We are using Red Hat Enterprise Linux in the cloud, in the on-prem data center, and at the edge.

We are using Red Hat Enterprise Linux on-prem and on the cloud. We have it in Azure, VMware, and on-prem. We have it on bare metal. It is all over the place. Our operations are simpler, more efficient, and easier to handle. Our Linux team now supports one OS rather than a whole bunch of flavors that everyone has brought in. It has just made things more efficient and simplified.

We mostly have an on-prem environment. VMware is a significant chunk. We do have some Red Hat clusters. We do have clustered applications, both physical and virtual, running on the cluster. We do have some cloud. We have our own internal cloud with VMware running behind the scenes.

We are using Red Hat Enterprise Linux on-prem and on the cloud in a hybrid environment. We probably also have edge devices.

We use it on-prem and on the cloud. We use it in a hybrid cloud environment. We see it everywhere.

In terms of the deployment model used in my company for Red Hat Enterprise Linux (RHEL), I would say that the tool is basically deployed on-premises for closed environments and in the cloud because some of our company's customers prefer to deploy the product on the cloud.

My company has the product in two data centers, but the production happens only in one. Mostly, my company uses the cloud services offered by Azure.

My company uses Ansible as a part of the deployment model.

If a developer needs another VM, our company just provisions it through VMware, so we don't have a large-scale deployment model across different availability zones.

My company is deploying Red Hat Enterprise Linux (RHEL) from Red Hat Satellite.

In terms of the deployment model, I would say that my company has three data centers, mostly where VMware is used.

The solution is deployed on an on-premises model. If my company opts to have the product deployed on cloud, then we would opt for the cloud services offered by AWS.

The product's deployment model is usually in a single data center, and it consists of one machine at a time.

We are using Red Hat Enterprise Linux everywhere. We are using it on-prem. We call it the fourth cloud, so we have our own cloud like every enterprise does. They might realize that or not. We are using it everywhere. We have it at the edge, in the cloud, on-prem, and hybrid. It is the whole nine yards.

We have a small number of servers up in the cloud in AWS, and then most of our servers are on-prem. We have a data server. Red Hat Enterprise Linux has made the deployment of servers smoother. We can do that pretty much with the click of a button, especially using AWS's platform.

We are using Red Hat Enterprise Linux on-prem. We also have a cloud environment, but other teams are using it on the cloud. The cloud provider is AWS. The database team also uses Red Hat Enterprise Linux in AWS.

Red Hat Enterprise Linux is deployed on-premises on our virtual machines.

Red Hat Enterprise Linux is hosted in the cloud, but the use cases are for on-premises.

We use Red Hat Enterprise Linux to provide a Platform as a Service for our customers in the cloud, upon which we have built additional software.

I work for a consulting company, and we have many customers using Red Hat. They use it both on-premises and on the cloud for various applications, including enterprise applications and manufacturing certificates.

Our banking applications, primarily those focused on transactional data services, operate on Red Hat Enterprise Linux.

We use Red Hat Enterprise Linux for investment back-end applications.

We use Red Hat Enterprise Linux for model bases and websites.

Most of our tech applications are based on Red Hat Enterprise Linux.

Our Red Hat Enterprise Linux systems support specialized voice applications and telecommunications systems, which are integrated into the larger infrastructure.

We use Red Hat Enterprise Linux for Ansible, network monitoring systems, and similar applications.

Our memory-intensive applications run on Red Hat Enterprise Linux.

I am utilizing Red Hat Enterprise Linux for automated workloads.

Red Hat Enterprise Linux is a versatile operating system for many workloads, including databases, web applications, and infrastructure. It is a reliable and adaptable platform suitable for various computing needs.

We are running standard workloads such as Spring Boot, Node.js, React platforms, and Liferay on Red Hat Enterprise Linux.

Red Hat Enterprise Linux is primarily used for auxiliary workloads in our larger clusters, such as logging and automation.

We currently use Red Hat Enterprise Linux to support various applications, including web servers and databases. Its functionality spans numerous operational aspects, encompassing a wide range of tasks with the exception of AI applications.

Our containerized workloads utilize Docker and Kubernetes and run on Red Hat Enterprise Linux to support Final Shell operations.

We use Red Hat Enterprise Linux (RHEL) to run applications and databases related to the European Parliament's business. For example, we use SAP for financial operations. It's not my domain, but I know the leadership plans to implement AI workloads. We translate every document into 27 languages manually, but we plan to use AI and machine language translation.

We are a telco company hosting internal applications on the OpenShift platform. It's for general IT workloads, such as backend systems for billing. We are also using it for containerization projects.