recovery, migrations, created new user accounts from scratch, security and compliance, PCI DSS compliance, and CIS benchmark compliance.

I'm a service provider providing services to customers. I'm using AWS as sort of a generalization. There are 62 products offered by Amazon on cloud-related services, which include EC2, includes Silverlight, it includes a whole bunch of different solutions, F3, EBS, so we've got solutions that we have to support for all of it.

We have been using AWS for our own product. We are not direct users. Rather, our customers are using our product, which is hosted on AWS.

The primary use case of this solution is for hosting your infrastructure.

We use several tools that are part of AWS, which are onboarded to our infrastructure. We have five or six EC2 instances that make up our AppDynamics component of the link. We are using Paperclip for restoring files, and we use other scripts as well. These are tools that we use from day-to-day.

We are providing a platform as a service to our customers, where we do not manage their end applications. We do not manage their end workloads, and we do not have visibility into what applications they are running. We are just providing them with hosting services.

We use this solution to deploy our products. Within our company, there are at least five people using this solution. Usually, they are technical people — some software developers and a couple of infrastructure managers. Whether we decide to increase our usage with this solution depends on our business development.

Most of our managed services are in Amazon Web Services. We also use Kubernetes clusters for some of the cases. We are basically on the cloud, and most of our clients prefer AWS as the cloud provider. Most of the solutions have been on-premises, which basically involves migration to AWS. We also started using a hybrid model because some of the clients prefer a hybrid cloud kind of approach, where they have an on-premises model and something on the cloud so that they can just connect their data centers to the public cloud.

Our primary use case is for cloud storage.

It is on the public cloud and we are using it for multiple purposes, including data storage and production.

We provide services to clients using Amazon AWS and I've also used it for our own applications.

The primary use case of this solution is to migrate our customers into the cloud, integrating all of their applications. In my previous organization, we moved some customers from on-premises to the cloud, and they are happy with the change.

We are a solution provider and we use this solution to host applications for our customers. Their use cases are related to legal and advisory matters.

We're building an application and host on Amazon. We are a startup company, so it's in a very early development stage. We're trying to build a particular application for multiple customers. The idea is if you have a VPC for each customer you can segregate each client with their own isolated environment. That's what we're building. We're going to build one application that can be personalized for each client.

Our primary use case is an end-to-end cloud solution and design.

Our primary use case for this solution is commercial cloud computing, analytics, and storage.

I use this product for hosting business applications like SAP on the AWS infrastructure. We have some new customers in Egypt and out of Egypt. This solution is magnificent.

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.

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

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

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

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