Here's how you can streamline automation tools in your database administrator workflow.

Indeed as mentioned before, regular db-tasks include physical and logical backups, running statistics, resetting high water marks, reclaiming free space, creating aggregation tables, adding or removing partitions, capturing table sizes and validating data. With DBMSs, the command line interface is usually a convenient way to automate such processes. In most companies there are chosen schedulers or pipelines tools to be used.

To streamline automation tools in a database administrator's workflow, start by identifying repetitive tasks like backup scheduling, indexing, monitoring, or performance optimization that can benefit from automation. Integrate tools like Ansible or Terraform for infrastructure-as-code, automating database provisioning and configuration. Implement monitoring tools like Prometheus and Grafana to automate alerts for performance and capacity. Use CI/CD pipelines with tools like Jenkins to manage database deployments, reducing manual intervention. These steps enhance efficiency, minimize errors, and allow DBAs to focus on more strategic tasks like scaling and tuning, ultimately boosting productivity.

To borrow a concept from the Get Things Done (GTD) philosophy, identify the 2-minute tasks that you repeatedly do. Then review your tickets and glean patterns from your user requests. Basically, you want to review your Daily, Weekly, Monthly, or even your Yearly tasks. Separate the purely db admin stuff from BAU ones. Embrace the DBRE mindset.

Automation in DB is important but prior to that the DB Design & implementation is more important. DB should be light where one can retrieve the required information with ease & the resources allocation is also less. Once the above criteria fulfill our next step should be the automation part.so tool for DB automation is very important. In my view, DB design & implementation is more implementation prior to implementation of DB AUTOMATION.

Importante validar: - Optimización de query. - índices entre tablas que se utilizarán. - La máxima expresión en filtros que se pueda aplicar. - Si es posible, que todo se encuentre en el mismo servidor para evitar linked server.

This is one of the most important steps in any database automation process, as the challenges progress and become more severe all the time, maintaining an updated environment, with encrypted and secured database is crucial for a secured environment especially when the database contains high-value data like fin-tech data that is needed to be well maintained and patched all the time to prevent any vulnerabilities, full optimization also means to take the latency into account, nobody likes their data to be retrieved in too much time, so a well-architected infrastructure with a well optimized resource usage, all of this requires a good sizing of the environment beginning any implementation.