/storage-fusion

Backup and Restore Recipes, Helpful Utilities and Scripts like mirroring etc. for IBM Storage Fusion

Primary LanguageShellApache License 2.0Apache-2.0

IBM Storage Fusion

https://www.ibm.com/products/storage-fusion

IBM Storage Fusion is a container-native hybrid cloud data platform that offers simplified deployment and data management for Kubernetes applications on Red Hat® OpenShift® Container Platform. IBM Storage Fusion is designed to meet the storage requirements of modern, stateful Kubernetes applications and to make it easy to deploy and manage container-native applications and their data on Red Hat OpenShift Container Platform.

It is an advanced storage and backup solution that is designed to simplify data accessibility and availability across hybrid clouds. Companies can expand data availability across complex hybrid clouds for greater business performance and resilience. With the IBM Storage Fusion solutions, organizations manage only a single copy of data. They need not create duplicate data when moving application workloads across the enterprise, easing management functions when you streamline analytics and AI.

IBM Storage Fusion provides a streamlined way for organizations to discover, secure, protect, and manage data from the edge, to the core data center, to the public cloud.

IBM Storage Fusion is available as two deployments, namely IBM Storage Fusion and IBM Storage Fusion HCI System.

Documentation

Scope

This repository will host the following categories of artifacts that can be used with IBM Storage Fusion and IBM Storage Fusion HCI

  • Fusion Backup and Restore Recipes
  • Helpful Utilities and Scripts

Blogs related to IBM Storage Fusion

Watch out this space for tools where we can mirror images for IBM Spectrum Fusion and also validate the same.

Usage

Reporting Issues and Feedback

If you have any questions or issues you can create a new issue here

Disclaimer

Please note: All templates / modules / resources in this repo are released for use "AS IS" without any warranties of any kind, including, but not limited to their installation, use, or performance. We are not responsible for any damage, data loss or charges incurred with their use. You are responsible for reviewing and testing any scripts you run thoroughly before use in any production environment. This content is subject to change without notice.

Pull requests are very welcome! Make sure your patches are well tested. Ideally create a topic branch for every separate change you make. For example:

  1. Fork the repo
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Added some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request