Jaringan Implementasi Disaster Recovery Plan Menggunakan Cloud Computing Pada Web Server


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The need for information that is always up-to-date and can be accessed anywhere and anytime is increasing. This causes the need for data storage services that can guarantee data availability. With the availability of data, can help reduce the occurrence of server failure. One way to improve the quality of these services is to implement disaster recovery plan using Google Cloud Platform. The implementation carried out applies several techniques such as data replication, failover and failback. Data replication uses MySQL Replication Master-Master and GlusterFS, failover and failback using Nginx. From the results of this study it was found that on average the data successfully replicated using MySQL Replication Master-Master and GlusterFS was 100% and the use of google cloud as a secondary server along with nginx can guarantee availability of data on primary servers and secondary servers. The results of failover and failback methods get 100% success and in the failover process requires an average time of 7,35 seconds for the secondary server to take over primary server services and when a failback occurs, it requires an average time of 7,11 seconds for the primary server to retrieve service transfer on secondary servers. The existence of anomaly data in the failover and failback process causes the process transfer time to be unstable.