db2 high availability

Planning for high availability in the EnterpriseLesson 1: Assessing database availability requirements1. Calculating availability(1) A = (F-(MR + r)/FA: AvailabilityF: Mean time between failuresMR: mean time to recognizeR: mean time to repair(2) availability is determined by

Configuring keepalive for MySQL dual master high Availability1. Installing KeepAlive2 . Configure KeepAliveGlobal_defs {Notification_email {[Email protected][Email protected][Email protected]}Router_idmysql_ha}Vrrp_script Check_mysqld {Script "/etc/keepalived/mysqlcheck/keepalived_check_mysql.sh"Interval 2}Vrrp_instance ha_1 {State BACKUPInterface eth0VIRTUAL_ROUTER_ID 51Priority 100Advert_int 1Nopreemptauthentication{Auth_typepassauth_pass1111}Track_

When it comes to high availability, crossing think of a lot of options, perhaps from a personal experience of the system from a single machine into a highly available pain process, perhaps some crossing just built a test on their own virtual machines. Today this article with my own real experience to tell you, no matter how the actual combat and test play is a big difference! Maybe you think it's easy to se

In the previous articles, the high-availability scheme for MySQL databases, master-slave replication, latency generation of master-slave replication, latency Detection and latency solutions (not fundamentally addressed), this master-slave replication scheme guarantees data redundancy while simultaneously reading and writing to share system pressure but is not a highly available solution. Because the master

for $Mysqlbinif [!-F $Mysqlbin];thenEcho ' Mysqlbin not found,check the variable mysqlbin 'Exit 99Fi#Get Mysql Slave StatusIothread=$Mysqlbin -h $host -P $port -u$user -p$pw -e ‘show slave status\G‘ 2gt;/dev/null|grep ‘Slave_IO_Running:‘|awk ‘{print $NF}‘Sqlthread=$Mysqlbin -h $host -P $port -u$user -p$pw -e ‘show slave status\G‘ 2gt;/dev/null|grep ‘Slave_SQL_Running:‘|awk ‘{print $NF}‘sbm=$Mysqlbin -h $host -P $port -u$user -p$pw -e ‘show slave status\G‘ 2gt;/dev/null|grep ‘Seconds_Behind_Mast

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High Availability of rabbitmq Clusters Rabbitmq is developed using Erlang and clusters are very convenient. Because Erlang is a distributed language, it does not support Server Load balancer itself. The rabbit mode can be divided into the following three modes: single mode, normal mode, and image mode. Single Mode: the simplest mode, not the cluster mode. There is nothing to say. Normal Mode: the default cl

Detailed analysis of high-availability Redis service architecture construction Memory-based Redis should be the most commonly used key-value database in various web development businesses. We often use it to store user login states (Session storage) in the business ), it accelerates the query of some hot data (which is faster than mysql) and implements simple message queues (LPUSH and BRPOP) and subscriptio

The concept of cluster and high availability (HA), clusterha Reposted from: http://www.cnblogs.com/blackwizard2016/p/5143816.html, which is used only for learning. 1.1 What isCluster To put it simply,Cluster (ClusterIs a group of computers,They provide users with a set of network resources as a whole. TheseA single computer system is a cluster node ). An ideal cluster is that the user will never realize the

I. Common usage Several common usage methods of redis include: Redis single copy; Redis multi-copy (Master/Slave ); Redis sentinel (Sentinel ); Redis cluster; Self-developed redis. Ii. Advantages and disadvantages of various usage methods 1. redis single copy Apsaradb for redis uses a single redis node deployment architecture. It does not have slave nodes to synchronize data in real time and does not provide data persistence and backup policies. This architecture is suitable for pure cach

The database has now become the cornerstone of the enterprise, so it is necessary to ensure the high availability of the database. At the same time, it is also necessary to prevent unexpected incidents from causing problems in the entire data center (such as addresses and floods ). Therefore, data center high availability