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

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 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

• 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

• 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 .