Seminarinhalt
Course objectives
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
Programm
- 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
Zielgruppen
Vorkenntnisse
- Basic Hadoop knowledge and intermediate Linux knowledge
- Experience using a Linux text editor such as vi
- Familiarity with the Linux command line options suc