This course provides Tenant Administrators of the HPE
GreenLake Hybrid Cloud environment with the ability to
manage cloud services through the HPE GreenLake Central
Platform. Some of the highlighted services that can be managed
through the GreenLake Central portal include Continuous
Compliance, Consumption Analytics, HPE Greenlake Private
Cloud, HPE GreenLake Containers as a Service and HPE
GreenLake Machine Learning Operations. This course also
covers the connection of public cloud accounts to Continuous
Compliance and Consumption Analytics, performing various
administrative tasks within a private cloud, the creation and
management of Kubernetes clusters, and the creation and
management of machine learning projects
TARGET AUDIENCE:
Tenant Administrators of HPE GreenLake
Hybrid Cloud.
COURSE PREREQUISITES:
HPE recommends that students attain the
following credentials or levels of experience
before taking this course:
• Completion of HPE GreenLake
Fundamentals (HQ717S)
COURSE CONTENT:
HQ7J8S (hpe.com)
COURSE OBJECTIVE:
After completing this course, students
should to be able to:
• Describe the purpose of GreenLake
Central Platform modules, such as
Continuous Compliance, Consumption
Analytics, HPE GreenLake Private Cloud
Virtual Machines as a Service, Containers
as a Service and Machine Learning
Operations.
• Describe the role-based access control
concepts of GreenLake Central and
working with HPE support to add users
and assign roles.
• Connect AWS and Azure cloud
subscriptions with Continuous Compliance
and Consumption Analytics.
• Set up Continuous Compliance
assessment schedules, audits and
monitors.
• Use SmartTags to improve Consumption
Analytics reports.
• Describe the provisioning, library
and networking concepts of the HPE
GreenLake Private Cloud service.
• In the HPE GreenLake Private Cloud:
– create and manage provisioning resources
instance types, layouts, and node types.
– create and manage instance customization
resources scripts, file templates and attach
them to node types.
– create and manage option types and attach
them to instance types.
– describe automation concepts apps and
blueprints.
– create their own virtual machine images and
upload them to the cloud.
– create virtual networks and connect them to
the outside world.
– create and manage networks, load balancers
and firewalls.
– work with HPE support to create routers.
– describe the policy and power schedule
concept and configure policies and power
schedules.
– describe how to backup and restore
instances.
• Create, scale, upgrade and view details of
Kubernetes clusters using HPE GreenLake
Containers as a Service.
• Create and view details of machine learning
projects using HPE GreenLake Machine
Learning Operations.
FOLLOW ON COURSES:
Not available. Please contact.