References & Success Stories
The Operation-OS approach is distilled from years of solving real-world challenges across disaster management systems, map-based infrastructures, multi-platform government architectures, and high-volume enterprise operations. The examples below highlight tangible, field-proven outcomes in multi-system integration, performance optimization, and operational stability.
Challenges Identified
- Unstable distributed services under heavy load
- Fragile CI/CD pipelines
- Performance issues in high-volume spatial data
Uygulanan Çözüm
- Redesigned microservice architecture
- 90% reduction of Node.js + React codebase
- Fully automated CI/CD for 4 environments
- Vector-tile + spatial indexing
- Advanced health-check + distributed logging
- Foundational core model aligned with Operation-OS
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- 60%+ stability increase
- 90% smaller frontend bundles
- 2–5× faster map performance
- Troubleshooting reduced to minutes
60%+Stability
-90%Bundle Size
2–5×Map Performance
Challenges Identified
- Legacy monolithic architecture
- 32-bit platform limitations
- Scaling spatial computations
Uygulanan Çözüm
- NetGIS Server redesigned from scratch
- 50–200× faster spatial engine
- 48+ modules modernized from Delphi → .NET
- GPU + x64 integration
- Performance model that inspired Operation-OS data core
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- 50–200× benchmark improvement
- 48+ modules modernized
- Sustainable, high-speed architecture
50–200×Performance
48+Modernized Modules
x64 / GPUArchitecture
Challenges Identified
- Inconsistent 3D data
- Manual certification workflow
Uygulanan Çözüm
- GISExpress desktop CAD/GIS application
- 3D building view + automated certificate generation
- Energy efficiency model with Hacettepe University
- Standard data backbone aligned with Operation-OS
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- 4000+ active users
- Standardized 3D efficiency cards
- Faster institutional decision-making
4000+Users
3D EfficiencyModel
Challenges Identified
- Checkout operations taking 20–30 minutes
- Slow data transfer for map layers
Uygulanan Çözüm
- ArcGIS ↔ NetGIS integrations
- 20–30 min checkout reduced to milliseconds
- Province-level batch processing enabled
- Pipeline model that shaped Operation-OS Flow Engine
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- Minutes → ms transformation
- Single-step province-level checkout
- More reliable data flow
20–30 min → msCheckout Time
Province-LevelScope
Challenges Identified
- COBOL-dependent output system
- Inability to generate modern formats
Uygulanan Çözüm
- HTML → DotMatrix conversion engine (C++)
- ActiveX bridge layer
- Elimination of COBOL dependency
- Early example of Operation-OS legacy bridge architecture
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- 100,000+ modern outputs produced
- Legacy dependency removed
- Full transition to modern templates
100,000+Outputs
HTML → DotMatrixBridge
