falcon staffing

Recently exam Bo master relatively busy, first put the idea of simple to say, figure and code after the test to fill.Staffing issues, that is, the collection of staff and work set, to find the most reasonable arrangements.For the Employee collection p, the employee collection is given a certain order according to an F, which requires the work arrangement in that order P (i).For working set J, you can sort by partial order and have a partial order to arrange the work.For each employee correspondi

development of millet monitoring system: Open-falcon. Second, the characteristics 1. Powerful and flexible data acquisition: Auto discovery, Support falcon-agent, SNMP, support user active push, user custom plugin support, OPENTSDB data model like (timestamp, endpoint, metric, Key-value tags) 2, horizontal expansion ability: Support each period of billions of data collection, alarm determination, historica

This is a creation in Article, where the information may have evolved or changed. 1. Overview Indicator statistics is the basis of implementation of APM (Application performance management), usually through the statistics of some indicators and reporting, we can understand the operation of the program, timely detection of problems in the program, in advance to anticipate system bottlenecks.The current implementation of the indicator (metric) is metrics, which is a Java implementation that can be

This is a creation in Article, where the information may have evolved or changed. 1, the binary package installation2. Source code Installation Premise: recommended to use the General account installation1, installation Redis:yum install Redis-y2. Install MySQL (binary mariadb package installation)3. Initializing MySQL database and table structure export HOME=/home/workexport WORKSPACE=$HOME/open-falconmkdir -p $WORKSPACEcd $WORKSPACEgit clone https://github.com/open-

Centos6.5 install open-falcon Environment preparation Install redis yuminstall-yredisInstall mysql yuminstall-ymysql-serverCreate a working directory exportHOME=/home/workexportWORKSPACE=$HOME/open-falconmkdir-p$WORKSPACEcd$WORKSPACEInitialize the mysql table structure # All components of open-falcon do not need to be started with the root account. We recommend that you use a common account for installati

You can try some hybrid deployments based on resource consumption characteristics, high availability requirements, and more. For example:-Transfergraphjudge is the big three of Open-falcon, under the most pressure, the most resources consumption, but does not conflict with each other, you can consider a hybrid deployment of these three sub-services on the high distribution server-alarm Senderlinks resource consumption, but high stability requirements,

#1wget Https://github.com/XiaoMi/open-falcon/releases/download/0.0.5/open-falcon-0.0.5.tar.gz-O open-falcon.tar.gzmkdir tmpTAR-ZXVF open-falcon.tar.gz-c./tmpUpdate Yum Sourcecd/etc/yum.repos.d/MV Centos-base.repo Centos-base.repo.backupwget Http://mirrors.163.com/.help/CentOS6-Base-163.repoYum MakecacheYum-y UpdateFound repos.fedorapeople.org 404, and we're going to find a KillGrep-l repos.fedorapeople.org.

1. First you need to know flume HTTP monitoring if bootingPlease refer to the monitoring parameters of the blog flumeThat is, in Http://localhost:3000/metrics, you can access the following content2. Install the Flume monitor plugin in Open-falcon, refer to the official documentation http://book.open-falcon.org/zh_0_2/usage/flume.htmlOfficial documentation is very unclear, please refer to the next steps in this articleFirst modify the agent's configura

+=pidmemmemsum=int (memsum)//1024#print ("%d%s" % (memsum, "M")) mem_dic[' value '] =memsumpayload.append (mem_dic) # push to Falcon-agent#print (payload) r=requests.post (" Http://127.0.0.1:1988/v1/push ", data=json.dumps (payload)) Defmain ():# list of URLs to parse interface_list =['/wpsad.php ']# log file location log_file= "/data/logs/nginx/ads.access.log" # temporary file location seek_file= "/data/ Logs/nginx/ads_log_check_seek.tmp "Nginx_log=

This is a creation in Article, where the information may have evolved or changed. Operation and maintenance Architecture Service monitoring Open-falcon (HTTP://WWW.RONCOO.COM/COURSE/VIEW/AE1DBB70496349D3A8899B6C68F7D10B) First, IntroductionMonitoring system is the entire operation and maintenance links, and even the entire product life cycle of the most important one, in advance timely early warning found fault, and afterwards provide accurate data fo

The Open-falcon Agent project was preceded by a stand-alone project named Falcon-eye, which comes from the Linux-dash project with its own web page. Agent used to collect machine load monitoring indicators, such as Cpu.idle, Load.1min, Disk.io.util, and so on, every 60 seconds push to transfer. Agent and transfer established a long connection, the data sent faster, the agent provides an HTTP interface/v1/pu

mysql-devel-***# RPM-IVH mysql-client-***# RPM-IVH mysql-shared-***2, according to official website steps to installThe first step, unzip and check the program compilation environment# TAR-ZXVF Falcon-master.tar.gz# CP-RF falcon-master/*/var/www/html/* The following folders are under/var/www/html/*# cd/var/www/html/release/# chmod A+x check.sh#./check.shSee the following information to prove that the progr

Open-falcon Deployment documentation (drawing and alerting)Deploying drawing Components AgentThe monitoring indicators of the acquisition machine, agent and transfer established a long connection, the data is sent faster, the agent provides an HTTP interface/v1/push used to receive user manual push some data, and then quickly forwarded to the transfer through a long connection. CD AgentMV Cfg.example.json Cfg.jsonVim Cfg.json650) this.width=650; "

Use the falcon resource pool in centos 7 and configure it as LVM mirror Ensure thatFalconThe specified device already has a resource pool available for use. Operating Environment# Uname- Linux zzsrv1.localdomain 3.10.0-123. el7.x86 _ 64 # 1smp mon Jun 30 12:09:22 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux# Cat/etc/RedHat-release Centos linuxrelease 7.0.1406 (CORE)Install the iSCSI package # Mount/dev/CDROM/mnt/CDROM/ Mount:/dev/sr0is write-protected, mou

First, the new project Access0. Official documents:Https://book.open-falcon.org/zh_0_2/usage/getting-started.html1, contact operation and maintenance personnel to determine the use of monitoring systems:(1) Machine intranet IP(2) Information of the Receiver of the alarm (account, password)2, the landing page, according to the official document configuration monitoring items:(1) Configuring the machine group HostGroup(2) Configuring the alarm template Templete(3) Binding machine group and alarm t

HDP2.6 later versions, after deploying HDP, the Falcon Web UI warning is inaccessible because a JDBC driver is not specified as a workaround: # wget –O je-5.0.73.jar Http://search.maven.org/remotecontent?filepath=com/sleepycat/je/5.0.73/je-5.0.73.jar #mv remotecontent?filepath=com%2Fsleepycat%2Fje%2F5.0.73%2Fje-5.0.73.jar /usr/share/je-5.0.73.jar#ambari-server setup --jdbc-db=bdb --jdbc-driver=/usr/share/je-5.0.73.jar#ambari-server restartRestart the

This is a creation in Article, where the information may have evolved or changed. Open-falcon-hbs tags (space delimited): Go Falcon Key Features Handling agent heartbeat requests, populating the host table IP whitelist issued by all agents Issued to implement the plug-in information Issued monitoring port, process Cache monitoring Policy Module structure Memory Data Map Structure

Tag: file exists or not; OS #!/usr/bin/python27#-*-Coding:utf8-*-import requestsimport timeimport jsonimport os,os.patheaglecachelog= "PATH/TO/Some_file "ts = Int (time.time ()) if Os.path.isfile (eaglecachelog): state = 1else:state = 0 Print Statecache = [{"Endpoint": "HOSTNAME", "metric": "Eaglecache", "timestamp": TS, "step": +, "value": State, "CounterType": "GAUGE", "tags": "Eaglecache=agent",}] s = Requests.post ("Http://127.0.0.1:1988/v1/push", Data=json. Dumps (cache)) Print S.textThis

1. Install the required modules for python2.7RequestsSetuptools2. Prepare the data source text in the following format:apay_fail:87bpay_fail:432coty_fail:266Dfund_fail:33fpay_fail:61...3. Code Interpretationname:push.py#!/usr/bin/python27#-*-coding:utf8-*-importrequestsimporttimeimportjsonts=int ( Time.time ()) resultlog= '/home/work/monitor/logs/result.log ' #文本转为字典格式的函数def load_source_ Dictfile (filename):d1={}try: withopen (filename, ' r ') asf1: forlineinf1: (Key,value) = Line.strip (' \ n

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