Foreword
High Availability Cluster, or HA Cluster for short, refers to server cluster technology for the purpose of reducing service interruption time. It can be seen from the above that the
Foreword
High Availability Cluster, or HA Cluster for short, refers to server cluster technology for the purpose of reducing service interruption time. It can be seen from the above that the
One Heartbeat basic theory
Provide redundant system:
HA Cluster: In order to improve the system callability, combine multiple hosts to build a cluster;
Split brain, partitioned cluste
HA (high available) , Also known as dual-system hot backup, used for critical business. Simply understand itYes, there are two machines A And B. Normally, A provides services, and B is on standby a
Introduction Heartbeat is a well-known HA project. After 3.0, Heartbeat was split into two independent projects, Heartbeat and Pacemaker. Pacemaker uses Corosync as the message layer in subsequent
Experimental environment:
Virtual machine ha1: 192.168.61.130
Virtual machine ha2: 192.168.61.132
< span style="font-size:14px;font-family:'宋体';"> Virtual machine nfsserver: 192.1
Modify the ha.cf configuration file and enable the crm function, which means that the resource configuration is handed over to the crm management
[root@node1 ~]# vim /etc/ha.d/ha.cfcrm on
Heartbeat (Linux-HA) working principle: The core of heartbeat consists of two parts, the heartbeat monitoring part and the resource takeover part. The heartbeat monitoring can be carried out throug
One, test environment
Two, configure the time synchronization of the three servers and modify the crontab to automatically synchronize with the ntp server
crontab -e p> */2 * * * * /u
Foreword
Because the built-in resource manager haresource function of heartbeat v1 is relatively simple and does not support graphical management, Therefore, heartbeat v2 no longer supports h
I have reposted many posts, in fact, to build a mysql cluster using heartbeat. Many online uses make to generate RPM for installation. I also found a lot of information. The cluster users that come