Find hidden DB operational issues and improve performance and cost simultaneously
Analyze recurring performance degradation, log growth, and excessive resource usage in SQL Server / RDS environments, and provide actionable improvement plans.
If you are repeatedly experiencing these issues, you may already be losing money
Transaction logs keep growing but you can't pinpoint the exact cause
RDS costs are increasing but you don't see where they're being wasted
Manually searching for slow queries and index issues every time
Plenty of monitoring tools, but none tell you exactly what to do
Relying on specific DBAs or personnel every time an incident occurs
And more hidden bottlenecks...
GIIP is much more than DB analysis
Full Infrastructure Visualization
Cloud + on-prem in 3D topology
AI Multi-Agent
Dev Agent automates code, review & testing
Remote Agent Integration
Claude / Gemini / Antigravity support
Real-time Security Guard
Windows/Linux threat detection & blocking
giip 'interprets' operational data and turns it into immediately actionable improvements
We don’t just show metrics; we present what the problem is and what you need to do about it
We create these improvements in actual operations
Identify Performance Bottlenecks
Quickly identify slow queries, inefficient indexes, and resource waste
Operational Cost Reduction
Identify excessive storage usage, unnecessary instances, and recurring cost elements
Incident Prevention
Early detection of recurring incident patterns like log growth, CDC/Replication lag, and blocking
Standardization of Operations
Transform analysis that relied on individual expertise into a reproducible process
Real improvement effects in production (Anonymous Cases)
Transaction logs and storage were continuously increasing without a clear cause, accumulating costs and operational burden.
Analyzed CDC/Replication/Log reuse wait states together to confirm that specific operational patterns and cleanup delays were the root cause, not just capacity issues.
Certain queries and index structures were causing unnecessary increases in CPU and I/O.
Analyzed both bottleneck queries and critical index change points to clarify which changes were risky and which were safe.
Despite rapid growth, a shortage of infrastructure operations personnel led to performance optimization and cost management being deprioritized.
Introduced GIIP AI agents to establish a 24/7 infrastructure analysis and autonomous code review routine.
Threat detection and anomaly auditing across the infrastructure were fragmented, leading to slow response times.
Integrated a centralized monitoring system using GIIP Local Guard and real-time security agents.
Why giip?
| Traditional Methods | Limitations | giip |
|---|---|---|
| Monitoring Tools | Plenty of metrics, but vague actions | Provides root cause and execution plans |
| Manual DBA Analysis | High human dependency and slow | Provides a reproducible analysis process |
| Cost Reports | Shows costs but not the root cause | Connects root cause with cost impact |
| Automation Tools | Issues with trust and control | Review & execute under customer control |
Trustworthy deployment designed for production environments
"The principle is simple: we provide the lens to see clearly, you maintain the key to act."
giip is perfect for these teams
Getting started with GIIP is easier than you think
Request Free Diagnosis
Let us know about your current environment (SQL Server, RDS, etc.) and primary concerns.
Agent Connection
Install a lightweight agent with read-only permissions (takes less than 30 mins).
Analysis & Report
We collect and analyze one week of data to present core issues and improvement plans.
Self-Ops or Managed
Based on the analysis, you can either implement improvements yourself or outsource operations to experts.
Find out what issues might exist in your environment
We will review potential improvement points based on your current production environment.