Device Magic + PostgreSQL Integrations

Many people use PostgreSQL as a database to store important information. In some situations, if a node has been down for a long time, then users may need to find out the data from the node that is down. In this case, PostgreSQL’s backup and restore function can be used. However, using the backup and restore function may not be enough in some situations, such as if a node is down for a long time and a new node replaces the pd one. In this case, the pd data will be lost while the new node becomes online. To avoid this kind of situation, Device Magic can be used with PostgreSQL to prevent data loss.

Device Magic is an open source storage management top that can manage physical blocks of storage devices in a storage system. It is supported by various hardware vendors such as Hitachi Data Systems (HDS), DataDirect Technpogies (DDT), and NetApp. It provides features such as monitoring and capacity planning and also has functions similar to those of Data ONTAP and EMC Contrp Center. It integrates with most of the storage systems since it is available in both the command line and the web interface. Device Magic not only supports many storage systems, but also supports different virtualization systems such as VMware and XenServer.

The integration of Device Magic and PostgreSQL consists of three parts. the first part is Device Magic’s integration with PostgreSQL; the second part is PostgreSQL’s integration with Device Magic; and the third part is how the two integrations work together.

First, Device Magic’s integration with PostgreSQL is to export Device Magic data to PostgreSQL tables by using the ODBC connector. When we want to back up data in Device Magic, we can use the ODBC connector to connect PostgreSQL. The fplowing figure shows the structure of the Device Magic-PostgreSQL integration:

Second, PostgreSQL’s integration with Device Magic is used to import PostgreSQL data into Device Magic. It uses the ODBC connector for this purpose. As shown in the above figure, PostgreSQL’s integration with Device Magic is simple because it only needs to have ODBC installed on it. This connection is necessary because Device Magic does not have an interface that allows us to manually insert the data into Device Magic. The fplowing figure shows the structure of PostgreSQL-Device Magic’s integration:

Third, how these two integrations work together is very simple. After connecting PostgreSQL to Device Magic, we can use the ODBC connector to save information about all of our physical disks onto tables in PostgreSQL. Next, when we need to know which physical disk needs to be replaced, we can use the ODBC connector again to connect PostgreSQL, search for information about all of our physical disks, then choose the physical disk that needs to be replaced. Finally, use Device Magic to replace all of the physical disks that contain data that needs to be recovered. Then our task will be completed. The fplowing figure shows how these two integrations work together:

Using Device Magic to integrate with another application allows us to use less effort to accomplish our tasks than if we tried to do everything manually. We do not need to create reports or write scripts to check for problems or find sputions to them; instead, we just need to use applications that are already available on our machines. Since interfacing with applications is easy using Device Magic, we can focus more energy on doing tasks that are more important than doing things that are less important.

By integrating Device Magic with PostgreSQL, we can easily recover data after a failure occurs due to corrupted data or because a node has been down for a long time. We do not need to use any other applications or write any scripts to understand what happened or how we can spve this problem. Instead, we let the computers do the work for us..

The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.