Database recovery gets faster with a tested backup – Know more


A tested backup ensures a safety mechanism for your database in case there’s a need to restore it following failed deployments and unforeseen errors. There are production systems that maintain backups and keep them updated on a regular basis. Upgrading your deployment process is simple by adding a backup system. Scripting backup is really quite simple for a majority of systems. The deployment process has it in an automated form so that you don’t need to follow it manually. In case something goes wrong and data recovery is required immediately, then in order to make things viable you’ll need to ensure more backup checks within your SQL server. Apart from the backup checksum there are other things that these checks ought to involve. The VERIFYONLY restoration needs to be run after the completion of the backup. In the event of a deployment failure, this entire process needs to be completed in order to ensure a successful restoration of your database to a previous point that was smoother.


Is this approach really so smooth?

This approach is identified with certain drawbacks. Much of your time will b consumed by the restoration process. A Rollback may seem difficult under this approach. You’ll come across a few unattractive choices if you wish to retrieve data through a better point in time before the deployment had gone sour. On one hand, all connections may be removed to prevent any further data updating. For this your database may be set to a limited user mode or your application may be disabled. On the other hand, running log backups alongside the entire backup is also a possibility to obtain the point in time restoration. By opting for the latter option, both the backup and the restoration processes may consume equal time. The duration often since much longer and the database can’t be accessed by you throughout this time. With an increase in the database size, there’s a considerable increase in your database restoration delay. Along with this, you must count upon the restoration complexity.

You’ll need to identify the database crash through an early phase if you want the deployment to be undone by developing any strategy base on restoration. Restoration may be successful in case your system detects immediate errors contributing towards a deployment failure. Alternatively, when fresh transactions are committed prior to detection of errors then a database restoration may result in considerable loss of data. This is something that’s not considered to be acceptable universally. You may visit for acquiring expert advice in this regard.