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Hi,
I'm using GNU/Linux, how can I connect another Linux (same distro) and get stats like CPU, Disk, also using df? So that I don't have to go thru all ...
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- 02-04-2013 #1Just Joined!
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Using SAR to get stats from other linux machine
Hi,
I'm using GNU/Linux, how can I connect another Linux (same distro) and get stats like CPU, Disk, also using df? So that I don't have to go thru all 20 of them to check every morning.
- 02-04-2013 #2
Hi and welcome usually monitoring and graphing webtools are used. Have a look at e.g. nagios, xymon for monitoring and e.g. cacti, collectd for graphing.
You must always face the curtain with a bow.
- 02-09-2013 #3Linux Guru
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I use sar, and process that data to push in real-time into a Hadoop/OpenTSDB/HBase database, which allows me to analyze performance data from 1000's of servers in real-time. IE, I have a data collector that takes data from SAR, converts that to OpenTSDB (OpenTSDB - A Distributed, Scalable Monitoring System) put commands, and sends it to OpentTSDB. 500 servers that collect SAR data in 1 minute intervals will generate about 350M data points per day, and this will let you chart your systems' performance (or problems) quite nicely. My Hadoop cluster (6 data nodes w/ 1TB each for data), can handle about 1 year of data from 500 nodes.
Sometimes, real fast is almost as good as real time.
Just remember, Semper Gumbi - always be flexible!
- 02-09-2013 #4
Wow, new toy

Thanks for the info about OpenTsdb, looks promising.You must always face the curtain with a bow.
- 02-09-2013 #5Linux Guru
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- Apr 2009
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- I can be found either 40 miles west of Chicago, or in a galaxy far, far away.
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I've spent the better part of the past year working on this cruft. We are now in beta production (in 1 data center w/ 600 servers), and as soon as I configure a "real" production cluster, we will go into world-wide production data collection. With SAR, application stats, and SNMP data, each data center (4 or 5 world-wide) will generate about 1B data points per day, each. Our first DC went live in December, and is running like a clock!
It has already saved more $$ than it costs in detecting system issues that our operations and network operations staff did not, such as servers that were running, but not getting any data loads, etc.
Sometimes, real fast is almost as good as real time.
Just remember, Semper Gumbi - always be flexible!


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