HPE0-V27 HPE Edge-to-Cloud Solutions Question and Answers

• 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 Solutions for Scality Artesca is a lightweight, cloud-native object storage platform that supports S3 bucket storage for modern applications. It is designed to run on Kubernetes and bare metal servers, and can be deployed on a single node or scaled out to petabytes. It offers high performance, durability, and federated data management across edge, core, and cloud environments. It also has a low total cost of ownership and a flexible consumption model with HPE GreenLake. Compared to the other options, HPE Solutions for Scality Artesca has the smallest physical footprint and the most portability and scalability for S3 bucket storage requirements. References:

• HPE Object Based Storage for Scality Solutions
• HPE and Scality ARTESCA deliver best edge-to-cloud-to-core data management experience for AI/ML
• HPE Solutions with Scality
• Scality and Hewlett Packard Enterprise unveil ARTESCA: lightweight, true enterprise-grade, cloud-native object storage software for Kubernetes
• Scality and HPE Launch Object Storage Software for Kubernetes

Spreading the infrastructure across additional racks can help reduce the power density per rack and avoid exceeding the 5kW limit of the customer’s data center. This option may require more space and cabling, but it can preserve the performance and availability of the planned solution. Hosting the compute solution with a colocation provider can also help overcome the power constraint of the customer’s data center, as well as provide other benefits such as scalability, security, and connectivity. This option may incur additional costs and complexity, but it can also enable the customer to access cloud services and hybrid solutions more easily. Both options are compatible with HPE GreenLake pay-per-use model, which can help the customer optimize their IT spending and consumption. References: https://www.hpe.com/psnow/doc/a00107143enw

https://www.hpe.com/us/en/newsroom/press-release/2017/11/hpe-expands-pay-per-use-it-to-key-business-workloads.html

https://www.globenewswire.com/news-release/2017/11/27/1206269/0/en/HPE-Expands-Pay-Per-Use-IT-to-Key-Business-Workloads.html

https://www.data3.com/knowledge-centre/blog/hpe-greenlake-use-cases-making-sense-of-economical-and-operational-drivers/

The shared responsibility model for HPE GreenLake services defines the roles and responsibilities of HPE and the customer in ensuring the security and compliance of the cloud infrastructure and data. According to this model, HPE is responsible for providing a secure supply chain, firmware management, and threat detection for the HPE GreenLake Private Cloud Enterprise solution, while the customer is responsible for managing the OS vulnerability mitigation, data protection, identity and access management, and application security. Therefore, the aspect of the shared responsibility model that will be retained by the customer is OS vulnerability mitigation. References: Sharing responsibility for security with HPE GreenLake, Understanding the HPE GreenLake For VMware Cloud Foundation Model, HPE GreenLake Cloud Practitioner Foundations

When generating a customer HPE GreenLake proposal, you need to submit the following mandatory items to HPE for quoting:

• Start Bill of Materials: This is a document that lists the initial hardware and software components, quantities, and prices that are required for the HPE GreenLake solution. It also includes the service level, the billing unit, the minimum and maximum capacity, and the buffer size. The Start Bill of Materials helps HPE to calculate the monthly fee and the buffer charge for the customer.
• Completed Order Checklist: This is a document that contains the essential information and documents that are needed to process the HPE GreenLake order. It includes the customer name, address, contact details, legal entity, billing frequency, payment method, contract term, start date, end date, and signature. It also includes the attachments such as the Start Bill of Materials, the End Bill of Materials, the Statement of Work, the Credit Check Form, and the Customer Acceptance Form.

The other items are not mandatory for the initial proposal, but they may be required later in the order process:

• End Bill of Materials: This is a document that lists the final hardware and software components, quantities, and prices that are delivered and installed for the HPE GreenLake solution. It may differ from the Start Bill of Materials due to changes in the customer requirements, availability, or pricing. The End Bill of Materials helps HPE to reconcile the actual usage and billing with the customer.
• Signed Statement of Work: This is a document that defines the scope, deliverables, responsibilities, and terms and conditions of the HPE GreenLake service. It also includes the service level agreement, the service description, the service activation, the service management, the service reporting, and the service termination. The Statement of Work must be signed by both HPE and the customer before the service can start.
• Credit Check Form: This is a document that authorizes HPE to perform a credit check on the customer to assess their financial stability and creditworthiness. The credit check helps HPE to determine the payment terms and conditions for the HPE GreenLake service.

References: HPE GreenLake Central User Guide, HPE GreenLake for Block Storage MP, HPE GreenLake Edge-to-Cloud Platform User Guide

• HPE Solutions for Scalitv RING is a software-defined storage solution that provides cloud storage on-premises with data capacity from terabytes to exabytes in a single name space1.
• HPE Solutions for Scalitv RING supports multiple single- and geo-dispersed data configurations, including erasure coding across sites, which enables high availability and durability of data across different locations1.
• HPE Solutions for Scalitv RING offers a native S3 API and file protocols, such as NFS and SMB, that provide connection to most business applications and cloud-native workloads1.
• HPE Solutions for Scalitv RING also provides built-in ransomware protection, federated data management, and flexible deployment options, such as HPE GreenLake edge-to-cloud platform1.
• HPE Solutions for Scalitv ARTESCA is a lightweight solution optimized for S3 access from cloud-native applications, but it does not support geo-dispersed data configurations or file protocols2.
• HPE Solutions for Qumulo is a file data platform that provides real-time visibility, scale, and control of data across on-premises and cloud environments, but it does not support object storage or erasure coding across sites3.
• HPE Solutions for Cohesity is a data management platform that simplifies backup, recovery, and data protection across hybrid cloud environments, but it does not support petabyte-scale or geo-dispersed object storage4.

The references are:

1: HPE Solutions with Scality 2: HPE Solutions for Scality ARTESCA 3: HPE Solutions for Qumulo 4: HPE Solutions for Cohesity

The HPE GreenLake Estimator is a tool that helps you to generate pricing estimates for various HPE GreenLake cloud services and workloads, based on your customer’s specific needs and parameters. The tool allows you to define your workload, review suggested configurations, fine-tune your specifications, and receive an email with your estimate. The tool also provides you with a comparison of the total cost of ownership (TCO) between HPE GreenLake and traditional IT models, as well as the potential savings and benefits of choosing HPE GreenLake. The HPE GreenLake Estimator is a useful tool to engage with your customer and present the economic impact of an HPE GreenLake solution, as well as to initiate the process of creating a formal quote. References: https://paths.ext.hpe.com/c/hpe-greenlake-for-backup-and-recovery-cost-estimator?x=pd4vnk

https://www.hpe.com/psnow/resources/ebooks/a00092451en_us_v36/Pricing-estimates-and-quotes-for-services.html

https://www.servercomputeworks.com/pricing.asp

HPE GreenLake Central is an advanced software-as-a-service platform that provides customers with a consistent cloud experience for all their applications and data, whether they are on-premises, at the edge, or in the public cloud. HPE GreenLake Central enables customers to access business KPIs such as costs and usage rates for their HPE as-a-service solutions, as well as other metrics and insights that help them optimize their IT operations and outcomes. HPE GreenLake Central also allows customers to manage their hybrid estate, provision resources, monitor performance, enforce policies, and access support and services from a single, unified dashboard. HPE GreenLake Central is the core of the HPE GreenLake edge-to-cloud platform, which delivers a flexible, scalable, and secure solution for customers’ diverse workloads and data needs. References: https://common.cloud.hpe.com/login

https://www.hpe.com/us/en/greenlake.html

https://www.hpe.com/psnow/resources/ebooks/a00092451en_us_v36/Welcome-to-HPE-GreenLake-Central.html

The TCO Calculator is a tool that helps you compare the total cost of ownership (TCO) of different IT infrastructure solutions, such as on-premises, cloud, or hybrid. The TCO Calculator provides two values that can help you evaluate the financial benefits of each solution: return on investment (ROI) and net present value (NPV).

• Return on investment (ROI) is a measure of the profitability of an investment, calculated as the ratio of the net income generated by the investment to the initial cost of the investment. A higher ROI indicates a more profitable investment. The TCO Calculator estimates the ROI of each solution over a specified period of time, based on the expected savings, costs, and revenues.
• Net present value (NPV) is a measure of the present value of the future cash flows of an investment, discounted by a certain interest rate. A positive NPV indicates that the investment is worth more than its initial cost. The TCO Calculator estimates the NPV of each solution over a specified period of time, based on the expected savings, costs, revenues, and discount rate.

The TCO Calculator can help you compare the ROI and NPV of different IT infrastructure solutions and choose the one that best suits your business needs and goals. References: TCO & ROI Calculators for IT Infrastructure – Total Cost of Ownership | HPE, TCO Calculator User Guide, TCO Calculator FAQ

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

• Business value is a measure of the benefits that an organization or a project delivers to its stakeholders, such as customers, employees, shareholders, or society1.
• One way to quantify business value is to calculate the profit, which is the difference between the revenue and the expenses of an organization or a project2.
• Revenue is the income that an organization or a project generates from its products, services, or other sources2.
• Expenses are the costs that an organization or a project incurs to operate, produce, or deliver its products, services, or other outputs2.
• Therefore, the formula to calculate profit is: profit = revenue - expenses2.
• For example, if an organization has a revenue of $100,000 and an expense of $80,000, its profit is $20,000.
• The other options are incorrect because they do not reflect the correct relationship between revenue, expenses, and profit:

The references are:

1: What is Business Value? 2: What is Profit?

• 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

To present the power consumption of a proposed datacenter solution to a customer, you can use the following tools:

• Product Bulletin: This is a web-based tool that provides technical specifications, features, benefits, and compatibility information for HPE products. You can use it to compare different products and configurations, and to generate customized reports that include power and cooling data for the selected products. You can also access the Product Bulletin from the HPE Sizer tool1.
• Power Advisor: This is a web-based tool that helps you estimate the power consumption and cooling requirements of HPE servers, storage, and networking devices. You can use it to create a configuration based on the customer’s requirements, and to generate a power summary report that shows the power input, output, heat dissipation, and airflow data for the configuration. You can also export the configuration to the HPE Sizer tool2.

The other options are not suitable for presenting the power consumption of a proposed solution. OCA is an online tool that helps you assess the customer’s current environment and identify opportunities for optimization and transformation. NinjaSTARS is a web-based tool that helps you compare the performance and cost of HPE storage solutions with competitors’ products. SSET is a web-based tool that helps you design and validate HPE solutions based on customer requirements and industry workloads. References:

• HPE Product Bulletin
• HPE Power Advisor
• HPE Sizer

HPE GreenLake for Block Storage is a storage-as-a-service solution that delivers a cloud operational experience for mission-critical applications. It enables customers to consume enterprise-grade block storage on demand, with a pay-per-use model that aligns costs with usage. This way, customers can avoid overprovisioning and paying for excess capacity that they may not need in the near future. Instead, they can scale up or down as their needs change, and pay only for what they use at a predetermined cost per GB. This provides better economics and flexibility for customers who want to optimize their storage spending and improve their liquidity123. References:

• HPE GreenLake for Block Storage
• HPE GreenLake for Storage - Storage Management Services
• HPE adds block storage to GreenLake

 HPE GreenLake Private Cloud Enterprise is a fully managed cloud service that delivers a unified self-service infrastructure provisioning experience to IT and application administrators and developers1. It supports the deployment of bare metal, containers, and virtual machines workloads across datacenters, colocation facilities, or edge locations1. It also provides a consistent cloud experience across any application or workload, whether traditional or cloud-native1.

One of the workload services offered as part of HPE GreenLake Private Cloud Enterprise is VMware ESXi virtual machines. VMware ESXi is a hypervisor that enables the creation and management of virtual machines on a physical server2. VMware ESXi virtual machines can run various operating systems and applications, and can be migrated, cloned, or backed up using VMware tools2. HPE GreenLake Private Cloud Enterprise integrates with VMware vCenter Server to provide a seamless user interface for provisioning and managing VMware ESXi virtual machines3. Users can also leverage VMware vRealize Automation and vRealize Operations for advanced automation and orchestration capabilities3.

Another workload service offered as part of HPE GreenLake Private Cloud Enterprise is Bare Metal servers. Bare Metal servers are physical servers that are dedicated to a single tenant and do not run any hypervisor or virtualization layer4. Bare Metal servers can offer higher performance, security, and customization than virtual machines, as they eliminate the overhead and complexity of virtualization4. HPE GreenLake Private Cloud Enterprise enables users to provision and manage Bare Metal servers using a self-serviceportal or an API5. Users can also choose from various server models, configurations, and operating systems to suit their workload needs5.

The other options, such as Microsoft Azure Stack HCI, Microsoft Hyper-V virtual machines, Google Distributed Cloud Hosted, and serverless functions, are not workload services offered as part of HPE GreenLake Private Cloud Enterprise. Microsoft Azure Stack HCI and Microsoft Hyper-V virtual machines are alternative virtualization solutions that are not supported by HPE GreenLake Private Cloud Enterprise1. Google Distributed Cloud Hosted is a cloud service that extends Google Cloud Platform to customer premises or edge locations, but it is not integrated with HPE GreenLake Private Cloud Enterprise. Serverless functions are a cloud computing model that executes code without requiring users to provision or manage servers, but they are not available as a workload service in HPE GreenLake Private Cloud Enterprise1.

References:

• 1: HPE GreenLake for Private Cloud Enterprise
• 2: What is VMware ESXi? - Definition from WhatIs.com
• 3: HPE GreenLake for Private Cloud Enterprise: Scaling and orchestrating modern applications for the enterprise
• 4: What is a bare metal server? | IBM
• 5: HPE GreenLake for Private Cloud Enterprise
• : Google Distributed Cloud | Google Cloud

• 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

 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 Guide1, 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

HPE Alletra 9000 is a cloud-native data infrastructure that delivers a cloud experience for mission-critical workloads. It is designed to provide extreme low-latency, reliability, and performance density in a 4U enclosure. Some of the business values of HPE Alletra 9000 are:

• 100% uptime guarantee: HPE Alletra 9000 ensures resiliency with a guaranteed 99.9999% data availability, backed by the HPE Alletra Availability Guarantee program1. It also offers built-in data protection, replication, and disaster recovery capabilities to safeguard data from any eventuality2.
• Enterprise scalability and performance: HPE Alletra 9000 delivers consistent sub-millisecond latency and up to 15M IOPS for the most demanding applications1. It also supports massive scalability, with up to 96 NVMe drives and 6PB of raw capacity per system, and up to 4 systems in a single namespace2. HPE Alletra 9000 can also easily extend to the cloud with consistent data services and native integration with cloud platforms3.

References: HPE Alletra 9000 | HPE Store Australia, Document Display | HPE Support Center, Transform Your Business with the HPE Alletra 9000 Series

HPE SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data services in a single appliance1. HPE SimpliVity clusters are groups of HPE SimpliVity nodes that share the same federation and data center2. HPE SimpliVity clusters can be expanded by adding new nodes to increase the capacity and performance of the cluster3.

However, adding new nodes with newer generation Intel CPUs to an existing HPE SimpliVity cluster may cause compatibility issues for vMotion, the VMware technology that enables live migration of virtual machines between hosts4. vMotion requires that the source and destination hosts have compatible CPUs, meaning that they support thesame set of CPU features4. If the new nodes have different or additional CPU features than the existing nodes, vMotion may fail or be restricted4.

To facilitate adding the new hosts to the cluster, one possible solution is to enable Enhanced vMotion Compatibility (EVC) on the cluster5. EVC is a feature of VMware vSphere that ensures vMotion compatibility for the hosts in a cluster that are running different CPU generations5. EVC masks the CPU features that are not common among all hosts in the cluster, so that all hosts present the same CPU feature set to the virtual machines5. This way, vMotion can be performed without CPU compatibility errors5.

To enable EVC on the cluster, the following steps are required5:

• Power off all virtual machines in the cluster, or migrate them to another cluster.
• Edit the cluster settings and select the EVC mode that corresponds to the baseline CPU feature set for the cluster. The EVC mode must be equivalent to or a subset of the feature set of the host with the smallest feature set in the cluster.
• Add the new hosts to the cluster and verify that they are compatible with the EVC mode.
• Power on the virtual machines in the cluster, or migrate them back from another cluster.

By enabling EVC, the cluster can benefit from the improved vMotion compatibility and flexibility of adding new hosts with newer generation Intel CPUs. However, enabling EVC also has some limitations and trade-offs, such as5:

• EVC does not allow vMotion between hosts with different CPU vendors, such as AMD and Intel.
• EVC does not prevent vMotion from failing for other reasons, such as network or storage incompatibility.
• EVC may prevent virtual machines from accessing some CPU features that are available on newer hosts, but not on older hosts.
• EVC may not work with some applications that do not follow the CPU vendor recommended methods of feature detection.

Therefore, enabling EVC should be carefully planned and tested before adding the new hosts to the cluster.

References:

• 1: HPE SimpliVity
• 2: HPE SimpliVity User Guide
• 3: HPE SimpliVity Expansion Installation and Startup Service
• 4: VMware EVC and CPU Compatibility FAQ
• 5: About Enhanced vMotion Compatibility