Could a new wave of agentic AI services in data management help elevate the role, status and perception of the databae administrator?
Developers love meritocracy. Software engineering professionals don’t judge individuals by the way they look, the way they dress and whether or not they have a purple-green hair dye rinse on their head ... and they never have. They tend to classify their counterparts and contemporaries on the basis of their skillset, their ability to show technical competency and their enthusiasm for the combined arts of coding and data science.
Stewart Bond sees a role for this exact job function. In his role as VP of data intelligence and integration software at technology analyst house IDC, he projects that AI can now take on a central role in data orchestration and administration.“The rise of agentic AI orchestration is expected to accelerate, and companies need to start preparing now,” said Bond.
Clowes agrees with the proposition that Confluent didn’t necessarily build this technology to enable, create or innovate the true arrival of the agentic DBA, but he concurs, if the continued extension of the company’s platform makes this ‘job position’ a reality, then it will surely serve IT stacks in every industry for the better.
Ranganathan says that agentic DBAs are capable of anything from performing query execution patterns to analyzing resource trends to mentoring cloud cluster health, which means all these tasks can now be dealt with automatically. This allows DBAs to avoid “alert fatigue” and learn from previously taken actions when their workload permits.
“We’ve spent years talking to Db2 database administrators, understanding their pain points, frustrations and the complexity of their workflows. The feedback we have captured is loud and clear: DBAs are tired of fragmented tools that don’t integrate with each other.
Automation Confluent IBM Yugabye
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