kind clusters

This article describes the use of Docker-machine to build a Docker swarm cluster; Docker swarm is the official Docker-built container cluster orchestration tool, and container orchestration allows you to use a cluster like a machine, The container you are running may run on any node in the container;First, steal a Docker swarm architecture diagram:Photo source https://yeasy.gitbooks.io/docker_practice/content/swarm/intro.htmlWhen using Swarm to manage Docker

the scheduler becomes a performance bottleneck; Ha is known as a highly available cluster, where MTBF (mean time to failure) and MTTR (mean time to repair) and availability=mtbf/(MTBF+MTTR) are the concept, and once we tend to make MTTR time 0, Cluster high availability will be good, for different business, the availability requirements are different, generally reduce mttr to improve availability; HP is called a high-performance cluster, centralizing the computing power of multiple servers to c

most important step is to open the. vmx file in each virtual machine and add disk.locking= "FALSE" (You can open it in Notepad) at the end. In addition, Win2003 needs to install SCSI driver, to the VMware Web site can be down to the drive virtual floppy image (address: http://www.vmware.com/download/downloadscsi.html). Then point the virtual floppy drive to the mirror, install the SCSI driver for each virtual machine, and then convert the two SCSI disks into basic disks in Disk Management, crea

A server cluster is a set of stand-alone servers that work together and run Microsoft Cluster Service (Microsoft Cluster Service,mscs). Server clusters provide high availability, failure recovery, scalability, and manageability for resources and applications. Server clusters allow clients to access applications and resources in the case of failures and scheduled pauses. If one of the servers in the cluster

Experimental environment: Xian Lingyun system Hi-Tech Co., Ltd. the database server provides a database service for foreground applications, Domain name for the angeldevil.com, in order to guarantee the reliability and efficiency of the device; the company employs a server cluster, which consists of two servers; In order to meet the needs of the server, one DC is a member machine, each server has two network adapters, they have a SCSI disk (the quorum disk), and then in each service A node is c

MariaDB galera Cluster Deployment (How to quickly deploy MariaDB clusters) ONEAPM Blue ocean CyberLinkpublished on July 3 Recommended 4 Recommendations Collection 14 Favorites,1.1k browsing MariaDB, as a branch of Mysql, is already widely used in open source projects, such as hot OpenStack, so the cluster deployment is essential to ensure high availability of the service while increasing the load capacity of the system.MariaDB Galer

Tags: database name mmm using primary primary POS IPs cal def LocalBuild mysql-mmm high-availability clusters MMM profile: mmm (master-master Replication Manager for MySQL) is a set of scripts that support dual-master failover and dual-master daily management. MMM is developed using the Perl language, which is mainly used to monitor and manage MySQL Master-master (dual master) replication, although it is called dual master replication, but only

192.168.12.30-p 11211-c 10000-m-F 1.1-p/tmp/memcached. PidRoot 15068 0.0 0.0 103320 832 pts/1 r+ 16:37 0:00 grep memcached-P -U -L -D Duli Process runs-U -M -P Magent Installation:mkdir magentCD magentTar zxvf magent-0.5.tar.gzVI ketama.h (added at the beginning)#ifndef Ssize_max# define Ssize_max 32767#endif/sbin/ldconfigSed-i "s#libs =-levent#libs =-levent-lm#g" MakefileMakeCP magent/etc/rc.d/init.d//etc/init.d/magent-u root-n 51200-l192.168.12.30-p 12000-s 192.168.12.30:11211Ps-ef | grep mag

bind_port.3, in general, this is enough, but there are exceptions, if still not, look at the following possibilities:(1) Cluster Server can not connect, there is no firewall and so on(2) Each server is not a complete, unique hostname, if your hostname has Chinese, suggest to change to English, if you happen to use a Mac computer development test, then its computer name and hostname are two different things, the default hostname is localhost, This is not going to work.(3) Now eclipse can decompi

the metadata first2 starting three Journalnode processeshadoop-daemon.sh Start Journalnode3 Formatting NamenodePerformed on a namenode:HDFs Namenode-formatThis step will connect the Journalnode, and the Journalnode will be formatted as well.4 start HDFs on the namenode that you just formatted:CD $HADOOP _home/sbin;./start-dfs.sh5 Perform on another namenode:HDFs Namenode-bootstrapstandby6 Verifying manual fail overExecute on any one of the Namenode:HDFs Haadmin-help can see the command usage, h

#./scheduler.sh 127.0.0.1#./controller-manager.sh 127.0.0.1# echo "Export path= $PATH:/opt/kubernetes/bin" >>/etc/profile# Source/etc/profile seven. Run node componentUnzip the prepared package: Unzip Node.zip# Mkdir-p/opt/kubernetes/{bin,cfg}# MV Kubelet Kube-proxy/opt/kubernetes/bin# chmod +x/opt/kubernetes/bin/* chmod +x *.sh# MV *.kubeconfig/opt/kubernetes/cfg/#./kubelet.sh 192.168.1.196 10.10.10.2#./proxy.sh 192.168.1.196This node IP is the native eth0 network card IP address.Viii. Queryin

/keepalived.confglobal_defs { router_id HA_TEST_R2 ##本服务器的名称}vrrp_instance VI_1 { ##定义VRRP热备实例 state BACKUP ##MASTER表示主服务器,BACKUP代表从 priority 60 ##优先级，数值越大优先级越高5. Loading the LVS modulemodprobe ip_vs echo "modprobe ip_vs" >>/etc/rc.localGateway (acting as a router connecting the public network)1. Configure IPvim /etc/sysconfig/network-scrips/ifcfg-eth0DEVICE=eth0TYPE=EthernetONBOOT=yesNM_CONTROLLED=noBOOTPROTO=staticIPADDR=192.168.1.1NETMASK=255.255.255.0cp /et

boot from boot4) Configure Keepalived. Vim/etc/keepalived/keepalived.confAfter modifying the configuration restart Keepalived service.5) from the scheduler configurationRouter-id LVS2State BACKUPPriority 99The remaining configuration items are the same, and the configuration restart Keepalived service is completed after modification.3. Verifying the Cluster1) Login 172.16.16.172Change a computer to log inThis successfully verifies the load balancing of the polling scheduling algorithm (RR)2) Ve

>/proc/sys/net/ipv4/conf/all/arp_ignore echo 1 >/proc/sys/net/ipv4/conf/lo/arp_ignore echo 2 >/proc/sys/net/ipv4/conf/all/arp_announce Echo 2 >/proc/sys/net/ipv4/conf/lo/arp_announce ifconfig $dev $vip netmask $mask #broadcast $vip up #ro Ute Add-host $VIP Dev $dev echo "The RS Server is ready!" ;; Stop) ifconfig $dev down echo 0 >/proc/sys/net/ipv4/conf/all/arp_ignore echo 0 >/proc/sys/net /ipv4/conf/lo/arp_ignore echo 0 >/proc/sys/net/ipv4/conf/all/arp_announce echo 0 >/proc/

template:metadata:labels:name:kafka-service-3 App:kafka-ser Vice-3 spec:containers:-name:kafka-3 Image:wurstmeister/kafka Imagepullpolicy:ifnotpresen T ports:-containerport:9092 env:-Name:kafka_advertised_port value: "9092" -Name:kafka_advertisEd_host_name value: [Kafka-service3 Clusterip]-Name:kafka_zookeeper_connect value:zoo1:2181,z OO2:2181,ZOO3:2181-NAME:KAFKA_BROKER_ID Value: "3"An operation to create a new topic was performed in Deployment1.3. TestingThe test method is basically t

This piece of oneself did not do the test, and the platform Shangjuan Juan after communication, directly from the history command to find the relevant orders, thanks to the original author and provide help to colleagues netizens. If there is a problem follow-up and change.1. Add endpoint to the serviceSee figureCreateConnection Name OptionalThe server URL should be the path to the ApiserverKubeconfig should be the user information of the created TFSAdminShangjuan Juan is created by:KUBECTL Creat

Kmeans is a classical algorithm in clustering, and the process is as follows:Select K points as the initial centroidRepeatAssigns each point to the nearest centroid, forming a K-clusterRecalculate the center of mass of each clusterUntil clusters do not change or reach the maximum number of iterations The k in the algorithm needs to be artificially specified. There are a number of ways to determine k, such as multiple trials, calculation errors, the be

1. Distributed A large system is divided into several business modules, and the business modules are deployed to different machines, and each business module interacts with the data through the interface. The difference between distributed methods is based on different machines and different businesses. above: Service A, B, C, D are business components, business access through API Geteway, respectively. Note: Distributed needs to do transaction management. Distributed transactions can be

"Logappend:trueStorageDbPath: "/usr/local/mongodb/shard1/data"JournalEnabled:trueDirectoryperdb:trueNetport:10001Processmanagement:Fork:truePidfilepath: "/usr/local/mongodb/shard1/mongod.pid"Sharding:Clusterrole:shardsvrReplicationReplsetname:shard1replset1. Start Shard1 on each node2. Randomly select a node, log in to MONGO, initialize the Shard1 replica setDeploying SHARD2MongoDB configuration file (written in YAML format)Systemlog:Destination:filePath: "/usr/local/mongodb/shard2/log/mongod.lo

file. To solve these two problems, the Telegraf ceph_input plugin will work properly. 2.telegraf through the Ceph_input plug-in collection of ceph information through the Influxdb_ouput data written to the INFLUXDB,INFLUXDB database through the 8086 port to receive data, as if the UDP protocol is also supported.3.grafana get data drawing from Influxdb.Take a picture.650) this.width=650; "Src=" Http://s3.51cto.com/wyfs02/M01/8A/E3/wKioL1g-mc3Rs0CNAAFFzg3QCz0844.png-wh_500x0-wm_3 -wmp_4-s_2114955