Alternatively an organization might choose to automate a significant amount of the work that could be done manually therefore reducing the skills required to perform tasks.
Database administration often requires DBAs to put in work during off-hours (for example, for planned after hours downtime, in the event of a database-related outage or if performance has been severely degraded).
In addition, 3rd parties such as BMC, Quest Software, Embarcadero Technologies, patchVantage and SQL Maestro Group offer GUI tools to monitor the DBMS and help DBAs carry out certain functions inside the database more easily.
Software has been created specifically to improve the reliability and repeatability of these procedures such as Stratavia's Data Palette and GridApp Systems Clarity.
Third party support for database container images has grown, including MongoDB, PostgreSQL, MySQL from Oracle, and Microsoft SQL Server from Microsoft, and from independent port's of docker (software) from Windocks [2] Kubernetes, and the development of the Kubernetes Operator pattern by CoreOS, further extended the ability to orchestrate database container.
The intention of DBA automation is to enable DBAs to focus on more proactive activities around database architecture, deployment, performance and service level management.
There are several education institutes that offer professional courses, including late-night programs, to allow candidates to learn database administration.
DBMS vendors such as Oracle, Microsoft and IBM offer certification programs to help companies to hire qualified DBA practitioners.