Portfolio Details

Project information

Continuous Integration and Deployment Pipeline for Microservices

Description: In this project, I designed and implemented a robust CI/CD pipeline for a monolithic-based application. The goal was to automate the deployment process, ensuring rapid and reliable releases.

Technologies Used:

  • Version Control: Git, GitHub
  • Continuous Integration: Jenkins
  • Code Quality: SonarQube
  • Dependency Management: Maven, Nexus
  • Monitoring: Prometheus, Grafana
  • Log Management: Splunk
  • Cloud Platform: AWS (EC2)
  • Infrastructure-as-code: Terraform

Key Achievements:

  • Reduced deployment time by 40% through automation, resulting in an average deployment time of 8 minutes compared to the previous 15 minutes.
  • Implemented automated testing and code quality checks, leading to a 50% reduction in post-deployment issues and a 30% increase in overall code quality scores according to SonarQube metrics.
  • Achieved seamless scalability and fault tolerance using Kubernetes, enabling the application to handle a 200% increase in concurrent users without any performance degradation.
  • Established comprehensive monitoring and logging, resulting in a 60% reduction in mean time to resolution (MTTR) for production incidents, and ensuring 99.9% uptime for the application.

Lessons Learned: This project reinforced the importance of automation in ensuring consistent and reliable deployments. It also highlighted the significance of robust monitoring and logging for proactive issue resolution.

Future Enhancements: In the future, I plan to incorporate additional tools for advanced monitoring and implement blue-green deployments for zero-downtime releases.