Apica Acquires Orson to Transform Enterprise Test Data Management. Learn More
Apica Test Data Orchestrator
Intelligent Data Management for Modern DevOps
Quality testing demands comprehensive monitoring and smart test data management. Apica combines synthetic monitoring with advanced data orchestration, enabling organizations to create realistic, edge-case-rich monitoring scenarios quickly.
With Apica’s Test Data Orchestrator (TDO), you gain:
- Seamless CI/CD Integration
- Automated Coverage Insights
- Advanced Synthetic Monitoring
- Intelligent Data Generation
BENEFITS
We Can Help. See How.
More Robust Synthetic Monitoring
Enhance synthetic monitoring scenarios with automated, production-like test data to identify and address issues early in the testing phase.
Comprehensive Test
Coverage
Ensure precise and comprehensive test coverage with diverse, tailored data designed for thorough quality assurance across all scenarios.
Improved Compliance & Data Privacy
Leverage GDPR-compliant synthetic data to minimize security risks, safeguard sensitive information, and enhance data privacy standards.
Reduced SDLC
Bottlenecks
Streamline delivery pipelines by capturing SME knowledge in reusable criteria and enabling automated test data generation for efficient workflows.
FEATURES
Every control. At your fingertips.
Seamless Integration with Modern CI/CD
- Version-control test data specifications alongside application code in Git repositories
- Automatically generate fresh test data sets as part of your CI/CD pipelines through REST APIs and native integrations
- GitOps-friendly approach gives you test data configurations that can be reviewed, approved, and deployed using the same processes teams already use for infrastructure and application changes
Automated Coverage Calculation
- Turn business rules into reusable “coverage intelligence”
- Accurately determine testing requirements
- Automate test generation
- Eliminate compromises in risk-based testing and SME bottlenecks
Enhanced Synthetic Monitoring
- Generate diverse, production-like test data to create more comprehensive synthetic monitoring scenarios
- Improve the reliability of synthetic tests by covering a wider range of data conditions and edge cases
- Accelerate the creation of realistic test data for load testing and performance monitoring
Intelligent Data Generation
- Profile source data to identify patterns
- Create on-demand synthetic test data based on these patterns
- Support new builds
- Enhance virtual services
- Maintain data relationships
- Ensure GDPR compliance through synthetic data
