monitoring hadoop cluster with nagios

server via direct routing vs/ DR (Virtual Server via Direct Routing), which can greatly improve the scalability of the system. Vs/nat, Vs/tun and VS/DR technologies are three IP load balancing technologies implemented in LVS cluster. Nagios Introduction Nagios is a monitoring system that monitors system operation st

production environment Hadoop large cluster fully distributed mode installation 2013-3-7 Installation Environment Operating platform: Vmware2 Operating system: Oracle Enterprise Linux 5.6 Software version: Hadoop-0.22.0,jdk-6u18 Cluster Architecture: Node,master node (hotel01), slave node (hotel02,hotel03 ...)

Hadoop consists of two parts: Distributed File System (HDFS) Distributed Computing framework mapreduce The Distributed File System (HDFS) is mainly used for the Distributed Storage of large-scale data, while mapreduce is built on the Distributed File System to perform distributed computing on the data stored in the distributed file system. Describes the functions of nodes in detail. Namenode: 1. There is only one namenode in the

Nagios monitoring heartbeat, nagiosheartbeat After heartbeat is set up, we need to monitor it. Next we will learn how to monitor it. First, let's take a look at the following commands. These commands will be automatically added after heartbeat is installed. Our monitoring script will use these commands. [Root @ usvr-210 libexec] # which cl_status/usr/bin/cl_stat

Deploy check_mysql_health on Nagios to monitor MySQLBlog Category: Architecture This monitoring is based on the Nagios server active monitoring method, using Check_mysql_health to implement a variety of monitoring modes:Connection-time (time to connect to the se

not Runni Ng on this node "exit $CRITICALfideclare-I i=0declare-i a=0nodes= ' $CL _st listnodes ' for node in $NODESdo status= ' $CL _st Nodestatus $node ' let i= $I +1# if [$status = = "Active"] by default, the number of active states is detected, but the ping status is also normal, so the following conditions are changed. if [$status = = "Active"-o $status = = "Ping"] then let a= $A +1 fidoneif [$A-eq 0]then echo "Heartbeat CRITICAL: $A/$I "Exit $CRITICALelif [$A-ne $I]then echo" Heartbeat

The following software is widely used in the Internet industry, but its pronunciation is often "one English, each expressing" Nagios is the IT infrastructure monitoring software, Home PageHttp: // www.Nagios. Org/ (As pronounced by Ethan, the author of Nagios ): Http://community.nagios.org/audio/nagiospronunciation.mp3 Cacti is a graphic tool for ne

BKJIA exclusive Article] I am a linux/unix system engineer who uses Nagios to automatically monitor the company's intranet development environment and Internet application environment. Nagios has powerful alarm functions, but sometimes our system group has this need, especially when the system is busy, we want to leave logs for analysis: whether it is under attack, the developer is not properly set, or the

system. In practical application scenarios, the Administrator optimizes Linux kernel parameters to improve the job running efficiency. The following are some useful adjustment options.(1) Increase the file descriptor and network connection limit opened at the same time.In a Hadoop cluster, due to the large number of jobs and tasks involved, the operating system kernel limits the number of file descriptors

and need to work with active NN and standby NN report block information; Advantages: Information is not lost, recovery fast (seconds) Disadvantage: Facebook based on Hadoop0.2 development, the deployment of a little trouble; additional machine resources are required, and NFS becomes another single point (but with a low failure rate) of 4. Hadoop2.0 directly supports standby NN, draws on Facebook's avatar, and then makes some improvements: information is not lost, recovery is fast (seconds), sim

node. When a job is committed, Jobtracker receives the submit job and configuration information, and distributes the configuration information to the node, dispatching the task and monitoring the execution of the Tasktracker. As can be seen from the above introduction, HDFs and MapReduce together form the core of the Hadoop Distributed system architecture. HDFs realizes Distributed File system on the

. Apache. hadoop. hbase. Metrics. file. timestampingfilecontext # rpc. filename = /Tmp/metrics_rpc.log # configuration of "RPC" Context for ganglia # Pick one: Ganglia 3.0 (former) or ganglia 3.1 (Latter) # rpc. Class = Org. Apache. hadoop. Metrics. ganglia. gangliacontext rpc. Class = Org. Apache. hadoop. Metrics. ganglia. gangliacontext31 rpc. Period = 10 Rpc.

Is the cluster set up correctly? The best way to answer this question is empirically: Run some jobs and confirm that you get the expected results. benchmarks make good tests, as you also get numbers that you can compare with other clusters as a sanity check on whether your new cluster is refreshing roughly as expected. and you can tune a cluster using benchmark r