DAIV / PRODUCT ARCHITECTURE

Database AIIntelligent Database Operations Platform

Build a unified operational view of production database clusters through continuous metrics and anomaly collection. AI combines enterprise knowledge with adaptive inspections, real-time alerts, fault analysis and optimization advice, connecting observation, assessment, review and follow-up.

Interactive 3D architecture

01 / Product Architecture

From database operations
to clear anomaly insights.

Production Database Clusters, Database Operations Platform, Live Alerts & Analysis. Select a zone or device to inspect its structure and responsibilities.

  • 01Database Estate Awareness
  • 02AI Adaptive Inspection
  • 03Real-time Anomaly Alerts
  • 04Fault & Optimization Analysis
Read the full architecture notes

02 / Operating Workflow

Observe, inspect and analyze.
Close the operational feedback loop.

Explore the Database AI workflow step by step. Paths follow the selected step; critical actions retain human confirmation.

Observe Production Database Clusters

Database groups continuously report metrics and anomalies through collection interfaces, building a unified operational view and triggering real-time alerts.

Product simulation only. No production connection or real business operations.

03 / AI-assisted Management

Evidence for decisions.
Boundaries for execution.

Identify issues, explain evidence and suggest actions throughout the intelligent database operations platform workflow.

01 / Assisted Capability

Adapt inspections to operational changes and support real-time anomaly alerts

02 / Assisted Capability

Correlate metrics, events and knowledge for fault analysis

03 / Assisted Capability

Produce reviewable optimization advice and follow-up evidence

AI explanations and advice do not imply automatic execution.
Deterministic rules, permissions and human approval govern high-risk actions.

Review the full architecture notes ↗

ARCHITECTURE NOTES

Intelligent Database Operations Platform,
Clear responsibilities at every layer.

Database clusters and business zones are illustrative, not actual customer assets. The platform collects metrics, events and authorized inspection results. AI provides analysis and advice without automatically executing high-risk database changes. AI assistance does not replace human authorization.

01Production Database Clusters

Core Business Databases

Production database clusters continuously supply metrics, events and read-only inspection results. Business database access does not pass through this AI operations platform.

Transaction Databases

Production database clusters continuously supply metrics, events and read-only inspection results. Business database access does not pass through this AI operations platform.

Analytics Databases

Production database clusters continuously supply metrics, events and read-only inspection results. Business database access does not pass through this AI operations platform.

Other Business Databases

Production database clusters continuously supply metrics, events and read-only inspection results. Business database access does not pass through this AI operations platform.

Collection & Inspection Access

Collect metrics, anomalies and inspection results through authorized management networks. Read-only inspection commands return to production clusters; this connection does not proxy business data.

02Database Operations Platform

Database AI

Unify continuous observation, AI-assisted inspection, real-time anomaly alerts, fault and optimization analysis, and human review.

AI-assisted Diagnosis

Combine metrics, events, inspections and enterprise knowledge to explain issues, assist fault isolation and optimization, and refine inspection priorities.

Enterprise Operations Knowledge

Connect database configurations, operations experience and reviewed cases to provide verifiable knowledge for AI analysis.

Adaptive Read-only Inspection

Adjust read-only inspection priorities using operational changes and AI advice. Check database state, configuration and potential anomalies without autonomously executing high-risk changes.

Live Metrics & Events

Continuously collect metrics, events, anomalies and inspection results across database groups for live monitoring.

Database Operational Awareness

Correlate operational status, anomalies and risks across production database clusters into one operational view.

03Live Alerts & Analysis

Real-time Anomaly Alerts

Generate immediate alerts for abnormal metrics and events with supporting evidence; alerts do not wait for manual analysis.

Assisted Fault Analysis

Show correlated anomalies, possible causes and diagnostic evidence to assist fault isolation, without presenting hypotheses as confirmed causes.

Optimization Analysis & Advice

Provide reviewable database optimization analysis and advice. Adoption and high-risk implementation depend on permissions and human approval.

01 / Observe Production Database Clusters

Database groups continuously report metrics and anomalies through collection interfaces, building a unified operational view and triggering real-time alerts.

02 / AI-assisted Adaptive Inspection

AI correlates operational changes and enterprise knowledge to refine read-only inspection priorities. Results return to monitoring while anomaly alerts continue.

03 / Assist Fault & Optimization Analysis

Use metrics, events, inspection results and enterprise knowledge for fault isolation and optimization advice; real-time alerting continues independently.

04 / Human Review & Follow-up

People review evidence and advice, record confirmed follow-up results and improve knowledge and inspection policies. This simulation performs no database optimization or production changes.

Human authorization required