HPE Ezmeral Data Fabric Cluster Administration

System administrators who will be installing, configuring, and maintaining an HPE Ezmeral Data Fabric File and Object Store cluster environment

By the end of the course, the participant should be able to:

• Demonstrate basic cluster administration skills
• Audit and prepare cluster hardware prior to installation
• Run pre-installation tests to verify performance
• Plan a service layout according to cluster configuration and business needs
• Describe the primary architectural components of an HPE Data Fabric installation (nodes, storage pools, volumes, containers, chunks, blocks)
• Use the UI installer or the manual method to install the HPE Ezmeral Data Fabric File and Object Store cluster
• Define and implement an appropriate node topology
• Define and implement an appropriate volume topology
• Set permissions and quotas for users and groups
• Set up email and alerts
• Locate and review configuration files used by the cluster
• Start and stop services
• Use Hadoop commands to perform basic functions
• Use “maprcli” commands to perform basic functions
• Use the MCS
• Assist with data ingestion
• Configure, monitor, and respond to alerts
• Detect and replace failed disks
• Detect and replace failed nodes
• Create and delete snapshots using both maprcli and the MCS
• Create and delete mirrors using both maprcli and the MCS
• Use mirrors and snapshots for data protection
• Add, remove, and upgrade ecosystem components
• Monitor and tune job performance
• Set up NFS access to the cluster

Detailed course outline

Module 1 - Introduction to HPE Ezmeral Data Fabric File and Object Store

• Why data fabric?
• Key features
• Architecture basics

Module 2 - Prepare for Installation

• Security modes
• Configuring data fabric security and managing impersonations
• Plan the cluster and service layout
• Prepare and verify cluster hardware
• Test nodes

Module 3 - Install a Data Fabric Cluster

• Installer options
• Perform a manual installation
• License the cluster

Module 4 - Verify and Test Cluster

• Verify cluster status
• Run post install benchmark tests
• Explore the cluster structure

Module 5 - Work with Volumes

• Data fabric architecture
• Object store architecture and operations
• Node/volume topology
• Attributes for standard volumes
• Design a volume plan
• Name container sizing
• Data tiering

Module 6 - Work with Snapshots

• Describe how snapshots work
• Use and maintain snapshots

Module 7 - Work with Mirrors

• How mirrors work
• Mirroring types
• Using mirrors for disaster recovery

Module 8 - Configure Users and Cluster Parameters

• Manage users and groups
• Use access control expressions
• Accountable entities and quotas
• Configuring policy-based security
• Configuring object store access policies

Module 9 - Configure Cluster Access

• Access cluster data
• Configure virtual IP addresses
• Set up client access

Module 10 - Monitor and Manage the Cluster

• Monitor using the control system and CLI
• Using HPE Ezmeral Data Fabric Monitoring (Spyglass Initiative)
• Configure and respond to alarms

Module 11 - Disk and Node Maintenance

• Managing disks
• Managing nodes
• Configuring balancer settings

Module 12 - Troubleshoot Cluster Problems

• Basic troubleshooting
• Tools and utilities

Detailed lab outline

Lab 2: Prepare for Installation

• Task 1: Plan a service layout
• Task 2: Audit the cluster
• Task 3: Run pre-install tests

Lab 3: Install the Data Fabric

• Task 1: Install and license a secure cluster

Lab 4: Verify and Test the Cluster

• Task 1: Run RWSpeedTest
• Task 2: Explore the cluster

Lab 5: Work with Volumes

• Task 1: Configure node topology
• Task 2: Create volumes and set quotas

Lab 6: Snapshots

• Task 1: Work with snapshots
• Task 2: Restore data from a snapshot

Lab 7: Work with Mirrors

• Task 1: Configure local mirrors

Lab 8: Configure Cluster Settings

• Task 1: Set up users and groups
• Task 2: Control access to the cluster

Lab 9: Configure Cluster Access

• Task 1: Configure VIPs

Lab 10: Monitor and Manage the Cluster

• Task 1: Configure alerts

Lab 11: Disk and Node Maintenance

• Task 1: Replace a failed disk

Lab 12: Troubleshoot Cluster Problems

• Task 1: Troubleshooting
• Task 2: Collect logs for support

Participants in this course should have:

• Basic Hadoop knowledge and intermediate Linux knowledge
• Experience using a Linux text editor such as vi
• Familiarity with the Linux command line options such as mv, cp, ssh, grep, and useradd