Ambari User's Guide
Copyright © 2012-2014 Hortonworks, Inc.
 | Except where otherwise noted, this document is licensed under Creative Commons Attribution ShareAlike 3.0 License |
Hortonworks Data Platform (HDP) and any of its components are not anticipated to be combined with any hardware, software or data, except as expressly recommended in this documentation.
2015-04-13
Abstract
The Hortonworks Data Platform, powered by Apache Hadoop, is a massively scalable and 100% open source platform for storing, processing and analyzing large volumes of data. It is designed to deal with data from many sources and formats in a very quick, easy and cost-effective manner. The Hortonworks Data Platform consists of the essential set of Apache Hadoop projects including MapReduce, Hadoop Distributed File System (HDFS), HCatalog, Pig, Hive, HBase, Zookeeper and Ambari. Hortonworks is the major contributor of code and patches to many of these projects. These projects have been integrated and tested as part of the Hortonworks Data Platform release process and installation and configuration tools have also been included.
Unlike other providers of platforms built using Apache Hadoop, Hortonworks contributes 100% of our code back to the Apache Software Foundation. The Hortonworks Data Platform is Apache-licensed and completely open source. We sell only expert technical support, training and partner-enablement services. All of our technology is, and will remain free and open source.
Please visit the Hortonworks Data Platform page for more information on Hortonworks technology. For more information on Hortonworks services, please visit either the Support or Training page. Feel free to Contact Us directly to discuss your specific needs.
Contents
- 1. Overview: Ambari User's Guide
- 2. Monitoring and Managing your HDP Cluster with Ambari
- 1. Viewing Metrics on the Dashboard
- 2. Scanning System Metrics
- 3. Drilling Into Metrics for a Service
- 4. Viewing Cluster-Wide Metrics
- 5. Adding a Widget to the Dashboard
- 6. Resetting the Dashboard
- 7. Customizing Metrics Display
- 8. Viewing More Metrics for your HDP Stack
- 9. Viewing Heatmaps
- 10. Scanning Status
- 3. Managing Hosts
- 4. Managing Services
- 1. Starting and Stopping All Services
- 2. Selecting a Service
- 3. Adding a Service to your Hadoop cluster
- 4. Editing Service Config Properties
- 5. Viewing Summary, Alert, and Health Information
- 6. Performing Service Actions
- 7. Monitoring Background Operations
- 8. Using Quick Links
- 9. Rolling Restarts
- 10. Refreshing YARN Capacity Scheduler
- 11. Rebalancing HDFS
- 5. Managing Service High Availability
- 6. Managing Configurations
- 7. Administering the Cluster
- 8. Monitoring and Alerts
