Target use cases

• Organizations using the GreenLake Portal to manage their infrastructure that will benefit from integrated data protection

• Protection of on-premises VMware and Microsoft SQL Server (new or existing GreenLake Portal users)

• Protection of AWS EC2, EBS, RDS and EKS services (new or existing GreenLake Portal users)

Target customers

• HPE GreenLake Portal users that want integrated protection of VMware and Microsoft SQL Server running on their HPE Storage

• VMware users that want a simple and efficient service to protect their virtual machines

• AWS users that want a simple and efficient service to protect their EC2 instances, EBS volumes, RDS databases and EKS applications

Key benefits

• Integrated with infrastructure management in the GreenLake Portal

• Simple with automated data protection and zero management time required for software updates

• Efficient with HPE Catalyst technology achieving up to 8x better storage utilization compared to other data protection solutions

• Secure with data encryption and data immutability for snapshots, on-premises backups and cloud backups

Target industries and market

• All industries

• Market segment:

– Midmarket and Enterprise Commercial GreenLake customers and prospects running VMware on-premises

– MSPs not targeted

– Although not excluded, not targeting existing Zerto customer base

Key use cases:

• Disaster recovery

• Operational recovery

• Cyber recovery

Key outcomes:

• Fast, simple recovery from any disruption from human error, natural disasters to ransomware attacks with Recovery Point Objectives (RPOs) of seconds and Recovery Time Objectives (RTOs) of minutes using the gold standard in DR technology from Zerto

• Simplified and seamless management on a single SaaS control plane for global multi-site management

• Reduced complexity by leveraging one vendor and one platform for DR alongside backup, storage, compute, and networking

Customer Pain Points/Challenges

• Need to improve backup efficiency and shortening backup and recovery times

• Need to improving availability

• Integrating deduplication and replication

• Protecting and automating remote office/branch office (ROBO) environments

Target Usecase

HPE StoreOnce is the ideal solution for customers:

• Who are looking for affordable balance of cost, capacity and performance for small data center, workgroup or remote and branch offices.

• Who require a secure, scalable data protection for their midsize data center and regional offices.

• Who want a highly scalable backup architecture that effectively handles issues such as rapid data growth and complexity while meeting ever-increasing SLAs.

HPE StoreOnce VSA is the ideal solution for customers:

• Who are looking for low-cost data protection for virtualized environments.

• Looking for centralized deployment capability for remote offices.

Have virtualized environments and need deduplication for backup, scalable capacity and set & forget backup scheduling.

Customer Pain Points/Challenges

• Customers who would like to free up more space on their primary or secondary storage arrays

• Customers who are looking to significantly reduce their data protection budgets but require data to be kept for long-term retention and compliance requirements.

• Customers who are concerned about ransomware attacks or natural disasters and want to keep a copy of their data offline.

• Customers who would like to invest in a tiered storage architecture using archive-to-tape as a low-cost solution to cope with data growth

Target Usecase

Reduce costs and lower risks, with offline copies to protect against all forms of loss/

Offload primary storage and drive down the economics of storing data by moving static and infrequently accessed data to a tiered tape storage solution

Keep records safe for internal governance and regulatory mandated data retention, immutability, security and discovery.

Create a secure, truly offline copy of your data behind an air gap to neutralize the impact of cybersecurity and ransomware threats.

Medical, Cloud, Scientific Discovery, Protecting HPC environments and supporting Big Data Analytics.