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Monitoring with Gangliaby Matt Massie
Synopses & Reviews
Written by Ganglia designers and maintainers, this book shows you how to collect and visualize metrics from clusters, grids, and cloud infrastructures at any scale. Want to track CPU utilization from 50,000 hosts every ten seconds? Ganglia is just the tool you need, once you know how its main components work together. This hands-on book helps experienced system administrators take advantage of Ganglia 3.x.
Learn how to extend the base set of metrics you collect, fetch current values, see aggregate views of metrics, and observe time-series trends in your data. Youll also examine real-world case studies of Ganglia installs that feature challenging monitoring requirements.
Contributors include: Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, and Daniel Pocock. Case study writers include: John Allspaw, Ramon Bastiaans, Adam Compton, Andrew Dibble, and Jonah Horowitz.
With Ganglia, you can monitor the performance of several deployment scenarios—but this tools strength can also be a weakness if you dont know how all its pieces work together. This book shows you how to configure Ganglia to monitor clusters, grids, or cloud infrastructures at very large scales on the order of thousands of machines.
Experienced users will get up to speed on the latest Ganglia release (3.x), including several recent features, such as sFlow support and Ganglias new web frontend. Youll learn how to extend the base set of metrics you collect, fetch current values, see aggregate view of metrics, and look at time-series trends in your data.
About the Author
Matt Massie open-sourced Ganglia in 2000 while working as a Staff Researcher at the University of California, Berkeley. He designed ganglia to monitor a shared computational grid of clusters distributed across the United States for scientific research. In 2010, he contributed a chapter on cluster monitoring for the O'Reilly book "Web Operations: Keeping the Data On Time" by John Allspaw and Jesse Robbins. Matt is currently a software engineer at Cloudera focused on Apache Hadoop enterprise management and monitoring.
Table of Contents
PrefaceChapter 1: Introducing GangliaChapter 2: Installing and Configuring GangliaChapter 3: ScalabilityChapter 4: The Ganglia Web InterfaceChapter 5: Managing and Extending MetricsChapter 6: Troubleshooting GangliaChapter 7: Ganglia and NagiosChapter 8: Ganglia and sFlowChapter 9: Ganglia Case StudiesAdvanced Metric Configuration and DebuggingGanglia and Hadoop/HBaseColophon
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