Monitoring with Ganglia: Tracking Dynamic Host and Application Metrics at Scale
Massie, Matt; Li, Bernard; Nicholes, Brad; Vuksan, Vladimir; Alexander, Robert; Buchbinder, Jeff; Costa, Frederiko; Dean, Alex; Josephsen, Dave; Phaal, Peter; Pocock, Daniel
Language: English
Published by O'Reilly Media, 2012
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9781449329709_new
- Title
- Monitoring with Ganglia: Tracking Dynamic Host and Application Metrics at Scale
- Author
- Massie, Matt; Li, Bernard; Nicholes, Brad; Vuksan, Vladimir; Alexander, Robert; Buchbinder, Jeff; Costa, Frederiko; Dean, Alex; Josephsen, Dave; Phaal, Peter; Pocock, Daniel
- Publisher
- O'Reilly Media
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1449329705
- ISBN 13
- 9781449329709
- Item weight
- 564 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
Bernard Li is a High Performance Computing (HPC) Systems Engineer at Lawrence Berkeley National Laboratory. He is currently one of the maintainers of the Ganglia project. He has been involved with HPC since 2003 and has worked on Open Source projects such as OSCAR, SystemImager and Warewulf.
Brad Nicholes is a member of the Apache Software Foundation and is currently working as a Consultant Software Engineer for NetIQ. In addition to being a committer on the Apache HTTPD and APR projects, Brad is also a developer as well as one of the administrators of the Ganglia project. As a developer on the Ganglia project, Brad developed and introduced the C/C++ and Python metric module interface into Gangla 3.1.x. He also developed and contributed several of the initial metric modules that currently ship with Ganglia. Brad attended school at the University of Utah and Brigham Young University and holds a degree in Computer Science.
Vladimir Vuksan (Broadcom) has worked in technical operations, systems engineering and software development for over 15 years. Prior to Broadcom he has worked at Mocospace, Rave Mobile Safety, Demandware, University of New Mexico implementing high availability solutions and building tools to make managing and running infrastructure easier.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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