Darum lohnt sich der Kurs
Mit praxisorientierten Übungen vermittelt dieser Kurs alle relevanten Themen rund um die Installation, Administration und das Monitoring von HPE Ezmeral Runtime Enterprise 5.6. Sie lernen, wie Kubernetes integriert wird, Mandanten verwaltet und Anwendungen effizient bereitgestellt und überwacht werden.Seminarinhalt
This course is for administrators who want to learn about the installation, upgrade, system management, network integration and other tasks required to effectively administer HPE Ezmeral Runtime Enterprise 5.6. Hands-on labs are included.
Course objectives
After completing this course, you should be able to:
Course objectives
After completing this course, you should be able to:
- Understand all architecture components of HPE Ezmeral Runtime Enterprise 5.6
- Understand all basic administration concepts of HPE Ezmeral Runtime Enterprise 5.6, including installation, tenant management, user management and maintenance
- Understand application development to cluster handling
- Learn how HPE Ezmeral Runtime Enterprise integrates with existing IT infrastructure and integration with MapR
- Understand monitoring and alerting services in HPE Ezmeral Runtime
Programm
Module 1: Introduction to HPE Ezmeral Runtime Enterprise
Module 2: Install and Configure HPE Ezmeral Runtime Enterprise
Module 3: Kubernetes Clusters
Module 4: Multi-Tenancy
Module 5: User Role
Module 6: Deployiing Applications
Module 7: Data Access
Module 8: Monitoring and Troubleshooting
- List the pre-requisites for this course
- List Kubernetes concepts pre-requisite for this course
- Describe containers and Kubernetes
- Discuss VMs and Kubernetes
- Describe Docker, containerd and Kubernetes interconnection
- List container use cases
- Describe HPE Ezmeral Runtime Enterprise
- Identify the need for HPE Ezmeral Runtime Enterprise
- Explain the HPE Ezmeral Runtime Enterprise control plane architecture
Module 2: Install and Configure HPE Ezmeral Runtime Enterprise
- List HPE Ezmeral Runtime Enterprise host resource requirement
- State operating system support
- Discuss the worker and gateway deployment method
- List multiple Kubernetes version support
- Recognize HPE Ezmeral Runtime Enterprise licensing
- Discuss KubeDirector and its new features
- Identify storage architecture--ephemeral vs persistent
- Explain air gap support and utility
- Execute HPE Ezmeral Runtime Enterprise installation
Module 3: Kubernetes Clusters
- Discuss adding Kubernetes data fabric and compute hosts
- Implement Kubernetes data fabric cluster creation
- Describe the data fabric registration process
- Discuss Kubernetes compute cluster creation overview
- Implement Kubernetes compute cluster creation
- Operate Kubernetes cluster creation commands
- Identify ISTIO add-on support
- State policy management support
- Discuss importing external clusters
Module 4: Multi-Tenancy
- Discuss multi-tenancy
- Describe tenant management
- Define Kubernetes tenant creation process
- List Kubernetes tenant roles
Module 5: User Role
- Define user roles
- Discuss user authentication
- Describe role binding
Module 6: Deployiing Applications
- Describe the deployment process of “Hello World” application using CLI and GUI
- Describe the deployment process of “Spring boot” application using CLI and GUI
- Describe the deployment process of “Hello World” using Helm chart
Module 7: Data Access
- Describe FSMount
- Explain DTAP
- Recognize NFS support
Module 8: Monitoring and Troubleshooting
- Identify platform service health monitoring
- List platform dashboard monitoring options available
- Identify troubleshooting log files and their usage
Zielgruppen
Hadoop administrators, system administrators, network administrators, IT managers
Vorkenntnisse
Before attending this course, you should have:
- Unix/Linux user and administration experience
- Hadoop/AI/big data application administration experience (Cloudera/ Hortonworks, Jupyter Notebook, Tensorflow, etc.)
- Experience in machine learning lifecycle (e.g. model training/development and model deployment)
- bash/shell/python scripting
