How to monitor SQL Server failover events automatically

Failover event overview

In general, the term “failover” refers to switching from a previously active machine, other hardware component, or network to a passive (or unused) one, to sustain high availability and reliability. In most cases, a failover event is an automatic process, while a the similar event, switchover, requires manual intervention in switching between the active/passive elements.

January 13, 2017

How to automatically monitor a SQL Server database for schema changes and create an audit log in source control

The challenge

As a DBA considering version controlling a database, there are a lot of challenges to setting up the team with software to check in changes, to manage the development environment (shared or dedicated models) and set the rules of the game – locking vs not locking etc. But before committing to this fully, a potentially preliminary stage would be to set up a centralized system, where the database was automatically committed to source control each night. This could be done by a single person and wouldn’t require developer participation or even knowledge.

January 10, 2017

How to build a “smart” SQL Server Data dictionary

In the article, “What is a data dictionary and why would I want to build one?” a data dictionary was described and compared to other alternatives to documenting, auditing and versioning a database. The article also described the difference between a Dumb and a Smart data dictionary.

Now that we’ve whetted your appetite, this article will explain how to create a smart data dictionary using XML schema change exports from ApexSQL Diff.

January 10, 2017

How to automatically keep two SQL Server database schemas in sync


When working on a SQL database development, there is sometimes a requirement to keep two databases in sync. For example, you have a development environment and want to automatically synchronize changes with a QA database frequently, so that tests can always be run on the most recent version. The implemented mechanism should handle this by detecting a specific schema change in the DEV database and automatically synchronizing with the QA database, fully unattended and on a schedule. The whole process should be run unattended and to be fully automated and the databases will be updated in near real time as we’ll schedule the process to run every 15 minutes

January 9, 2017