Agentic AI for Database and IT Operations

The triage problem

A mixed estate produces more diagnostic output than any team can read: performance reports per instance per period, logs across every service, alerts whose thresholds were set years ago. Most of it is noise, and the signal is only visible in correlation — a wait event that appears on two instances the same night, an error that started twelve minutes before the symptom anyone noticed.

So the reports go unread until something breaks, and then the reconstruction starts from scratch at the worst possible moment.

• Reports nobody reads: Performance reports are generated faithfully and reviewed only after an incident.
• Correlation is manual: The answer usually spans several services, and joining them is a human stitching exercise.
• Knowledge concentrated: What counts as normal for a given system is held by a few people who are also the on-call rotation.

What the agents do

A performance analyst agent reads the database performance reports and returns a prioritized, manager-readable diagnosis: what is actually constraining the system, in what order to address it, and what evidence supports each item. A log and incident agent correlates across services to build a timeline and narrow the first failing step. An operations agent watches the estate for anomalies and proposes routine administrative work.

Proposals are proposals. Anything that changes a system — a parameter, a reorganization, a cleanup — is prepared, explained and held until an authorized engineer approves it. Diagnosis is autonomous; change is not.

• Report to diagnosis: "Summarize last night's performance report and tell me which three waits to fix first, with the evidence."
• Incident timeline: "Checkout errors spiked at 02:10 — what changed, where did it start, and what moved first?"
• Estate anomalies: "Tablespace growth looks abnormal on two instances — propose a remediation plan."
• Routine work prepared: A proposed maintenance action with its expected effect, executed only after an engineer approves it.

Heterogeneous by design

Real estates are not single-vendor. The platform connects to relational databases such as PostgreSQL and Oracle, to graph stores, and to the streaming and messaging layers that carry operational events, through declared read-only interfaces first.

That matters for correlation specifically: an incident that spans a message queue, an application service and a database is only explicable if the agent can read all three, and it is exactly the case a single-system tool cannot cover.

What the team gets back

The measurable change is that diagnostic output gets read every night instead of after an incident, and that the reconstruction work during an incident starts from a timeline rather than from zero. Senior engineers spend their attention on the judgement call instead of on the retrieval that precedes it.

Every run — the question, the sources read, any proposed action, the approver and the result — is recorded, which also makes the post-incident review something other than an exercise in memory.

FAQ

Will the agent change my database?

Not on its own. Diagnosis and analysis run autonomously over read-only access. Any change — a parameter, a maintenance action, a cleanup — is prepared with its expected effect and held until an authorized engineer approves it in the conversation, and the whole sequence is recorded.

Which databases and systems are supported?

Relational databases including PostgreSQL and Oracle, graph stores, and the messaging and streaming layers that carry operational events, connected through declared interfaces. Cross-system correlation is the point: incidents usually span more than one of them.

How is this different from an observability dashboard?

A dashboard shows you the signals and leaves the correlation and the conclusion to you. The agent reads the reports and logs across systems, states a prioritized diagnosis with the evidence behind it, and — where permitted and approved — prepares the remediation.

Related

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• ERP & Finance — Agentic Reconciliation and Operations for ERP