Data Fabric Cluster Maintenance (v6) - ADM 203

Data Fabric Cluster Maintenance (v6) - ADM 203

Covers how to maintain and troubleshoot an installed cluster,using monitoring to build custom dashboards, configure alerts and respond to various cluster alarms

About this Course

This course teaches administrators how to maintain and troubleshoot an installed cluster. You will get an overview of using Monitoring to build custom dashboards, and learn how to configure alerts and respond to various cluster alarms.  For cluster maintenance, you will learn to service, add, and remove disks and nodes. Finally, this course covers basic troubleshooting and how to collect logs for support.

This is the fourth of five courses in the Cluster Administration Series.

What's Covered

Course Lessons Lab Activities

10: Monitor and Manage the Cluster

Monitor Using the MCS and CLI
Use MapR Monitoring
Configure and Respond to Alarms

 

Configure Alerts

11: Disk and Node Maintenance

Add Disks
Replace Failed Disks
Remove or Maintain Nodes
Add Nodes

 

Replace a Disk

12: Troubleshooting Cluster Problems

Basic Troubleshooting
Tools and Utilities

 

Troubleshooting
Collect Logs for Support

Prerequisites

  • Best results when this course is taken after completing ADM 200, ADM 201 and ADM 202, in the Data Fabric Cluster Admin series
  • Completion of Intro to Big Data  and Apache Hadoop Essentials  is recommended
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a Linux text editor such as vi
  • Familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd

Curriculum

  • Lesson 10 - Monitor and Manage the Cluster
  • Quiz 10
  • Lesson 11 - Disk and Node Maintenance
  • Quiz 11
  • Lesson 12 - Troubleshooting Cluster Problems
  • Quiz 12
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide
  • Course Sandboxes

About this Course

This course teaches administrators how to maintain and troubleshoot an installed cluster. You will get an overview of using Monitoring to build custom dashboards, and learn how to configure alerts and respond to various cluster alarms.  For cluster maintenance, you will learn to service, add, and remove disks and nodes. Finally, this course covers basic troubleshooting and how to collect logs for support.

This is the fourth of five courses in the Cluster Administration Series.

What's Covered

Course Lessons Lab Activities

10: Monitor and Manage the Cluster

Monitor Using the MCS and CLI
Use MapR Monitoring
Configure and Respond to Alarms

 

Configure Alerts

11: Disk and Node Maintenance

Add Disks
Replace Failed Disks
Remove or Maintain Nodes
Add Nodes

 

Replace a Disk

12: Troubleshooting Cluster Problems

Basic Troubleshooting
Tools and Utilities

 

Troubleshooting
Collect Logs for Support

Prerequisites

  • Best results when this course is taken after completing ADM 200, ADM 201 and ADM 202, in the Data Fabric Cluster Admin series
  • Completion of Intro to Big Data  and Apache Hadoop Essentials  is recommended
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a Linux text editor such as vi
  • Familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd

Curriculum

  • Lesson 10 - Monitor and Manage the Cluster
  • Quiz 10
  • Lesson 11 - Disk and Node Maintenance
  • Quiz 11
  • Lesson 12 - Troubleshooting Cluster Problems
  • Quiz 12
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide
  • Course Sandboxes

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