Challenge: No CI/CD pipeline, manual deployments, no standardized DevOps practices, infrastructure ambiguity.

Our Jenkins CI/CD Solution:

• Set up Jenkins server with GitHub integration
• Defined all pipelines as code (Jenkinsfiles)
• Created multi-stage pipelines for build, test, and deploy
• Integrated with EKS for Kubernetes deployments
• Implemented Helm charts for standardized deployments
• Set up separate pipelines for dev, staging, and production
• Configured Slack notifications for pipeline status

Result: Transformed from manual deployments to fully automated CI/CD, improving developer productivity and reducing deployment errors.

Challenge: Migrate 20 microservices from GCP to AWS with centralized CI/CD pipeline management.

Our GitHub Actions Solution:

• Built centralized CI/CD pipelines using GitHub Actions
• Consolidated pipeline management for multiple repositories
• Integrated with AWS services (ECR, EKS, S3)
• Implemented automated testing and security scanning
• Developed Helm charts for standardized deployments
• Adopted GitOps with Flux for Kubernetes workloads
• Set up automated secret rotation and management

Result: Achieved streamlined deployments across 20 microservices with consistent pipeline standards and improved security.

Challenge: Manual deployments on ECS, no CI/CD pipelines, need for cost-effective and secure solution.

Our GitLab CI Solution:

• Established GitLab CI/CD pipelines with self-hosted runners
• Implemented Docker image builds with ECR integration
• Set up ECR pull-through cache to avoid Docker rate limits
• Created multi-stage pipelines (build, test, deploy)
• Integrated with Terraform for infrastructure deployments
• Configured automated deployments to EKS
• Implemented GitOps with Flux for Kubernetes management

Result: Zero-downtime deployments, reduced deployment time by 90%, and achieved complete automation from code to production.

Challenge: No CI/CD pipelines, manual deployments on EC2 with PM2, frequent deployment blocks and errors.

Our Hybrid CI/CD Solution:

• Set up GitHub Actions integrated with AWS CodePipeline
• Automated deployments to staging and production
• Dockerized NodeJS and Python ML services
• Configured Lambda functions with SAM-based CI/CD
• Implemented separate AWS accounts for environments
• Automated infrastructure with CloudFormation
• Set up automated testing and quality gates

Result: Streamlined deployments, unblocked developers, reduced errors, and achieved faster time-to-market for features.