CI/CD Pipeline Automation – Novain Technologies
At Novain Technologies, I implemented automated pipelines for Continuous Integration and Continuous Delivery (CI/CD) to streamline software development, accelerate deployments, and enhance system reliability. My work focused on automating code integration, testing, and deployment processes to ensure seamless delivery of high-quality applications.
Key Responsibilities & Achievements
- CI/CD Pipeline Setup & Automation
- Designed and implemented CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and CircleCI for automated builds and deployments.
- Configured multi-stage pipelines for development, staging, and production environments.
- Ensured smooth integration with cloud platforms (AWS, Azure, Google Cloud) for seamless deployment.
- Automated Testing & Quality Assurance
- Integrated unit, integration, and end-to-end testing into pipelines using Selenium, Jest, PyTest, and JUnit.
- Implemented code quality checks with tools like SonarQube and ESLint.
- Automated security scanning using Snyk and OWASP Dependency-Check to detect vulnerabilities.
- Containerization & Deployment
- Implemented Docker-based CI/CD workflows for consistent application deployment.
- Deployed containerized applications using Kubernetes (EKS, AKS, GKE) for scalability and resilience.
- Automated infrastructure provisioning with Terraform and Ansible.
- Version Control & Branching Strategies
- Managed Git workflows (GitFlow, trunk-based development) for efficient collaboration.
- Enforced automated code reviews and merge request approvals for maintainable code.
- Configured feature flagging and blue-green deployments to enable safe releases.
- Monitoring & Performance Optimization
- Integrated logging and monitoring tools like Prometheus, Grafana, and ELK Stack for real-time pipeline tracking.
- Set up automated rollback mechanisms in case of failed deployments.
- Reduced deployment time by optimizing build caching and parallel execution.
Through these improvements, I helped Novain Technologies achieve faster development cycles, reduced downtime, and higher deployment reliability, ensuring a seamless software delivery process.