This code snippet shows how to kich off a performance data gathering shell script with telnetlib and download the data back to a local workstation with ftplib.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | #automate a log grabber script with telnetlib and ftplib
# LOG_GRABBER is a shell script which will grab the logs from the production logs.
# It may invoke other shell script, perl, shell, python etc to get its job done.
# A generic example: getAccountBalance, 500
# this means getAccountBalance function takes about 500 ms to finish.
# its end result is saved in LOG_OUT in any format you may import later for analysis.
import telnetlib
from ftplib import FTP
# full path to them
LOG_GRABBER='/users/perfmon/grabLogs.sh'
LOG_OUT='logstats.txt'
prdLogBox='142.178.1.3'
uid = 'uid'
pwd = 'yourpassword'
# kick off the log grabber via telnet
tn = telnetlib.Telnet(prdLogBox)
tn.read_until("login: ")
tn.write(uid + "\n")
tn.read_until("Password:")
tn.write(pwd + "\n")
tn.write(LOG_GRABBER+"\n")
tn.write("exit\n")
tn.close()
# download the timing statistics to local via FTP
ftp=FTP(prdLogBox)
ftp.login(uid,pwd)
#ftp.set_debuglevel(2)
logOut=open(LOG_OUT,'wb+')
ftp.retrbinary('RETR '+LOG_OUT, logOut.write)
ftp.quit()
logOut.close()
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This recipe is used for performance monitoring in real procution environment. It is non-intrusive as the timing log (LOG4J actually) has been produced daily and copy to a differnt server during the non-rush hour.
Gather timing statistics in log daily from a production environment during the non rush hour, then download the results, put the results into a RDBMS, calculate the statistics such as min,max,avg,median, deviation.