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Enterprise DevOps Architecture for AI & Media Analytics Platform
The project focused on building a secure, scalable, and highly available infrastructure to support a full-stack SaaS application with real-time data processing, media delivery, and audience analytics. Key responsibilities included: - Designing CI/CD pipelines using GitHub Actions and Docker for automated build, test, and deployment workflows. - Deploying backend services (Node.js and Python/FastAPI) on AWS using container-based infrastructure (ECS/EC2). - Configuring cloud resources such as RDS (PostgreSQL), S3, and CloudFront for reliable data storage and media distribution. - Implementing environment separation (dev/staging/production) and zero-downtime deployment strategies.
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