Intelligent Release Control
Ensure every release meets your quality standards with automated quality gates, intelligent decision making, and comprehensive validation workflows.
Live Release Dashboard
Monitor quality gates in real-time
Current Release: v2.4.1
Recent Releases
Quality Gate Framework
Comprehensive quality validation at every stage
Code Quality Gate
✓ PassedAutomated code analysis and quality metrics validation
- Code coverage > 80%
- Technical debt ratio < 5%
- Cyclomatic complexity limits
- Security vulnerability scan
Performance Gate
✓ PassedPerformance benchmarks and load testing validation
- Response time < 200ms
- Throughput > 1000 RPS
- Memory usage < 512MB
- CPU utilization < 70%
Security Gate
⚠ WarningSecurity compliance and vulnerability assessment
- Zero critical vulnerabilities
- Authentication mechanisms
- Data encryption validation
- OWASP compliance check
Test Coverage Gate
✓ PassedComprehensive testing coverage validation
- Unit test coverage > 85%
- Integration test coverage > 70%
- E2E test coverage > 60%
- All critical paths tested
Multi-Stage Validation
Quality gates at every stage of the release pipeline
Development
Early quality checks during development
Integration
Component integration validation
Staging
Pre-production environment validation
Production
Production readiness verification
Configurable Gate Policies
Flexible policies to match your quality requirements
Mandatory Gates
Required gates that must pass for deployment
- Security vulnerability scan
- Code coverage threshold
- Performance benchmarks
- Critical bug resolution
Advisory Gates
Optional gates that provide warnings and recommendations
- Code complexity analysis
- Documentation coverage
- Accessibility compliance
- Dependency updates
Custom Gates
Business-specific quality requirements
- Business rule validation
- Compliance requirements
- Custom metrics thresholds
- Domain-specific tests
Automated Gate Workflow
Intelligent automation from configuration to decision
Gate Configuration
Define quality gates and criteria based on project requirements and industry standards
Automated Execution
Trigger quality gates automatically during CI/CD pipeline execution
Results Evaluation
AI-powered analysis of gate results with intelligent decision making
Release Decision
Automated release approval or blocking based on gate results and policies
CI/CD Integration
Seamless integration with your existing pipeline
CI/CD Platforms
Jenkins, GitHub Actions, GitLab CI
Monitoring
DataDog, New Relic, Grafana
Notifications
Slack, Teams, PagerDuty
Issue Tracking
Jira, Linear, GitHub Issues
Implement Quality Gates
Prevent quality issues from reaching production with intelligent release control