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The Customer Intent Document (CID) is a document that captures the customer’s requirements and expectations for their HPE solution. It includes information such as the customer’s business objectives, technical specifications, desired outcomes, and any special requests. The CID is used by HPE to design, configure, and deliver the solution that meets the customer’s needs. One of the sections in the CID is the BIOS Settings section, where the customer can specify the UEFI BIOS settings that they want to be preconfigured at the factory in their new servers. The customer can choose from the predefined workload profiles or customize the settings according to their preferences. The CID is submitted to HPE along with the order for the solution. References:

HPE Edge-to-Cloud Solutions - Self-Directed Lab, page 10

BIOS Settings - Hewlett Packard Enterprise

 HPE SmartCID is a tool that enables you to document the customer requirements and attach them to the order for HPE Synergy solutions. HPE SmartCID allows you to capture the configuration details, such as the frame layout, the compute modules, the interconnect modules, the storage options, the network settings, and the firmware versions, and generate a configuration file that can be used for factory pre-installation and pre-configuration. HPE SmartCID also validates the configuration for compatibility and compliance with HPE best practices and provides a graphical representation of the solution design. HPE SmartCID can help you reduce the cost and time for installation and configuration and ensure a consistent and error-free deployment across multiple sites. References:  HPE SmartCID User Guide ,  HPE Synergy 12000 Frame Setup and Installation Guide ,  HPE Factory Express Integration Services

HPE SSET (Solution Sales Enablement Tool) is a unique configuration and sizing utility that stands out because it is a standalone Windows-based application. This provides a significant operational benefit to architects and sales engineers: it does not require an active internet connection to function. This " offline " capability is essential for working in secure customer sites, during travel, or in remote locations where connectivity is restricted or unavailable. While tools like OCA (One Config Advanced) and GreenLake Quick Quote are web-based and require constant server communication, SSET allows the user to design, validate, and generate a Bill of Materials (BOM) locally on their machine. It is particularly useful for complex solutions like HPE Synergy or Azure Stack HCI, where the architect might need to iterate through several designs during a client workshop without relying on external network access. References: HPE Solution Sales Enablement Tool (SSET) User Guide; HPE Sales and Architecting Tools Overview.

According to the  Advanced HPE Edge-to-Cloud Solutions , page 98, the following matches are correct:

Communicates key parameters between DCB-capable devices. = DCBX

Enables control over how much bandwidth can be used over a conventional link. = ETS

Helps to ensure that Ethernet can provide the lossless frame delivery of FCoE. = PFC

Provides instructions to CNA about application-to-CoS mapping. = APP

DCBX: Data Center Bridging Exchange Protocol. It is a protocol that enables the exchange of configuration and capability information between DCB-capable devices, such as switches and servers.  It allows the devices to negotiate and agree on the parameters for the DCB features, such as ETS, PFC, and APP 1 .

ETS: Enhanced Transmission Selection. It is a feature that enables the allocation of bandwidth to different traffic classes on a link, based on the priority and the service level agreement.  It allows the devices to control how much bandwidth can be used by each traffic class, and to avoid congestion and contention on the link 1 .

PFC: Priority-based Flow Control. It is a feature that enables the pause and resume of traffic on a link, based on the priority and the buffer availability.  It allows the devices to prevent the loss of frames due to buffer overflow, and to ensure the lossless delivery of FCoE traffic, which requires reliable and in-order transmission 1 .

APP: Application Priority. It is a feature that enables the mapping of applications to traffic classes on a link, based on the priority and the quality of service.  It allows the devices to instruct the Converged Network Adapter (CNA) about which traffic class to use for each application, and to optimize the performance and efficiency of the traffic 1 .

According to the  HPE GreenLake for Block Storage configuration overview , the following options are customizable for HPE GreenLake for Block Storage:

Choice of RAID Level: Customizable. You can choose the RAID level for each virtual pool of storage based on your performance and availability requirements.  The supported RAID levels are RAID 1, RAID 5, RAID 6, and RAID 10 1 .

Performance Tier: Customizable. You can choose the performance tier for each virtual pool of storage based on your workload characteristics and service level objectives.  The available performance tiers are Performance, Business Critical, and Mission Critical 1 .

Choice of Disk Size: Customizable. You can choose the disk size for each virtual pool of storage based on your capacity and density needs.  The supported disk sizes are 1.92 TB, 3.84 TB, 7.68 TB, and 15.36 TB for SSDs, and 1.6 TB and 3.2 TB for SCM 1 .

Availability SLA: NOT customizable. HPE GreenLake for Block Storage offers a built-in 100% data availability guarantee for mission-critical environments.  This means that HPE will ensure that your data is always accessible and protected, and will compensate you for any downtime or data loss that may occur 2 .

Network Interface/Connectivity: Customizable. You can choose the network interface and connectivity for each storage system based on your host and network requirements.  The supported network interfaces are Fibre Channel and iSCSI, and the supported connectivity options are direct attach, switch attach, and SAN 1 .

HPE Solutions for Qumulo is specifically designed as a high-performance, scale-out NAS platform that excels in managing massive unstructured datasets. A defining characteristic of Qumulo is its unique file system that uses a real-time metadata engine, allowing it to handle billions of files without the performance degradation typically seen in traditional NAS systems. It provides native, simultaneous support for SMB and NFS protocols. Furthermore, as an HPE GreenLake cloud service, Qumulo is available in a consumption-based model, allowing the customer to pay for their storage usage while maintaining the solution on-premises. While Cohesity and Scality offer file support, Qumulo ' s specialized focus on high-performance scale-out file data and its ability to handle " billions of files " makes it the superior choice for this specific workload requirement.

To verify the host-level specifications in the CloudPhysics report, one must look at the " Hosts " and " Memory " cards. The report indicates that there are " 2 Clustered Hosts " and " 0 Standalone Hosts, " for a total of 2 hosts. In the Memory card, the " Physical " RAM for the entire environment is listed as 511.75 GB. By dividing the total physical RAM by the number of hosts (511.75 / 2), the result is approximately 255.875 GB. This confirms that each host is equipped with 256GB of physical RAM. This calculation is a standard part of the " Analyze " phase in the HPE architecting process to ensure the current hardware profile is understood before recommending a replacement or expansion. Statements about CPU counts or HA failure capacity often require deeper drill-down reports beyond this summary view.

The Storage Assessment Foundry (SAF) Collector is the primary tool for gathering performance data from third-party arrays during a storage refresh project. When a customer has strict security or operational policies that limit the duration a foreign tool can reside in their environment, the architect can utilize the " fast mode " or a shortened collection interval. While a standard collection typically lasts 7 to 14 days to capture a full business cycle (including weekend backups or end-of-month processing), fast mode allows for a quicker snapshot of the environment ' s performance. The trade-off that must be clearly communicated to the customer is that the data will not be as granular or representative of long- term peaks as a standard collection. This transparency allows the customer to balance their security concerns against the accuracy of the final Alletra MP sizing proposal. References: HPE Storage Assessment Foundry (SAF) User Guide; HPE Discovery and Assessment Best Practices.

HPE GreenLake for Block Storage can handle traditional use cases that require high-performance, reliable, and scalable block storage for mission-critical applications.  According to the HPE GreenLake for Block Storage planning overview 1 , some of the use cases that can be supported by HPE GreenLake for Block Storage are:

Collocated VMFS datastore mounted from an Alletra 9080 and protected by Zerto : This use case involves running virtual machines (VMs) on a VMware vSphere cluster that uses a VMFS datastore hosted on an HPE Alletra 9080 system. The VMFS datastore provides fast and consistent access to the VMs’ data, while the HPE Alletra 9080 system delivers extreme performance, availability, and efficiency for the block storage. The VMs’ data is also protected by Zerto, a software solution that provides continuous data protection, disaster recovery, and backup for virtualized environments. Zerto replicates the data from the HPE Alletra 9080 system to another site or cloud, ensuring business continuity and data integrity in case of any failure or outage.

On-premises mission critical Oracle database backed by an Alletra 6050 : This use case involves running an Oracle database on a physical server that uses an HPE Alletra 6050 system as the block storage. The Oracle database supports mission-critical workloads that require high performance, availability, and security. The HPE Alletra 6050 system provides enterprise-grade block storage that delivers consistent low latency, high throughput, and high IOPS for the database. The HPE Alletra 6050 system also supports data services such as snapshots, clones, encryption, and replication for the database, enhancing its functionality and protection.

The other options are not traditional use cases that can be handled by HPE GreenLake for Block Storage. A containerized AI workload utilizing Microsoft Azure and an Apollo 4000 is a hybrid cloud use case that involves running AI applications on containers that use an HPE Apollo 4000 system as the storage. The HPE Apollo 4000 system is a big data and analytics platform that provides high-density, scalable, and cost-effective storage for large data sets. The containers are deployed on Microsoft Azure, a public cloud service that provides compute, storage, and networking resources for cloud applications. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A highly secure, air-gapped NFS share from an MSA 2062 is a file storage use case that involves creating an NFS share on an HPE MSA 2062 system that is isolated from the internet and other networks. The HPE MSA 2062 system is an entry-level storage system that provides affordable and flexible storage for small and medium businesses. The NFS share provides file access to the data stored on the HPE MSA 2062 system, while the air-gap provides security and protection from external threats. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A mainframe volumes provided by HPE XP8 storage is a mainframe storage use case that involves providing block storage for mainframe systems using an HPE XP8 system. The HPE XP8 system is a high-end storage system that provides extreme performance, availability, and scalability for mainframe and open systems. The HPE XP8 system supports mainframe volumes such as FICON, CKD, and ECKD, as well as open system volumes such as FC, iSCSI, and NVMe. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve HPE Alletra systems.  References:

HPE GreenLake for Block Storage

HPE GreenLake for Block Storage planning overview

HPE Alletra 9000 and 6000 systems

Zerto

HPE Apollo 4000 systems

[HPE MSA 2062 storage]

[HPE XP8 storage]

 To add HPE GreenLake for Block Storage to an existing HPE GreenLake account, you need to provide some basic information to the wizard-driven application in HPE GreenLake Central.  According to the HPE GreenLake for Block Storage Getting Started Guide 1 , you need to enter the following information:

Site contact info : This includes the name, email, and phone number of the person who will be the primary contact for the site where the block storage service will be deployed. This is required to ensure smooth communication and coordination between HPE and the customer.

Subscription term : This is the duration of the contract for the block storage service, which can range from 12 to 60 months. This is required to calculate the monthly billing and the minimum committed capacity for the service.

The other options are not required for the wizard. Reserved capacity is the amount of storage capacity that the customer wants to reserve for future use, which can be adjusted later. HPE customer ID is a unique identifier for the customer, which is already associated with the existing HPE GreenLake account. Datacenter address is the physical location of the datacenter where the block storage service will be deployed, which is already known to HPE from the previous HPE GreenLake service.  References:

HPE GreenLake for Block Storage Getting Started Guide

HPE GreenLake for Block Storage planning overview