DevOps & Deployment Streamlining development workflows with automated CI/CD pipelines and cloud infrastructure.
Expert in DevOps practices and cloud deployment, delivering automated workflows and scalable infrastructure.
Implementing modern DevOps practices with Docker containerization, CI/CD automation, cloud platform deployment (AWS, Heroku, Vercel, DigitalOcean), and comprehensive monitoring solutions. Ensuring seamless deployment pipelines and production-ready applications.
"Automating deployment processes to deliver faster, more reliable software releases."
45+
Deployments
Completed
99%
Deployment
Success Rate
3+
Years of
Experience
24/7
System
Monitoring
Core Capabilities
DevOps Tech Stack
Containerization & Orchestration
Building containerized applications for consistent deployment across environments:
- Docker – Container creation, multi-stage builds, and image optimization
- Docker Compose – Multi-container application orchestration and local development
- Container Registry – Docker Hub, AWS ECR, and GitHub Container Registry management
- Kubernetes Basics – Container orchestration, scaling, and service management
CI/CD Pipelines
Automated build, test, and deployment workflows for rapid software delivery:
- GitHub Actions – Automated workflows for testing, building, and deployment
- GitLab CI/CD – Pipeline configuration and automation for continuous delivery
- Jenkins – Build automation and continuous integration server setup
- Automated Testing – Integration of unit tests, integration tests, and code quality checks
Cloud Deployment & Hosting
Deploying applications to leading cloud platforms with optimal configuration:
- AWS – EC2, S3, RDS, Lambda, and Elastic Beanstalk deployment
- Vercel & Netlify – Serverless deployment for frontend and full-stack applications
- Heroku & DigitalOcean – Platform-as-a-Service deployment and droplet management
- Domain & SSL – Custom domain configuration, DNS management, and SSL certificates
Deployment Strategy
DevOps Implementation Process
Infrastructure Planning
Analyze application requirements and select appropriate cloud platform based on scalability needs, budget, and technical requirements. Design infrastructure architecture including servers, databases, storage, and networking. Create deployment strategy with staging and production environments. Plan resource allocation, auto-scaling policies, and disaster recovery procedures.
Containerization Setup
Create optimized Dockerfiles with multi-stage builds for minimal image size. Configure Docker Compose for multi-container applications and local development. Build and test container images ensuring proper dependency management. Implement container security best practices including non-root users and minimal base images. Push images to container registries with proper versioning and tagging.
CI/CD Pipeline Configuration
Set up automated workflows using GitHub Actions, GitLab CI, or Jenkins. Configure pipeline stages: code checkout, dependency installation, testing, building, and deployment. Implement automated testing including unit tests, integration tests, and linting. Add security scanning for vulnerabilities and code quality checks. Configure environment-specific deployments with proper secrets management and rollback capabilities.
Monitoring & Optimization
Implement comprehensive monitoring using CloudWatch, New Relic, or Datadog. Set up logging infrastructure with centralized log management and analysis. Configure alerting for critical issues including downtime, high CPU usage, and errors. Establish performance monitoring for response times, throughput, and resource utilization. Continuously optimize infrastructure costs, performance, and security. Provide detailed deployment documentation and ongoing support for maintenance and updates.
