HPE2-E70 Exam Dumps - Selling the Value of HPE Hybrid IT Solutions

It uses predictive analytics to improve IT efficiency by solving issues before the customer is even alerted.

It uses AI to determinate whether workloads should run in the cloud or on-premises.

It allows customers to curb secondary data copy sprawl and provide compliance for Service Level Agreement (SLA) data protection requirements.

It simplifies hardware lifecycle management with single pane of glass management.

It speeds up provisioning time because services can any deployed on any combination of compute resources within we fabric, regardless of location.

It guarantees a flexible payment model that enables the customer to obtain necessary resources as soon as they are required, rather than over months.

It enables developers to quickly select services, based on multiple clouds and the on-premises enrollment using a simple self-service catalog,

It provides a unified management platform with templates that help admins more quickly update server and storage firmware, as well as to troubleshoot more quickly.

a single management platform for public cloud services and traditional on-premises environment

redundant storage services that work with customers’ choice of public clouds

advisory services that help customers determine how to migrate workloads to the cloud

a portal for monitoring, managing, and optimizing HPE consumption-based IT services

HPE Synergy

HPE GreenLake Flex Capacity

Intelligent Storage from HPE

Composable Fabric from HPE

IT spending will decrease year-over-year, leading technical developers to focus on other tasks.

Line of business managers will prioritize business skills over technical skills in app developers.

Improvements to development tools will decrease the amount of coding and scripting required to create apps.

Hyperagile apps will be easier to develop because they will run only in cloud environments.

Users find it too slow to run cloud-based applications over the legacy network.

The data center lacks clearly defined siloes for compute, storage, and networking.

Too much automation in the data center has introduced errors and unplanned downtime.

The company lacks control and oversight over difficult-to-manage cloud services.

The customer is concerned about security, compliance, and control over its resources.

The customer needs a cloud management platform which Its IT staff can monitor all workloads.

The customer wants to enhance employee productivity with better connectivity to the cloud.

The customer wants to shift most of the budget bock to upfront CAPEX costs.

It enables consistent government policies across multiple cloud and the on-permises environment.

As an innovative funding model for on-permises resources, it enables customers to pay only for the resources they use.

As an open ecosystem of third-party application, it gives customers greater choice over which apps run in the data center.

It provides AI-assisted insights into application performance and cuts across storage and compute silos.

It provides a multi-cloud management platform that gives customers visibility across their on-premises environment and multiple clouds.

It helps customers identify maturity gaps and plan their cloud strategy, factoring in people, processes, and technology.

It provides an easy to use API that enables customers to integrate their multi-cloud solution with a broad ecosystem of third-party applications.

It helps customers to operate more efficiently by giving customers a pay-per-use funding model for both HPE and partner vendor infrastructure.