Monitoring with Ganglia
Tracking Dynamic Host and Application Metrics at Scale

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. You’ll also examine real-world case studies of Ganglia installs that feature challenging monitoring requirements.

  • Determine whether Ganglia is a good fit for your environment
  • Learn how Ganglia’s gmond and gmetad daemons build a metric collection overlay
  • Plan for scalability early in your Ganglia deployment, with valuable tips and advice
  • Take data visualization to a new level with gweb, Ganglia’s web frontend
  • Write plugins to extend gmond’s metric-collection capability
  • Troubleshoot issues you may encounter with a Ganglia installation
  • Integrate Ganglia with the sFlow and Nagios monitoring systems

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.

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oreillyMonitoring with Ganglia
 
4.5

(based on 2 reviews)

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(1 of 1 customers found this review helpful)

 
4.0

An awesome book to an awesome tool

By Fabio Alessandro Locati

from Milan, Italy

About Me Sys Admin

Verified Reviewer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Expert
    • Intermediate
    • Student

    Comments about oreilly Monitoring with Ganglia:

    Ganglia is the most robust and scalable tool for performance monitor I've tried or heard of.

    This book, written by some of the top contributor of the project, is an awesome guide to Ganglia.

    Due to its organization and the authors writing style, the book is easy to understand and can be read as a "full-guide" reading it from the first page to the last one, or a reference book reading only the parts that are relevant to you in that specific moment.

    Due to the software nature and history, the authors always speak about scalability and big-number-optimization, leaving the reader that is looking for a simple one-node configuration a little bit confused. The confusion, as far as I can tell, disappears pretty soon. This is the only downside I found in the book: there is a lot of information about big environments but close to none information specific for small or single-node environments.

    The two chapters I liked the most are the Chapter 7 (Ganglia and Nagios) and the Chapter 9 (Ganglia Case Studies). The Chapter 7, as the title makes easy to guess, suggests how to make Ganglia and Nagios to pass information one to the other. I believe this is very important since I usually find that both tools are not perfect, but they are (close to be) perfectly complementary. Chapter 9 brings up 6 real-world cases and a lot of information that are really useful if you plan to create an environment somehow similar to one (ore more) of the presented cases.

    I would definitely suggest this book to anyone is facing an installation or a configuration of Ganglia or to anyone has to monitor multiple systems in an optimized way.

    Disclaimer: I received a free electronic copy of this book as part of the O'Reilly Blogger Program

    (1 of 1 customers found this review helpful)

     
    5.0

    Great book

    By Critical reviewer

    from San Jose, CA

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Expert
      • Intermediate
      • Novice
      • Student

      Comments about oreilly Monitoring with Ganglia:

      I've used Ganglia a lot. Even so, this book definitely helped me learn more.

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