HPE Alletra Storage MP B10000 is used for virtualization, database management, and primary storage in VMware environments. It supports VOD infrastructure, data center recovery, and backup strategies. Users benefit from centralized management, scalability, AI-driven analytics, and predictive maintenance but desire improvements in configuration speed, data classification, and sustainability services integration.
Its price seems okay for us. It is what we expect for this kind of storage.
Its price seems okay for us. It is what we expect for this kind of storage.
The HPE SN6000B Fibre Channel Switch is designed to meet the demands of hyper-scale and private cloud storage environments with its market-leading 16 Gb Fibre Channel technology. It supports highly virtualized environments and offers flexibility and investment protection, configurable in 24, 36, or 48 ports with speeds of 4, 8, 10, or 16 Gbps in an efficient 1U design. With a simplified deployment process and an easy-to-use point-and-click interface, the SN6000B provides low-cost access to advanced Storage Area Network (SAN) technology and scalable "pay-as-you-grow" options. It is available in six models, including Power Pack+ options and configurations for active and port side air intake.
The Oracle FS1-2 flash storage system, Oracle’s premier preferred SAN storage solution, delivers enterprise-grade storage capabilities that are optimized for flash media and coengineered with Oracle software. Using the Quality of Service Plus (QoS Plus) feature, the Oracle FS1-2 flash storage system places data across flash and disk storage to maximize performance, efficiency, and cost based on usage profiles and business priorities. The Oracle FS1-2 flash storage system takes application-engineered storage to a new level by providing out-of-the-box tuned storage provisioning profiles for Oracle Database and key applications, including Microsoft SharePoint and Exchange, and VMware support including VAAI. With the Oracle FS1-2 flash storage system, you can consolidate storage while achieving predictable performance for multiple diverse workloads in enterprise computing or multitenant environments.
