HPE Ezmeral Container Platform Administration I (version 5.0)

• Understand all architecture components of the HPE Ezmeral Container Platform 5.3
• Understand all basic administration concepts of the HPE Ezmeral Container Platform 5.3, including installation, tenant management, user management and maintenance
• Understand application development to cluster handling
• Learn how HPE Ezmeral Container Platform integrates with existing IT infrastructure and integration with MapR
• Understand monitoring and alerting services in HPE Ezmeral Container Platform

Introduction

• Introduction
• Learning objectives review
• Course schedule review
• HPE Ezmeral Container Platform architecture overview
• Control plane/management overview
• Network architecture overview
• Handling distributed stateful app
• Storage architecture overview

HPE Ezmeral Container Platform Packaging— Install, Upgrade

• Requirement gathering and planning
• HPE Ezmeral Container Platform installation checklist
• HPE Ezmeral Container Platform sizing tool
• Installation/deployment
• Deployment + ecosystem planning
• Worker/gateway deployment methods
• App Store
• Virtual cluster lifecycle (including scripts)
• Container placement using host tags
• Adding host to create Kubernetes cluster
• Airgap support
• License
• Upgrade
• Kubernetes cluster rolling upgrade

HPE Ezmeral Container Platform Multi-Tenancy

• Multi-tenancy
• What is a tenant
• Comparison EPIC tenant and K8s tenant
• Tenant management
• Kubernetes: Creating tenant
• Kubernetes: Tenant and namespace
• HPE Ezmeral Container Platform agent operator: Tenant management

HPE Ezmeral Container Platform User Role

• User roles
• Role and corresponding view
• Navigating to different roles
• User authentication
• HPE Ezmeral Container Platform management login
• User authentication into HPE Ezmeral Container Platform with 3 different methods
• Exercise: Tenant group membership
• RBAC: Role binding (authorization)
• HPE Ezmeral Container Platform five users roles
• HPE Ezmeral Container Platform role is mapped to K8s role (RBAC)
• Session management
• User authenticated sessions

HPE Ezmeral Container Platform Storage

• Overall storage architecture
• Ephemeral storage
• Tenant share
• HDFS
• DataTap
• Application persistent storage
• Container migration
• FS mount/DTap management
• MapR management

 MapR Integration

• MapR terminology
• MapR services
• HPE Ezmeral Container Platform and MapR integration
• MapR Control System (MCS)
• MapR user accounts
  

HPE Ezmeral Container Platform Application

• Complex stateful application deployment
• App Store
• Kubernetes application management
• Anatomy of Kubedirector application
• Application lifecycle
• Deploy application
• Deployment vs statefulset
• start, stop, scale virtual cluster
• Kubedirector operator

HPE Ezmeral Container Platform Monitoring and Alerting

• Kubernetes cluster service monitoring
• Dashboard monitoring
• Usage monitoring
• Monitoring architecture
• HPE Ezmeral Container Platform usage monitoring tools
• Kibana: UI visualization
• Collecting container node storage usage
• Elasticsearch monitoring logs
• Elasticsearch common tasks
• Best practice
• SNMP alerts and SMTP notification
• From planning to production to optimization—Big-Dataas-a-Service lifecycle
• Create and secure environments
• Monitor, manage and optimize
• Optimize memory usage
  

HPE Ezmeral Container Platform Technical Overview

• Control plane/management overview
• Network architecture overview
• Handling distributed stateful app (App Store and deployment)
• Container application services
• Storage architecture overview
• Ephemeral and persistent disks
• Application persistent storage
• Rest API
  

HPE Ezmeral Container Platform Network

• Overall network architecture
• Linux virtual networking
• Docker networking
• HPE Ezmeral Container Platform gateway
• Gateway Loadbalancer
• Case study: HPE Ezmeral Container Platform gateway
• Gateway configuration scenarios
• Kubernetes core DNS
• EPIC: DNS for containers
• Container network
• Kubernetes network
• Virtualized networking
• Networking in multi-tenant environment

Add-on and Picasso integration

• Kubernetes Deployment and Add-ons
• Picasso Cluster Deployment

Detailed lab outline

Module 1: Login to HPE Ezmeral Container Platform

• Task 1: Login
• Task 2: Monitoring via HPE Ezmeral Container Platform Dashboard

Module 2: HPE Ezmeral Container Platform — Cluster Management

• Task 1: Create cluster
• Task 2: App Store and virtual cluster
• Task 3: ActionScript and Bootstrap script
• Task 4: Virtual node resource
• Task 5: Container placement

Module 3: User Roles

• Task 1: Create local users
• Task 2: Configure external authentication for project members
• Task 3: Observe differences in tenant membership
• Task 4: Observe user membership

Module 4: HPE Ezmeral Container Platform Tenant Management

• Task 1: Create tenants
• Task 2: Action performed on tenants

Module 5: Kubernetes Tenant Management

• Task 1: Creating Kubernetes tenant
• Task 2: Accessing a Kubernetes tenant
• Task 3: Accessing Kubernetes web terminal
• Task 4: KubeDirector application image

Module 6: HPE Ezmeral Container Platform—User Management

• Task 1: Create user
• Task 2: AD/LDAP login
• Task 3: Logon to container
• Task 4: Container logon to container via AD/LDAP

Module 7: Kubernetes User Management

• Task 1: Internal user management
• Task 2: External user management—AD/LDAP User

Module 8: HPE Ezmeral Container Platform — Storage Management

• Task 1: Storage concepts and DataTap

Module 9: Kubernetes Applications Management

• Task 1: Launch an application using KubeDirector app images
• Task 2: Access application using service endpoints

Module 10: HPE Ezmeral Container Platform — Monitoring

• Task 1: BDaas monitoring

Module 11: HPE Container Platform—Network Management

• Task 1: Network—validate network isolation

• 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