The solution is used in our organization for container security. In our company, we have used OpenShift to create a base image using UPI and Docker images, which are available with Red Hat. The aforementioned UPI images have varying features, and you can use only the ones that are required. The images within the solution are more secure in comparison to other images distributed by Docker. The communication between containers in our company occurs through a unique subnetwork and the ports present in the cluster is divided for each node when the principal objective for each node is defined. The connection between microservices used in our company is called GRPC which provides enhanced performance, and there is also a layer embedded in the GRPC server to implement limited authentication in between connections. I have used Istio service mesh with the solution, which allows visibility into the connections between the containers. In our company, we have also used a distributed database so that we can establish a connection with the database for multiple instances and use it in different parts of the system.
Principal Infrastructure Engineer at a logistics company with 10,001+ employees
Real User
Jun 27, 2023
Basically, the solution is integrated OpenShift. Whenever we are installing OpenShift, everything will be using the orchestration of the deployment ports and will be taken care of by the underlying Kubernetes. It can be applied inside OpenShift.
Learn what your peers think about Red Hat Advanced Cluster Security for Kubernetes. Get advice and tips from experienced pros sharing their opinions. Updated: April 2026.
For use cases, the segmentation use case is the most requested by our customers. Also, monitoring the container's behavior is one of the aspects customers request when it comes to segmentation. The other use case would be monitoring and detecting any abnormal behavior.
Owner/Full Stack Software Engineer at Maraphonic, Inc.
Real User
Top 5
May 11, 2022
For the first step, you create the cluster the same way you specify the hardware underneath. On the cluster, you starting creating projects, which are like virtual spaces. There is a physical cluster where you install Kubernetes. You install it on the data center. Each team creates their own virtual space.
Red Hat Advanced Cluster Security for Kubernetes empowers organizations with robust capabilities in container security, vulnerability management, and workload transition, seamlessly integrated with OpenShift for optimal orchestration.Red Hat Advanced Cluster Security for Kubernetes stands out with its comprehensive features like authentication, authorization, and API integration. Users appreciate resource sharing, segmentation, and virtualization capabilities, all facilitated by a...
I use the solution in my company for vulnerability management, configuration management, compliance, safety handling, and everything else.
The solution is used in our organization for container security. In our company, we have used OpenShift to create a base image using UPI and Docker images, which are available with Red Hat. The aforementioned UPI images have varying features, and you can use only the ones that are required. The images within the solution are more secure in comparison to other images distributed by Docker. The communication between containers in our company occurs through a unique subnetwork and the ports present in the cluster is divided for each node when the principal objective for each node is defined. The connection between microservices used in our company is called GRPC which provides enhanced performance, and there is also a layer embedded in the GRPC server to implement limited authentication in between connections. I have used Istio service mesh with the solution, which allows visibility into the connections between the containers. In our company, we have also used a distributed database so that we can establish a connection with the database for multiple instances and use it in different parts of the system.
Red Hat can be utilized for anything, including OpenShift, Kubernetes, dev environments, automation, banking, and many IT industries.
Our use cases are for container monitoring and scanning.
Basically, the solution is integrated OpenShift. Whenever we are installing OpenShift, everything will be using the orchestration of the deployment ports and will be taken care of by the underlying Kubernetes. It can be applied inside OpenShift.
We use the solution to move workloads from monolithic applications to containers.
For use cases, the segmentation use case is the most requested by our customers. Also, monitoring the container's behavior is one of the aspects customers request when it comes to segmentation. The other use case would be monitoring and detecting any abnormal behavior.
For the first step, you create the cluster the same way you specify the hardware underneath. On the cluster, you starting creating projects, which are like virtual spaces. There is a physical cluster where you install Kubernetes. You install it on the data center. Each team creates their own virtual space.