splunk log monitoring

);UTL_FILE.put_line (vsfile, all_record. Client ip );-- UTL_FILE.put_line (vsfile, all_record. Protocol)UTL_FILE.put_line (vsfile, all_record. Number of records );UTL_FILE.put_line (vsfile, sysdate );-- Write the input content to a fileEnd loop;UTL_FILE.fflush (vsfile );UTL_FILE.fclose (vsfile );ExceptionWhen others then-- Sg_log_err ('Manage _ partition ', sqlerrm );Pro_name: = 'Manage _ partition ';Err_info: = sqlerrm;Select sysdate into sj from dual;V_ SQL: = 'insert into err_log values ('|

Nagios monitoring oracle alert Log script, nagiosalertClick Nagios to know how to use it # Add nagios to the oinstall group # usermod-a-G oinstall nagios#! /Bin/shDbversion = 11Bdump =/u01/app/oracle/oradata/PROD/dump/diag/rdbms/prod/PROD/trace/alert_PROD.logSTATE_ OK = 0STATE_WARNING = 1STATE_CRITICAL = 2STATE_UNKNOWN = 3If [$ dbversion = 11]Then ins_log_pwd = $ bdumpElseIns_log_pwd = $ ORACLE_BASE/admin/$

"Unix/linux Network log analysis and Traffic monitoring" new book listing one months, sales ranked TOP 10, thank you for your support, there will be a heavy new book launch, 2015 Happy New Year!650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/57/C0/wKioL1SkpVfChn_nAAaBy3tWQs4478.jpg "title=" screen shot 2015-01-01 a.m. 8.44.22.png "alt=" Wkiol1skpvfchn_naaaby3twqs4478.jpg "/>This article is from t

Nagios monitoring LINUX/var/log/message scriptNot easy to write #! /Bin/shSTATE_ OK = 0STATE_WARNING = 1STATE_CRITICAL = 2STATE_UNKNOWN = 3Currdate = 'date | awk' {print $2, "*", $3 }''If ['/usr/bin/sudo tail-20/var/log/messages | grep "$ currdate" | grep-I-e' error | fail | offline | suspending' | grep-v-E 'nfs | ftp | sshd | telnet | login | timeout | authentic

We often need to know the server's real-time monitoring of the health of the server, such as which URLs are the largest number of visits, the server per second requests, which search engine is crawling our site? Faced with these problems, although we can go to the analysis of the statistical access log files, but it can not let us real-time statistics, can not give us intuitive statistical data. Now, apache

, Head-n 100 will display the first 100 lines More queries Maximum access per minute awk ' {print $} ' Access_log |cut-c 14-18|sort|uniq-c|sort-nr|head the highest hourly access number awk ' {print $} ' acces S_log |cut-c 14-15|sort|uniq-c|sort-nr|head-n Specifies the number of accesses per second of a minute grep ' 01/nov/2013:15:59 ' access.log | cut-d ' ["- F 2 | awk ' {print $} ' | Sort | uniq-c | Sort-nr | Head-60 2. Record CPU and memory usage to

configuration file is/usr/share/logwatch/default.conf/logwatch.conf#vi/usr/share/logwatch/default.conf/logwatch.conf #修改以下几个参数MailTo = Recipient e-mail address to receiveMailfrom = who issuedDetail = low ro Med or High #系统日志分析报告的详细度: Simple, Medium, detailedMailer = "/usr/local/msmtp/bin/msmtp-t" #默认为sendmail, modify the path to MSMTP#保存退出#/usr/share/logwatch/scripts/logwatch.pl--mailto [email protected] #测试目前系统日志分析报告发送至 [email protected] mail, check whether you receive. The default system send

A process is running and constantly writing logs. You need to monitor log file updates in real time (usually used in debug). What should you do? Keep opening and closing files? No. There are at least two methods from two frequently-used commands: Tail-F log.txt, another process is writing logs, and you can use tail to print new content in real time. Less log.txt. If you want to monitor updates, press F. If you want to suspend

/catalina.out "'Popen=subprocess. Popen (command,stdout=subprocess. Pipe,stderr=subprocess. Pipe,shell=True) whileTrue:line=popen.stdout.readline (). Strip () Ws.send (line)Application Front End: logs.html"Init ()">"Log">"msg"Type="textbox"onkeypress="OnKey (Event)"/>"Send ()"> Send Test a piece:Conclusion:Front End--"receiver"--service sideBased on demand use case, casecoding two line parallel, service (M) Consumption (VC) separation, unit, interfac

Wgethttp: // response #! /Bin/shuser = $ USERip =$ {SSH_CLIENT % Wget http://caspian.dotconf.net/menu/Software/SendEmail/sendEmail-v1.56.tar.gz Tar xvf sendEmail-v1.56.tar.gzMusic sendEmail-v1.56 sendEmail Vi/etc/ssh/sshrc#! /Bin/shUser = $ USERIp =$ {SSH_CLIENT % *}If ["$ user "! = "Root"] | ["$ ip "! = "192.168.2.88"]Then /Home/shell/sendEmail-f XXX @ XXX-t XXX @ XXX-s smtp. XXX-u "view who logged on ### 192.168.2.4 ###"-xu USER-xp PASSWD-m "### time: 'date + % Y-% m-% d '###. ### user: $ USE

Using the nagios plug-in to log on to the vro for ping monitoring Router_check_apn_ping.c #include Script auto_ssh_route01_gglc_80_49.sh called #!/usr/bin/expect -f#set port 22set user xxxoooset host 114.66.80.49set password xxxooo@2014set timeout 30spawn ssh $user@$hostexpect "*assword:*"send "$password\r"expect "*IRT*"send "ping -c 5 -m 1000 10.7.0.186\r"expect "*IRT*"send "quit"#expect eof

getconnection (String connectiondescription)throwsIOException, timeoutexception {connectionfactory connectionfactory=getconnectionfactory (); returnconnectionfactory.newconnection (connectiondescription); } Public Staticconnectionfactory getconnectionfactory () {connectionfactory connectionfactory=NewConnectionFactory (); Connectionfactory.sethost ("192.168.1.111"); Connectionfactory.setport (5672); Connectionfactory.setvirtualhost ("/"); Connectionfactory.setusername ("DRS"); Connectionfac

In general, the log first reflects the application of the current problem, in the mass log found in our abnormal records, and then recorded, and according to the situation alarm, we can monitor the system log, Nginx, Apache, business log. Here I take the common MySQL log to

Tags: thread use star Das Plog related detail output and When using a Linux system, consume CPU resources too high and use scripting to troubleshoot:1, real-time monitoring, once there is a high CPU consumption process, the program starts;2, then the process analysis, to draw the corresponding thread;3, the corresponding thread is located in the program log document analysis, such as Websphere Middleware ha

Flume Monitoring hive log files One: Flume Monitor hive Log 1.1 case requirements:1. 实时监控某个日志文件，将数据收集到存储hdfs 上面， 此案例使用exec source ，实时监控文件数据，使用Memory Channel 缓存数据，使用HDFS Sink 写入数据2. 此案例实时监控hive 日志文件，放到hdfs 目录当中。hive 的日志目录是hive.log.dir = /home/hadoop/yangyang/hive/logs1.2 Create a collection directory above HDFs:1.3 Copy the jar package required fo

"Unix/linux Network log analysis and Traffic monitoring" experimental environment download650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M02/53/C2/wKiom1Ru9IygmzgRAAQuIqyf7TA962.jpg "title=" Unix-linux123.jpg "alt=" Wkiom1ru9iygmzgraaquiqyf7ta962.jpg "/>1.Ossim 4.1 Virtual machine Download (for servers running on 2~4g memory)2.Ossim 3.1 Virtual machine download (for older servers running 1~2g memory

There is a access.log log, formatted as follows, with each line starting with an IP address:1. Demand:#1, if you access more than 200 times within the same IP address 60s, add IP to blacklist#需求分析: #1, 60 seconds to read a file #2, split, take the first element, IP address #3, add all the IP to a list, if the IP number more than 200 times, blacklistImport timePoint = 0 #文件指针While True: IPS = [] #存放所有的ip地址 Blk_set = set () #存放需要加入黑名单ip Wit

INTEGER; INSERT into ' t_event_history ' (' starttime ', ' issuccess ', Randno) VALUES (V_starttime,0,v_randno); Begin #异常处理段 DECLARE CONTINUE HANDLER for SQLEXCEPTION begin SET V_error = 1; GET Diagnostics CONDITION 1 r_code = returned_sqlstate, r_msg = Message_text; END; #此处为实际调用的用户程序过程 call Backup_tb_cat (); END; UPDATE t_event_history SET Endtime=now (), Issuccess=1,duration=timestampdiff (Second,starttime,now ()), errormessage= CONCAT (' error= ', R_cod

problem of SQL too long error (default 1M)Scenario Three: Directly query a large time period of data, not statistics, directly back in the library data, in the code (that is, in memory) to go back to the List, for each entity, traversing the time period, the entity to match to this time period, map (key,list), key is the segment number, The list saves the entities for that time period. The data is ultimately counted for each time period. The third scenario, which takes 1-2 seconds, proves again

1 Overview The ELK kit (ELK stack) refers to the three-piece set of Elasticsearch, Logstash, and Kibana. These three software can form a set of log analysis and monitoring tools. 2 Environment Preparation 2.1 Firewall Configuration In order to use HTTP services normally, you need to shut down the firewall: [plain] view plain Copy # service iptables stop Or you can not turn off the firewall, but open the r