What is IBM Storage for Red Hat OpenShift?

IBM Storage for Red Hat OpenShift offers a smooth integration of traditional and container storage, making it easy to implement scalable microservices architectures suitable for enterprises. This solution has been tested in conjunction with Red Hat OpenShift, Kubernetes, and IBM Cloud Pak, which guarantees an efficient deployment and management experience. It features advanced data protection, automated scheduling, and capabilities for data reuse that are specifically designed for environments using Red Hat OpenShift and Kubernetes. Users can quickly deploy the necessary resources thanks to its support for block, file, and object data types. Moreover, IBM Storage for Red Hat OpenShift establishes a solid and flexible hybrid cloud infrastructure on-premises, delivering essential storage orchestration and infrastructure. In addition, the platform enhances container efficiency in Kubernetes settings by incorporating Container Storage Interface (CSI) support for both block and file storage options. This all-encompassing strategy equips organizations with the tools to refine their storage methodologies, driving both efficiency and scalability to new heights. Organizations can thus confidently embrace innovation while managing their data more effectively.

Integrations

No integrations listed.

Screenshots and Video

IBM Storage for Red Hat OpenShift Screenshot 1

Company Facts

Company Name:
IBM
Date Founded:
1911
Company Location:
United States
Company Website:
www.ibm.com/it-infrastructure/storage/containers/redhat-openshift

Product Details

Deployment
SaaS
On-Prem
Training Options
Documentation Hub
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

IBM Storage for Red Hat OpenShift Categories and Features

Integration Software

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Container Security Software

Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata

Container Management Software

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization