DevOps Workflow

We follow a proven methodology to implement Azure DevOps with GitHub that ensures success at every stage of your transformation journey.

Testing & Optimization

We rigorously test your pipelines, optimize performance, and establish monitoring with Azure Monitor and GitHub insights.

Comprehensive Testing

  • Unit and integration testing
  • End-to-end scenario validation
  • Performance and load testing
  • Security vulnerability scanning
  • Chaos engineering experiments

Pipeline Optimization

  • Parallel job execution
  • Dependency caching
  • Artifact management
  • Resource allocation tuning
  • Cost-effective scaling

Monitoring & Insights

  • Pipeline performance metrics
  • Failure rate analysis
  • Test coverage tracking
  • Deployment frequency
  • Mean time to recovery

Our Testing Framework

Unit Testing

Isolated component testing with high coverage requirements:

  • Jest, NUnit, xUnit
  • 80%+ coverage target
  • PR gate requirement
Integration Testing

Component interaction and service communication:

  • Test containers
  • Mock services
  • Contract testing
E2E Testing

Full system validation with production-like data:

  • Selenium, Cypress
  • User journey validation
  • Performance baselines
Chaos Engineering

Resilience testing under failure conditions:

  • Chaos Mesh
  • Failure injection
  • Recovery validation

Pipeline Optimization Metrics

We track these key metrics to continuously improve your pipeline performance:

Build Duration Improved by 65%
Test Execution Time Reduced by 42%
Deployment Frequency Increased by 3.5x
Pipeline Cost Optimized by 38%

Optimization Techniques

Parallel Execution

Distribute tests and builds across multiple agents to reduce wall-clock time while maintaining resource efficiency.

GitHub Actions Matrix
Azure Parallel Jobs
Dependency Caching

Cache package dependencies and build artifacts between runs to eliminate redundant downloads and compilation.

npm/yarn cache
Docker layer cache
Test Selection

Intelligently select tests to run based on code changes, failure history, and risk assessment to optimize feedback cycles.

Impacted Tests
Flaky Test Detection

Our Testing & Optimization Toolkit

We use these technologies to ensure your pipelines are efficient and reliable:

Jest Cypress Selenium JMeter Azure Monitor GitHub Insights Chaos Mesh Grafana

Ready to Optimize Your Pipeline Performance?

Let us help you build faster, more reliable CI/CD workflows with comprehensive testing.