Enhancing VMware Workloads with NetApp BlueXP

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Enhancing VMware Workloads with NetApp BlueXP

Unified Hybrid Multicloud Storage Infrastructure

Moving VMware workloads from on-premises to the public cloud often presents challenges such as replatforming applications and operational efficiency issues. NetApp's BlueXP solution offers a centralized hybrid multicloud storage infrastructure that decouples storage from compute. This enables seamless migration and data protection, reducing the total cost of ownership for VMware environments.

Migrating VMware Workloads Anywhere

NetApp BlueXP allows users to move VMware datastores, virtual machines, and application data across different environments. Through end-to-end migration orchestration, users can seamlessly bring VMware datastores and VMs from on-premises ONTAP clusters to the cloud using solutions like FSx for ONTAP, Azure NetApp Files, and Cloud Volumes Service. This ensures VMware workloads can run efficiently regardless of location.

Establishing Multi-layered Data Protection

To ensure business continuity, NetApp BlueXP helps in creating robust disaster recovery strategies for VMware environments. Users can protect VMware datastores and VMs stored in on-premises ONTAP clusters using solutions like FSx for ONTAP and VMware Cloud on AWS. Additionally, secure, cost-efficient backups can be maintained for VMware datastores and guest shares, ensuring data integrity and availability in case of outages.

Monitoring VMware Stacks and Data

With NetApp BlueXP, real-time monitoring and analytics provide complete visibility into VMware infrastructure, applications, and data. Users can access performance metrics and inventory information to optimize their environments. Dynamic topology analysis allows for immediate troubleshooting, and the ability to scan and classify datastores and VMs enhances data governance and privacy.

Optimizing VMware Total Cost of Ownership

NetApp's solution helps users align storage with performance requirements, adhere to best practices, and reduce costs. Storage can be scaled without increasing compute, and optimization features such as thin provisioning, data reduction technologies, and tiering to object storage help reduce costs. Users can adapt to changing performance requirements by seamlessly adjusting service levels.

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