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What is Red Hat Advanced Cluster Management?

Red Hat Advanced Cluster Management for Kubernetes offers a centralized platform for monitoring clusters and applications, integrated with security policies. It enriches the functionalities of Red Hat OpenShift, enabling seamless application deployment, efficient management of multiple clusters, and the establishment of policies across a wide range of clusters at scale. This solution ensures compliance, monitors usage, and preserves consistency throughout deployments. Included with Red Hat OpenShift Platform Plus, it features a comprehensive set of robust tools aimed at securing, protecting, and effectively managing applications. Users benefit from the flexibility to operate in any environment supporting Red Hat OpenShift, allowing for the management of any Kubernetes cluster within their infrastructure. The self-service provisioning capability accelerates development pipelines, facilitating rapid deployment of both legacy and cloud-native applications across distributed clusters. Additionally, the self-service cluster deployment feature enhances IT departments' efficiency by automating the application delivery process, enabling a focus on higher-level strategic goals. Consequently, organizations realize improved efficiency and agility within their IT operations while enhancing collaboration across teams. This streamlined approach not only optimizes resource allocation but also fosters innovation through faster time-to-market for new applications.

What is IBM Fusion?

Deploying applications on OpenShift with watsonx can be accomplished effortlessly through two flexible options designed specifically for hybrid cloud environments. The Fusion HCI System presents a thorough, out-of-the-box platform that supports the smooth operation of your Red Hat OpenShift applications in on-premises settings. With the capabilities of Fusion software, you can leverage any environment compatible with Red Hat OpenShift, whether it be public clouds, on-premises setups, bare metal, or virtualized systems. This solution merges hardware, Red Hat OpenShift, and essential data services, effectively eliminating compatibility issues and reducing setup time, which empowers you to launch containerized applications swiftly, thereby accelerating innovation and shortening your time-to-market. Furthermore, it simplifies the infrastructure and data services required for OpenShift applications, allowing platform engineers to oversee OpenShift from one central location, thereby boosting operational efficiency, optimizing resource allocation, and reducing both complexity and costs associated with operations. This makes it an excellent option for contemporary application deployment in diverse settings. Overall, the Fusion HCI System is not only about efficiency but also about enabling organizations to adapt to the fast-paced demands of the market.

Media

Media

Integrations Supported

IBM Cloud
Red Hat OpenShift
Amazon Web Services (AWS)
Ansible
Kubernetes
Microsoft Azure

Integrations Supported

IBM Cloud
Red Hat OpenShift
IBM Cloud Object Storage
IBM Cloud Pak for Applications
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM Storage Scale
IBM Watson
IBM watsonx
Red Hat AMQ
Red Hat Ceph Storage

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Red Hat

Date Founded

1993

Company Location

United States

Company Website

www.redhat.com/en/technologies/management/advanced-cluster-management

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storage-fusion

Categories and Features

Categories and Features

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