The Welcome Center is a web-based portal that provides customers with a guided and simplified experience for setting up and managing their HPE Alletra 9000 storage systems. The Welcome Center helps customers to plan and prepare for the hardware installation, enable cloud management, discover and initialize the storage system, and access additional resources and support. The Welcome Center also provides a checklist of the tasks and requirements for each step of the implementation process, such as network configuration, site preparation, cabling, and power. By using the Welcome Center, customers can ensure that their site is readyfor the implementation and avoid any potential issues or delays. References: https://support.hpe.com/hpesc/public/docDisplay?docId=a00113699en_us &docLocale=en_US

HPE Cloud Bank Storage is a feature of HPE StoreOnce Systems that enables cost-effective and secure long-term retention of backup data in the cloud. It integrates with HPE GreenLake backup solutions to provide a flexible and scalable cloud storage option for customers who want to optimize their backup costs and simplify their operations. HPE Cloud Bank Storage supports multiple cloud providers, including AWS, Azure, Google Cloud, and Scality. It also provides deduplication, encryption, and compression to reduce the storage footprint and bandwidth consumption of backup data. HPE Cloud Bank Storage is compatible with various backup applications, such as Commvault, Data Protector, and Veeam. References: HPE GreenLake - Edge-to-cloud platform | HPE, Edge to Cloud | HPE GreenLake | HPE EUROPE - Hewlett Packard Enterprise, Edge-to-Cloud Data Protection: HPE + Veeam Solutions, HPE Edge-to-Cloud Solutions | H61X1S - Hewlett Packard Enterprise

 HPE GreenLake for Private Cloud Enterprise is a cloud service that delivers a fully managed private cloud experience for bare metal, containers, and virtual machines in your private environment1. It offers a public cloud-like operating model with pay-per-use pricing, self-service provisioning, and consumption analytics1.

One of the financial key performance indicators (KPIs) that you can show via GreenLake Central, the online portal for managing and optimizing your HPE GreenLake services, is metered charges. Metered charges are the actual costs incurred by your usage of the HPE GreenLake for Private Cloud Enterprise service, based on the resources you consume and the service level agreement you choose2. Metered charges are calculated and billed monthly, and you can view them in real time via GreenLake Central2.

Metered charges are an important financial KPI for a CFO, as they reflect the value and efficiency of the HPE GreenLake for Private Cloud Enterprise service. By showing metered charges via GreenLake Central, you can demonstrate how the service aligns thecosts with the outcomes, reduces the upfront capital expenditure, and optimizes the cash flow of the business3. You can also compare the metered charges with the budgeted charges, which are the estimated costs based on the initial capacity and service level agreement, to show the variance and savings achieved by the service2.

The other options, such as ROI, TCO, and net present value, are not financial KPIs that you can show via GreenLake Central. ROI (return on investment) is a ratio that measures the profitability of an investment relative to its cost4. TCO (total cost of ownership) is a measure of the direct and indirect costs associated with acquiring and operating an asset or a service over its lifetime5. Net present value is a measure of the current value of a future stream of cash flows, discounted by a certain interest rate6. These are all useful financial metrics for evaluating the HPE GreenLake for Private Cloud Enterprise service, but they are not directly available or calculated via GreenLake Central. They require additional data and analysis from other sources, such as financial statements, market research, or industry benchmarks.

References:

• 1: HPE GreenLake for Private Cloud Enterprise
• 2: HPE GreenLake for Private Cloud Enterprise: Scaling and orchestrating modern applications for the enterprise
• 3: HPE GreenLake: The cloud that comes to you
• 4: Return on Investment (ROI) Definition
• 5: Total Cost of Ownership (TCO) Definition
• 6: Net Present Value (NPV) Definition

• HPE InfoSight: HPE InfoSight is an AI-driven predictive analytics platform that monitors and optimizes the performance, health, and utilization of HPE’s storage, servers, and networking solutions. It can automatically identify performance improvement opportunities based on workload patterns, and provide recommendations and actions to enhance the efficiency and reliability of the infrastructure12.
• HPE GreenLake Central: HPE GreenLake Central is a cloud-native platform that provides a unified and consistent experience for managing and optimizing HPE’s edge-to-cloud solutions. It can provide cost control to optimize spends across clouds, by enabling customers to track and manage their consumption, budget, and invoices, and to compare the costs and benefits of different cloud providers and services34.
• Data Services Cloud Console: Data Services Cloud Console is a cloud-native console that provides a simplified and agile way to manage and orchestrate HPE’s data and storage solutions. It can provide intent-based provisioning based on workload type, capacity, and access needs, by enabling customers to create and deploy data services in minutes, and to adjust and scale them on-demand, without any manual intervention or complexity .

https://www.hpe.com/us/en/newsroom/press-release/2022/03/hpe-greenlake-edge-to-cloud-platform-delivers-greater-choice-and-simplicity-with-unified-experience-new-cloud-services-and-expanded-partner-ecosystem.html

A physical site survey is a detailed inspection and assessment of a plot of land or a facility where work is proposed, to gather information for a design or an estimate to complete the initial tasks required for an outdoor or indoor activity12. It can determine a precise location, access, best orientation for the site and the location of obstacles3. A physical site survey is important for any architectural or engineering project, as it provides critical information that affects everything from project planning to execution2.

One of the areas where a physical site survey is required is the datacenter, where HPE Edge-to-Cloud Solutions can be deployed to provide a hybrid cloud operating model across all workloads and data4. A datacenter is a facility that houses computing and networking equipment, as well aspower, cooling, security, and fire suppression systems5. A physical site survey of a datacenter should gather information such as:

• Datacenter dimensions: The size and shape of the datacenter, including the floor area, ceiling height, and available space for racks, cabinets, and equipment. This information is essential for determining the optimal layout and design of the datacenter, as well as the capacity and scalability of the infrastructure5.
• Fire suppression capabilities: The type and availability of fire suppression systems in the datacenter, such as sprinklers, gas, or foam. This information is important for ensuring the safety and reliability of the datacenter, as well as complying with the fire codes and regulations5.

Other information that may be gathered during a physical site survey of a datacenter include:

• Power and cooling requirements: The amount and quality of power and cooling available in the datacenter, as well as the backup and redundancy options. This information is crucial for ensuring the performance and availability of the datacenter, as well as minimizing the energy consumption and costs5.
• Network connectivity and security: The type and speed of network connections and services available in the datacenter, as well as the security measures and policies in place. This information is vital for ensuring the connectivity and security of the datacenter, as well as supporting the edge-to-cloud solutions and services5.

The other options, such as existing VLANs, current patch levels, and existing disk capacity, are not information that should be gathered during a physical site survey, as they are more relevant for a logical or technical site survey. A logical or technical site survey is a different type of site survey that focuses on the existing or planned configuration and functionality of the IT systems and devices in a site, such as servers, storage, switches, routers, firewalls, and software. A logical or technical site survey is usually performed after a physical site survey, and may require additional tools and methods, such as network analyzers, ping tests, traceroute, and SNMP.

References:

• 4: Edge to Cloud | HPE GreenLake | HPE - Hewlett Packard Enterprise
• 1: Physical Site Survey - Aruba
• 2: What is an architecture Site Survey? Understanding their importance… - archisoup | Architecture Guides & Resources
• 3: Site survey - Wikipedia
• 5: What is a Site Survey and Why is it Important - Emlii
• : [Logical Site Survey - Aruba]

• Customers looking to unlock agility and collapse data management silos. = Alletra
• Customers looking to run apps and collapse infrastructure management silos. = SimpliVity
• Customers looking to run apps and build a resilient enterprise. = Zerto

• Alletra: Alletra is a data services platform that offers cloud-native data management and storage solutions for various workloads and applications. It can help customers unlock agility and collapse data management silos, by enabling them to provision, monitor, and optimize their data services from a single cloud console, and to integrate with various cloud providers and services12.
• SimpliVity: SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data protection in a single appliance. It can help customers run apps and collapse infrastructure management silos, by simplifying and streamlining their IT operations, reducing costs and complexity, and improving efficiency and performance34.
• Zerto: Zerto is a data protection and disaster recovery solution that offers continuous data replication, backup, and recovery for various workloads and applications. It can help customers run apps and build a resilient enterprise, by enhancing their data availability, security, and compliance, and by enabling them to recover from any disruption or failure in minutes5 .

HPE GreenLake is a pay-per-use IT model that delivers on-demand capacity and planning, combining the agility and economics of public cloud with the security and performance of on-premises IT. It helps customers improve their liquidity by avoiding large upfront capital expenditures and paying only for what they use. This frees up cash flow and enables them to invest in other strategic initiatives. According to an IDC study, customers using HPE GreenLake Management Services reported a 27% lower three-year cost of operations and a 287% five-year return on investment1. References:

• HPE GreenLake cloud platform
• The Business Value of HPE GreenLake Management Services
• HPE Expands Pay-Per-Use IT to Key Business Workloads
• Three Financial Benefits of Using HPE Greenlake

Statement 1: IT generalist looking for the most affordable approach to boost performance Option: MSA Explanation: MSA is an entry-level storage solution that offers high performance, scalability, and simplicity at a low cost. It is ideal for IT generalists who need to support a variety of workloads and applications without breaking the budget. MSA supports both flash and hybrid configurations, and can deliver up to 325,000 IOPS with sub-millisecond latency1.

Statement 2: Line of business or virtual machine admin looking for a new approach to consolidate infrastructure and lower operating expenses Option: SimpliVity Explanation: SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data protection in a single appliance. It is designed for line of business or virtual machine admins who want to simplify and streamline their IT operations, reduce costs, and improve efficiency. SimpliVity offers built-in backup and disaster recovery, data deduplication and compression, and global VM-centric management2.

Statement 3: Storage savvy buyer that wants to replace legacy storage for flexibility and tier 0 capabilities Option: Alletra 9000 Explanation: Alletra 9000 is a high-end storage solution that delivers consistent performance, availability, and agility for mission-critical workloads. It is suitable for storage savvy buyers who demand the best from their storage infrastructure, and who want to modernize their legacy storage with cloud-native capabilities. Alletra 9000 supports NVMe and SCM technologies, and can deliver up to 1.5M IOPS with sub-100 microseconds latency3.

Statement 4: Application centric buyer that needs dedicated storage performance and cloud hooks with a non-traditional approach Option: Alletra 6000 Explanation: Alletra 6000 is a mid-range storage solution that offers flexible performance, scalability, and resiliency for business-critical workloads. It is aimed at application centric buyers who need to optimize their storage for specific applications, and who want to leverage cloud services and APIs for automation and orchestration. Alletra 6000 supports NVMe and SAS technologies, and can deliver up to 900K IOPS with sub-300 microseconds latency4.

References:

• HPE MSA Storage
• HPE SimpliVity
• HPE Alletra 9000
• HPE Alletra 6000

 The solution that addresses all three of the customer’s concerns is D. Rebuild your solution using the HPE GreenLake Quick Quote tool. With HPE GreenLake, the solution can be delivered in as little as 14 days, GreenLake solution deployed by HPE, and the solution is billed monthly. This is because HPE GreenLake is a cloud service that delivers on-premises or edge solutions with a pay-per-use pricing model, flexible capacity, and fully managed services. HPE GreenLake offers the following benefits for the customer:

• It reduces the lead time for the solution delivery, as HPE GreenLake can provide ready-to-ship solutions in 14 days or less, depending on the availability and complexity of the solution12.
• It lowers the IT resources required to deploy and manage the solution, as HPE GreenLake provides end-to-end services, including installation, configuration, monitoring, backup, patching, and tuning of the solution, freeing up the customer’s IT staff to focus on value-added activities13.
• It alleviates the initial cost outlay, as HPE GreenLake charges the customer only for the actual usage of the solution, avoiding upfront capital expenses and overprovisioning or underutilization of resources14.

The other options do not address all three of the customer’s concerns because:

• A. Use the HPE TCO and ROI calculator to develop a compelling business case that highlights the value proposition as well as essential financial metrics that are important to the customers. This option may help the customer understand the long-term benefits and savings of the solution, but it does not address the customer’s immediate concerns of lead time, IT resources, and initial cost outlay. The customer may still face delays, complexity, and upfront expenses with the solution5.
• B. Use the HPE Assessment Foundry to find ways to lower the amount of storage needed. Use the results of the reports to use cheaper drives in the storage array. Also HPE Pointnext services for installation. This option may help the customer optimize the storage capacity and performance of the solution, as well as simplify the installation process, but it does not address the customer’s concerns of lead time and initial cost outlay. The customer may still face long delivery times for some components of the solution, and may have to pay a high upfront price for the solution and the services67.
• C. Rebuild the solution in OCA, and look for opportunities in the tool to replace long lead time components with similar components that have shorter lead times. Also with your sales team to revise the cost of the solution to meet customer needs. This option may help the customer reduce the lead time and the initial cost outlay of the solution, but it does not address the customer’s concern of IT resources. The customer may stillhave to allocate significant IT resources to deploy and manage the solution, and may compromise on the quality or performance of the solution by replacing some components8.

References:

• HPE GreenLake – Cloud Services for Your Entire Estate
• HPE GreenLake Quick Quote
• HPE GreenLake Management Services
• HPE GreenLake Central
• HPE TCO and ROI Calculator
• HPE Assessment Foundry
• HPE Pointnext Services
• HPE One Config Advanced (OCA)

According to the HPE Edge-to-Cloud Adoption Framework, page 5, the following matches are correct:

• The cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). = Private Cloud
• The cloud infrastructure is provisioned for exclusive use case specific group of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). = Community Cloud
• The cloud infrastructure is provisioned for open use by everyone. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. = Public Cloud
• The cloud infrastructure is a composition of two or more distinct cloud infrastructures that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability. = Hybrid Cloud

• Private Cloud: A private cloud is a cloud deployment model where the cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or some combination of them, and it may exist on or off premises. A private cloud offers the organization more control, security, and customization over their cloud resources, but it also requires more investment, maintenance, and expertise1.
• Community Cloud: A community cloud is a cloud deployment model where the cloud infrastructure is provisioned for exclusive use by a specific group of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be owned, managed, and operated by one or more of the organizations, a third party, or some combination of them, and it may exist on or off premises. A community cloud offers the group of consumers more collaboration, cost-sharing, and alignment over their cloud resources, but it also requires more coordination, governance, and trust1.
• Public Cloud: A public cloud is a cloud deployment model where the cloud infrastructure is provisioned for open use by everyone. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them, and it exists on the premises of the cloud provider. A public cloud offers the consumers more scalability, flexibility, and affordability over their cloud resources, but it also requires more dependency, compliance, and security1.
• Hybrid Cloud: A hybrid cloud is a cloud deployment model where the cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds). A hybrid cloud offers the consumers more choice, agility, and innovation over their cloud resources, but it also requires more integration, management, and complexity1.

HPE’s disaggregated hyperconverged infrastructure (dHCI) is a solution that combines the simplicity and ease-of-use of HCI with the flexibility and scalability of disaggregated architecture. It consists of three main components: compute nodes, storage nodes, and networking. The compute nodes are HPE ProLiant servers that run the applications and virtual machines. The storage nodes are HPE Alletra 6000 arrays that provide storage capacity and data services. The networking is the fabric that connects the compute and storage nodes, providing high-speed data transfer and management.

The HPE Alletra 6000 arrays can be connected to the compute nodes using either iSCSI or FC protocols, depending on the customer’s preference and existing infrastructure. Therefore, both D and B are valid options for the storage nodes. However, the question asks for three components, so only one of them can be chosen. Since the question does not specify the protocol, we can assume that either one is acceptable. For simplicity, we choose D as the answer.

The HPE ProLiant servers can be either rack-mounted or blade servers, depending on the customer’s needs and space constraints. Therefore, both F and C are valid options for the compute nodes. However, the question asks for three components, so only one of them can be chosen. Since the question does not specify the form factor, we can assume that either one is acceptable. For simplicity, we choose F as the answer.

The networking component can be any of the approved options for storage switches, including HPE Aruba, Cisco, Mellanox, and others. Therefore, E is a valid option for the networking component. A is not a valid option, because HPE B-series switches are not compatible with HPE Alletra 6000 arrays.

Therefore, the correct answer is D, E, F. References:

• Alletra Disaggregated HCI (dHCI) | HPE
• What is disaggregated HCI (dHCI)? | Glossary | HPE
• Advantages of HPE’s dHCI Architecture - WWT
• HPE Alletra dHCI Overview - Hewlett Packard Enterprise

• Scales up and down to meet workload requirements. = Both
• Can include infrastructure, colocation, power and cooling in a single bill. = HPE GreenLake
• Customer retains ownership of the assets. = Customer
• HPE retains ownership of the assets. = HPE GreenLake
• Customer can add HPE GreenLake Management Service. = HPE GreenLake

• Both: Both customer and HPE GreenLake solutions can scale up and down to meet workload requirements, depending on the type of solution and the contract terms. For example, a customer can purchase a scalable solution, such as HPE Synergy or HPE SimpliVity, and add or remove resources as needed. Alternatively, a customer can use HPE GreenLake, which offers a pay-per-use model, and adjust the capacity and performance on demand.
• HPE GreenLake: HPE GreenLake is a consumption-based model where the customer pays only for the resources they use, on a monthly basis. HPE owns the assets and provides them as a service to the customer, along with the necessary support, management, and optimization. HPE GreenLake can include infrastructure, colocation, power and cooling in a single bill, depending on the customer’s needs and preferences. HPE GreenLake also allows the customer to add HPE GreenLake Management Service, which is a cloud-native platform that provides a unified and consistent experience for managing and optimizing HPE’s edge-to-cloud solutions.
• Customer: Customer is a traditional acquisition model where the customer pays upfront for the hardware, software, and services they need. The customer owns the assets and is responsible for their maintenance, management, and upgrade. This model gives the customer more control, security, and customization over their assets, but it also requires more investment, maintenance, and expertise.

• A cloud solution with a pay-per-use model allows the customer to pay only for the resources they consume, such as compute, storage, network, or software services1.
• A cloud solution with a pay-per-use model also enables the customer to scale up or down their resources on-demand, depending on their workload and performance needs1.
• A cloud solution with a pay-per-use model can help the customer reduce their operational expenditures (OPEX) by eliminating the need for upfront capital investments, maintenance costs, and overprovisioning of resources1.
• A hybrid solution, which combines cloud and on-premises resources, may not always reduce the total cost of ownership, as it depends on the workload characteristics, the cloud pricing model, and the integration and management complexity2.
• A hybrid solution may also have a more complicated expenditure model, as it involves both OPEX and CAPEX, and requires careful planning and optimization of the resource allocation and utilization2.
• A traditional solution, which relies on on-premises hardware and software, requires a high capital expenditure (CAPEX) to deploy, as well as ongoing maintenance, upgrade, and support costs3.
• A traditional solution also limits the customer’s flexibility and agility, as they have to deal with fixed and finite resources, and longer provisioning and deployment cycles3.

The references are:

1: Cloud Computing Pricing Models 2: Hybrid Cloud Cost Optimization 3: Cloud vs On-Premise Software Comparison

HPE Complete is a program that provides a one-stop shop for validated HPE and third-party partner end-to-end infrastructure solutions. HPE Complete and third-party engineering validates the interoperability and reliability of HPE Complete third-party products with HPE storage, server, and networking solutions. HPE Complete product management is responsible for managing the portfolio of third-party products and solutions that are part of the HPE Complete program. If you need to include non GreenLake enabled ISVs in a customer solution, you should engage with HPE Complete product management to find the best fit for your customer’s needs and goals. References: HPE Complete 3rd Party Technology Partner Products & Solutions, HPE Complete Care Service

When proposing a storage expansion solution to a customer Fibre Channel array, it is important to consider the current and future workloads that will use the array, as well as the performance bottlenecks that may affect the array’s efficiency and availability. These two factors will help determine the optimal size, type, and configuration of the storage expansion, as well as the potential impact on the existing Fibre Channel network and the customer’s business objectives.

C. Other workloads that are planned to be added to this array. This point is relevant because adding new workloads to the array will increase the demand for storage capacity and performance, which may require additional disks, controllers, or ports. The type and characteristics of the new workloads, such as their I/O patterns, data protection requirements, and service level agreements, will also influence the design of the storage expansion solution. For example, if the new workloads are I/O intensive or require high availability, the storage expansion solution may need to include solid-state drives (SSDs), RAID levels, or replication features that can meet those needs.

E. Performance bottlenecks in the current solution. This point is relevant because identifying and resolving the performance bottlenecks in the current solution will help improve the efficiency and utilization of the existing storage resources, as well as prevent potential issues in the expanded solution. Performance bottlenecks can occur at different layers of the storage solution, such as the disk, controller, switch, or host. Some common causes of performance bottlenecks are disk contention, controller overload, port congestion, or host configuration. To diagnose and mitigate the performance bottlenecks, the storage administrator can use tools such as HPE InfoSight, HPE 3PAR System Reporter, or HPE Command View EVA to monitor and analyze the performance metrics, such as IOPS, throughput, latency, queue depth, or utilization, of the storage components.

A. VLAN and Spanning Tree configuration. This point is not relevant because VLAN and Spanning Tree are Ethernet network concepts that do not apply to Fibre Channel networks. Fibre Channel networks use different protocols and mechanisms to segment and manage the network traffic, such as zones, virtual SANs (VSANs), or fabric services.

B. The UPS model that is currently in use. This point is not relevant because the UPS model that is currently in use does not directly affect the storage expansion solution. The UPS model is a power backup device that provides uninterrupted power supply to the storage devices in case of a power outage. The UPS model may have some implications on the power consumption and availability of the storage devices, but it is not a critical factor in the design of the storage expansion solution.

D. Current Ethernet network topology. This point is not relevant because the current Ethernet network topology does not directly affect the storage expansion solution. The Ethernet network topology is the physical and logical layout of the Ethernet network devices, such as switches, routers, or firewalls, that connect the hosts to the storage devices. The Ethernet network topology may have some implications on the network performance and availability of the storage devices, but it is not a critical factor in the design of the storage expansion solution. References:

• HPE Edge-to-Cloud Solutions | H61X1S
• HPE Edge-to-Cloud Transformation Program | HPE
• HPE Digital Learner for HPE Edge-to-Cloud Content Pack
• IT Resource Library - Technology Business Research | HPE
• Dell PowerVault MD3 Fibre Channel Array Series
• Enabling Cisco HyperFlex Systems to Coexist with Fibre Channel Shared Storage - Cisco
• Announcing Fibre Channel Advancements in FlashArray - Pure Storage Blog
• Purity ActiveCluster over Fibre Channel - Pure Storage
• Fiber Channel Storage Area Network - Techopedia

The customer would receive the benefit of offloading monitoring and modifying databases with HPE GreenLake management services by choosing HPE GreenLake for database. This is because HPE GreenLake for database is a cloud service that delivers optimized infrastructure and management services for business-critical databases such as SQL Server, Oracle, and EDB Postgres. HPE GreenLake for database offers the following benefits for the customer:

• It provides a pay-per-use pricing model that aligns costs with usage and avoids overprovisioning or underutilization of resources12.
• It enables a self-service portal that allows the customer to provision, scale, and manage databases on demand, with point-and-click simplicity13.
• It leverages HPE InfoSight, an AI-powered platform that provides predictive analytics, proactive recommendations, and automated actions to prevent issues, optimize performance, and reduce costs for database environments14.
• It includes HPE GreenLake management services, which provide 24x7 monitoring, backup, patching, and tuning of databases, freeing up the customer’s IT staff to focus on value-added activities15.

The other options are not benefits of HPE GreenLake for database because:

• A. Cost savings with a community cloud operating model that supports sharing resources with other tenants. HPE GreenLake for database does not use a community cloud operating model, which is a cloud service that is shared among multiple organizations with common interests or goals. HPE GreenLake for database uses a private cloud operating model, which is a cloud service that is dedicated to a single organization and hosted on-premises or in a colocation facility67.
• B. Time savings with a fully managed VDI solution hosted in their choice of AWS or Azure. HPE GreenLake for database does not provide a VDI solution, which is a virtual desktop infrastructure that delivers desktops and applications to end users from a centralized server. HPE GreenLake for database provides a database solution, which is a data management system that stores, organizes, and manipulates data for variousapplications. HPE GreenLake for database also does not host the solution in AWS or Azure, which are public cloud providers. HPE GreenLake for database hosts the solution on-premises or in a colocation facility89.
• C. Order prioritization with delivery and provisioning of new capacity in 7 days or fewer. HPE GreenLake for database does not guarantee delivery and provisioning of new capacity in 7 days or fewer. HPE GreenLake for database provides a buffer capacity that is reserved for the customer and can be activated instantly when needed. However, if the customer requires additional capacity beyond the buffer, the delivery and provisioning time may vary depending on the availability and complexity of the solution .

References:

• HPE GreenLake for Database | HPE Store US
• HPE GreenLake for Database - PSNow
• HPE GreenLake for Database | HPE Saudi Arabia
• HPE InfoSight – AI-Driven Intelligence for Infrastructure
• Unlock the value of your databases - Nutanix
• What is a community cloud? | IBM
• What is a private cloud? | IBM
• What is VDI (Virtual Desktop Infrastructure)? | VMware
• What is a database? | Oracle
• [HPE GreenLake for Database - PSNow]
• [HPE GreenLake for Database | HPE Store US]

 HPE SPOCK (Storage Product Compatibility) is a tool that provides the latest compatibility information for HPE storage products across the entire HPE portfolio. You can use HPE SPOCK to determine whether the existing Fibre Channel switches are compatible with the new HPE Alletra 9000 Fibre Channel array by selecting the product family, model, and firmware version of the switches and the array. HPE SPOCK will display the compatibility status, any notes or limitations, and the recommended configuration settings for the switches and the array. HPE SPOCK can help you ensure a smooth and successful deployment of the HPE Alletra 9000 Fibre Channel array with the existing Fibre Channel switches. References: HPE SPOCK, HPE Alletra 9000 Data sheet, HPE Alletra 9000 configuration overview, Marvell® QLogic® Fibre Channel Host Bus Adapters

• SAF Collector: This tool, judging by its name, seems to be used for collecting data. Therefore, it likely falls under the category ofData Collection.
• SAF Analyse: Given its name, this tool is probably used for analyzing the data collected. This would place it in the category ofData analysis and solution sizing.
• NinjaSTARS: This tool's exact function isn't clear from its name alone. However, tools with "STAR" in their name are often related to analysis or monitoring in IT contexts. Thus, it might fit into theData analysis and solution sizingcategory.
• NinjaCrawler: The term "Crawler" typically refers to a tool that navigates and collects data from different sources, particularly in web and network contexts. Therefore, this tool is likely best suited for theData Collectioncategory.
• DD Analyse: The "Analyse" part of this tool's name suggests that it is used for analyzing data, which would place it in theData analysis and solution sizingcategory.

https://www.hpe.com/us/en/hpe-edge-to-cloud-adoption-framework.html

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 overview1, 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 protectionfrom 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]