The slow query is never just a slow query. GIIP finds the root cause.
Query analysis, indexing, and database operations run by GIIP’s AI multi-agent FDE Ops — using metrics, logs and execution plans to fix root causes, not symptoms, with senior engineers on the hard calls.
Root-cause analysis · execution plans · 24/7 · humans on high-risk changes.
A slow database drags down the whole product — and the fix is rarely where it hurts.
Query latency, missing indexes, lock contention and bad plans compound quietly until users feel it. Diagnosing the real cause takes deep expertise most teams can’t keep on staff.
Symptoms hide the cause
A slow endpoint might be a missing index, a bad plan, lock contention or N+1 queries — treating the symptom wastes weeks.
Tuning expertise is rare
Engineers who can read execution plans and tune under load are scarce, and the skill decays without constant practice.
Performance degrades silently
Data grows, plans drift, and yesterday’s fast query becomes today’s outage — usually with no warning.
Cost follows performance
Teams paper over slow databases by scaling up hardware, paying more every month for a problem tuning would solve.
AI agents analyze metrics, logs and execution plans to fix the root cause.
GIIP operates the database layer of FDE Ops: query analysis, indexing and tuning driven by real evidence, governed by senior engineers, with high-risk changes gated.
Root-cause query analysis
AI reads execution plans, slow-query logs and performance metrics to find why it’s slow — not just that it’s slow.
Indexing & schema tuning
Targeted indexes and query rewrites based on real access patterns, validated before they ship.
Continuous performance watch
Plans and data volume are monitored over time, so drift is caught before it becomes an outage.
Governed, high-risk changes gated
Schema and index changes are reviewed, versioned and reversible — senior engineers own the risky calls.
What AI database tuning gives you
Root cause
Evidence-based, not symptom patching
Plans
Execution plans read, not guessed
24/7
Continuous performance monitoring
Gated
High-risk changes reviewed and reversible
Frequently asked questions
How do you find the real cause of a slow query?
GIIP analyzes execution plans, slow-query logs and database performance metrics directly, correlating them with access patterns — so fixes target the root cause instead of the symptom.
Which databases are supported?
GIIP operates across major relational databases and their managed cloud services, integrating with tools like performance insights, query stores and audit logs.
Are schema and index changes safe?
Yes. High-risk changes are validated, versioned and reversible, and senior engineers review them before they’re applied to production.
Production that operates itself — monitoring, scaling and incidents, run by AI.
Get in touch For teams watching the cloud bill climbRight-sizing trims the surface. We cut the work that built the bill.
Get in touch For teams drowning in on-callStop firefighting production. Let an AI operations team hold the pager.
Get in touchStop paying for slow queries.
Tell us where the database hurts. We’ll show you how AI-driven tuning finds the root cause and fixes it — under governance.