We use Amazon EKS to manage containerization within our microservices environment.

Amazon EKS is used in containerization, which means that you deploy any application and package it into its own miniature server. Then, store that application in an encapsulated form within a server which is an operating system, and keep it aside so that the repository recurses.

We deploy different solutions on the EKS cluster for our clients to use.

I use the solution for its microservices. I used the product in some of my personal projects for deploying applications. From an organizational standpoint, the product is useful for its microservices.

The main use case is Cloud and IT applications.

I use EKS as an application management system and a second application server. It's connected to Amazon RDS. 

I have clients that run on Kubernetes engines. 

We run all our microservices across the globe with Amazon EKS. We also use it for development, testing, and maintenance.

I use Amazon EKS for telco event monitoring.

Our client in the healthcare industry has multiple clinics and patients who use the solution to interact with their portal and insert patient details. Patient information is managed via databases created in the solution. 

We use this solution for containerization and push containers into the EKS or CI/CD pipeline in the DevOps pipeline. It's very easy and well-managed for autoscale as we can manage our node groups. In addition, we can tailor autoscaling to our needs.

It's a great service because we can do a lot of things using it. It's easy to create clusters and services in pods there.

So, the main purpose is to create clusters and services and define some pods there.

The solution can be described as a microservice, and it is also a fully containerized platform. The solution can be described as a stateless service. Amazon EKS can be a great solution for deployments since it supports autoscaling and keeps scaling as well. In my company, we only pay for the resources we use, and owing to such a concept, we use the solution in our company.

Amazon EKS is basically a model provided by Amazon that allows you to create and deploy multiple microservices and manage containers. Once the Kubernetes is installed, we can directly create the container, set up ports, and set up new services. We currently have Java containers running.

We have more than 500 people using this solution. We are on version 21.

We use Amazon EKS as an APM tool for the environment while migrating the monolithic architecture to microservices architecture. It helps us to test product functionality in a particular environment.

We have a service hosting platform, and we use Amazon EKS for hosting web services.

Our primary use case for Amazon EKS is for running production workloads. The microservices-based modules are broken down and then hosted using EKS.

Amazon EKS is for storage, services, and infrastructure. We have about 100 to 120 users on Amazon EKS right now. We'll likely expand by 10 or 15 percent in the next year depending on our customer needs. 

The product helps to create a new environment fast. 

We are using EKS for crypto exchange. 

Our primary case is using Amazon EKS with all of our data in our MapReduce, map clusters, and our data clusters. And from there, we just input the information using Python and do our analysis using that.

We use Amazon EKS to build integration projects and manage the infrastructure.  

I only use it to define multi-tenants and define infrastructure.

We mainly use EKS for containers. We use Kubernetes for scalable deployments.

We're using EKS because our customers requested it. They wanted autoscaling functionality. We have our own product, and we deploy it for our customers in Amazon cloud.

The containers are built, registered, and then kept in a repository at the docker site. Our IT department has an account there. From there, it's exposed and we use the Amazon template surveys and cloud formation template. Then, our IT team creates CFTs. The scripts are run, and the containers are deployed from there.

It's a hybrid solution.

We just implemented the acquisition project for our cloud application environment, and we implemented Amazon EKS.

Our client is doing some image analysis, and we need a robust system that won't go down during the image rotation, so we are using Amazon EKS. With this solution, our services will not go down during their work, and data will remain safe and available to the user.

I have tried to host the enterprise content management application of IBM FileNet on Amazon EKS. That's the main use case. 

We use Amazon Elastic Kubernetes Service (EKS) to manage our containers and to run and scale Kubernetes applications in the cloud.

Our main use case is when our client or the customer would like to have their service on AWS. When the client preference is AWS.

We use Amazon EKS for our proprietary solutions and applications. 

Our primary use case is for distribution computing.

It's mainly deployed on a public cloud.

Amazon Elastic Kubernetes Service (EKS) solution integrates AWS cloud with Kubernetes. Kubernetes is an open-source container technology that is popular right now. It has the ability to replicate applications for scaling.