Course Information
Registration period
Year-round Recruitment
Price
-
Course Level
Study Mode
Duration
5 Day(s)
Language
English
Location
-
12 views
Course Overview
This five-day course teaches you how to plan and design advanced HPE Edge-to-Cloud and HPE GreenLake solutions based on HPE technologies and industry-standard workloads related to optimizing for performance and/or availability. Hands-on activities will guide you through complex design exercises using skills such as information gathering and analyzing customer business and technical requirements. You will learn to recommend and position HPE GreenLake, compute, storage, network solutions, tools, and appropriate services for customer use cases and workloads.
Ideal candidate for this course
Ideal candidates have a minimum of 5 to 7 years of hands-on experience or equivalent designing complex solutions for enterprise customers. They can scope and architect solutions for the full edge-to-cloud service experience, including the following HPE technologies: cloud services, compute, storage, networking, and services.
What You’ll Learn
HPE value proposition
- Make recommendations from the HPE portfolios, and explain ideal use cases
- Outline the benefits of the HPE Complete portfolio
- Examine business and financial considerations when designing a solution
- Differentiate concepts and processes regarding business continuity and disaster recovery
HPE solution offerings
- Articulate and explain the HPE as-a-service strategy
- Explain and differentiate HPE GreenLake concepts, portfolio, and benefits, including the:
- HPE GreenLake core portfolio
- HPE GreenLake cloud services
- HPE GreenLake Lighthouse
- Financial benefits
- Recommend and explain the benefits of HPE GreenLake Managed Cloud Services
- Recognize the competitive landscape
Designing a solution for a database workload
- Differentiate and describe the characteristics of different database workloads
- Explain HPE GreenLake for databases
- Design a database solution, based on the customer requirements, including:
- Compute platform
- Replication and recovery options
- Data center interconnect
- HPE Serviceguard for Linux
Designing a solution for an advanced virtualization workload
- Recommend and describe VCF building blocks
- Explain the components of HPE GreenLake for VCF
- Design and architect a virtualization solution, based on customer requirements, including:
- HPE Synergy infrastructure
- VMware® storage technologies
- Aruba and VMware vSphere® integration
- Distributed Services Switch
- Protecting VMware workloads
Designing a solution for VDI workloads
- Describe and explain VMware Horizon® and Citrix architectures
- Explain HPE GreenLake for VDI
- Design a VDI solution, based on the customer requirements
Designing a solution for a container workload
- Describe the components of, and use cases for, containers and Kubernetes
- Design HPE Storage solutions for containers and Kubernetes
- Demonstrate the features and benefits of HPE Ezmeral Runtime Enterprise
- Compare and contrast the use cases for HPE GreenLake for Containers
Designing a solution for a Big Data/Analytics workload
- Outline the HPE portfolio for Big Data, analytics, and software-defined storage
- Define the features of the HPE Apollo 4000 family
- Design solutions for Big Data, analytics, and AI workloads
- Design solutions for scale-out unstructured data platforms, including Cohesity, Qumulo, and Scality
Designing a solution for HPC and AI workloads
- Describe the HPE portfolio for HPC and AI workloads
- Summarize the benefits of the HPE GreenLake for HPC solution
- Design the management for an HPC and AI solution, using HPE Performance Cluster Manager
Designing a data protection solution
- Differentiate and recommend the components of the HPE data protection software portfolio
- Describe the HPE Cloud Bank Storage feature, including use cases for cloud backup, recovery, and archive
- Recommend and explain the data protection options available for HPE GreenLake, including:
- HPE Backup and Recovery Service
- Zerto integration
