From Operations to Intelligence
– UOps Transforms Your Systems.
With our UOps model—integrating DevOps, DevSecOps, and AIOps—we elevate operations from simple management to intelligent, automated frameworks.
Built-in security, cost-saving automation, and AI-powered performance optimization ensure clients gain stability, efficiency, and a stronger global edge.
Key Point
Secure by Design
Automated Operations
AI-driven Insights
UOps: Smarter, Safer, and Stronger Operations.
We help clients move beyond basic management to smarter, more resilient, and innovative operations.
Compliance-by-Design
We build security and compliance into operations from day one—enabling proactive operations instead of reactive fixes.
End-to-End Automation
We automate the entire process—from deployment to monitoring and reporting—to maximize efficiency and optimize resources.
AI-driven Optimization
We leverage AI- and AIOps-based data analysis to predict failures and optimize performance, enhancing both operational quality and stability.
Resilient Security & Monitoring
We ensure stability and resilience with real-time threat detection, automated response, and continuous monitoring.
Engineering Intelligent Operations with UOps.
Compliance-as-Code
Goal
Achieve automated regulatory compliance by embedding regulatory and
security requirements at the code level
Technology Competitiveness Strategy
- Automated compliance verification through Infrastructure-as-Code (IaC)
- Built-in global standards (FedRAMP, GDPR, ISO) checklists
- Update system capable of immediate reflection of regulatory changes
Zero-Trust Security Architecture
Goal
Minimize breach risks by applying “Zero Trust” principles across all operations
Technology Competitiveness Strategy
- Granular access control at user, device, and workload levels
- Continuous authentication and authorization framework with microsegmentation
- Embedded global security frameworks (NIST 800-207, SASE)
AIOps-driven Monitoring
Goal
Real-time failure prediction, automated response, and operational efficiency through
AI-powered monitoring
Technology Competitiveness Strategy
- Machine learning-based anomaly detection and root cause analysis
- Automated problem resolution workflow
- Real-time tracking of operational KPI and SLA compliance
Multi-Cloud Resilience
Goal
Ensuring stability and scalability of multi-cloud and hybrid cloud operations
Technology Competitiveness Strategy
- Cloud-neutral architecture design to minimize vendor lock-in
- Cross-cloud workload migration and autoscaling
- Automated recovery and resource failover during failures
Automated CI/CD & DevSecOps
Goal
Embedded security and automation across the entire “development-deployment-operations” pipeline
Technology Competitiveness Strategy
- CI/CD pipeline automation — design and implementation
- Code-level security assurance through integrated DevSecOps practices
- Continuous testing and release automation to ensure faster, higher-quality deployments
Predictive Analytics & Optimization
Goal
Proactive prediction and optimization of failure and performance risks through
AI/ML-based data analysis
Technology Competitiveness Strategy
- Performance prediction through operational log and usage pattern analysis
- Simulation-based risk management models
- Automated resource optimization for cost savings and performance improvement
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our service
UOps System Operations
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