Managed DBA Operations
Monthly support for incidents, inspections, backup, capacity, access control, and release operations across Oracle, PostgreSQL, and MySQL.
DBA Operations · AI Consulting · B2B Advisory
Contract-based expert services from DBA operations to AI workflow automation.
Insight Factory diagnoses enterprise data reliability, performance, and automation gaps, then turns them into practical operating improvements.
Service Readiness
Enterprise
DBA Stabilization
99.9%
SQL Performance Work
4 steps
AI Adoption Review
2 weeks
Service Catalog
Professional Services Available by Contract
Performance Diagnosis & SQL Tuning
We analyze AWR, execution plans, indexes, wait events, and query patterns to identify bottlenecks and propose improvements.
Migration Consulting
Planning and risk validation for version upgrades, cloud migration, PostgreSQL transition, and high-availability cutovers.
AI Workflow Automation Consulting
We identify repeatable workflows, document handling, internal knowledge search, and assistant use cases suitable for AI PoC work.
RAG / LLM System Design
Architecture for enterprise RAG, permission separation, evaluation logs, monitoring, and operational governance.
Technical Advisory Contract
Architecture reviews, incident prevention, and adoption decision support for CTOs, data teams, and operations teams.
Work Sample
Work Samples
1. LLM-Based Relationship Inference ERD
When production databases lack complete physical foreign keys, we review table names, column names, key patterns, and relationship candidates to build an ERD draft. The sample below shows only the inferred relationship flow with column details hidden.
Schema-first draft
Tables and key patterns are placed first so the overall structure is visible quickly.
Inferred FK flow
Physical FKs and inferred FK candidates are separated for reviewable evidence.
Partial preview
Only part of the deliverable is exposed to show the shape of the final work product.
2. AI Automation Efficiency Comparison
This is a conservative estimate focused only on human decision nodes replaced or accelerated by AI, not total business process time. It separates the net AI contribution from broader automation effects.
~20h / mo
Pure human decision time saved
-60%
Decision-node processing time
6 areas
SQL · RCA · Support · Tickets · Reports · Logs
Before is the remaining human decision time after basic automation. After is LLM processing plus human validation time. Frequencies are assumptions and can be replaced with real operating metrics.
| Work Area · Human Decision Node | Frequency | Before | After | Gain |
|---|---|---|---|---|
| Slow Query / Top SQL Candidate Analysis Execution-plan interpretation, rewrite options, and index alternatives | 8 / mo | 70 min | 30 min | -57% |
| Incident or Performance Event RCA Candidates Linking logs, alerts, and change history into likely causes | 4 / mo | 50 min | 22 min | -56% |
| Internal Support Based on Manuals Intent recognition and synthesis across multiple documents | 30 / mo | 13 min | 5 min | -62% |
| Unstructured Operations Ticket Classification Type, severity, and duplicate assessment from free-form requests | 40 / mo | 11 min | 4 min | -64% |
| Monthly Operations Report Drafting Interpreting metric meaning and drafting narrative actions | 1 / mo | 165 min | 60 min | -64% |
| Log Anomaly Pattern Interpretation Assessing pattern meaning and whether action is required | 12 / mo | 25 min | 10 min | -60% |
Relative comparison where each Before value is normalized to 100%. Both Before and After include human decision time only.
Beyond Time Savings — Quality and Coverage
- SQL and RCA Junior staff can produce senior-level first-pass judgment, reducing dependency on a single expert.
- Internal Support More consistent answers with current manuals reflected automatically.
- Ticket Classification More stable classification rules and fewer missed related incidents.
- Log Interpretation Hypotheses are proposed even for patterns people may overlook, expanding analysis coverage.
Engagement Model
Simple Contract Process
1. Request Intake
We collect the service need, system environment, current issue, and preferred schedule.
2. Scope Definition
We define diagnostic scope, deliverables, duration, security conditions, and working model.
3. Contract and Start
After NDA and contract, access is separated and the engagement begins.
Request