Building and Deploying a Scalable Video Platform: DevOps Contributions from the VibeRoll Project

As part of my work on VibeRoll, a next-generation video-sharing platform with blockchain integrations, I led the full backend architecture and DevOps implementation. This post outlines how I applied advanced DevOps practices, overcame infrastructure challenges, and built a CI/CD pipeline that aligns with industry best practices. The project is fully open-source and available at GitHub Repo.

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Why DevOps Matters for Media-Heavy Applications

VibeRoll aims to blend social video sharing with NFT and AI integrations. The infrastructure requirements included:

• High I/O and network throughput for video uploads
• Real-time data support using Redis
• Token-based authentication and rate limiting
• Frequent iteration and deployments

To deliver this reliably, I implemented a DevOps-first approach.

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Cloud Infrastructure and CI/CD Pipeline

I deployed the application on an Azure Linux VM, using:

• Node.js (Express) for the backend API
• PostgreSQL and Redis for persistent and cache storage
• GitHub Actions for CI/CD with service containers

Contributions:

• Created a CI/CD workflow that:

  • Spins up Postgres and Redis using Docker
  • Installs dependencies, runs tests, linting, and audit checks
  • Seeds a test database via Prisma

• Authored the .github/workflows/ci.yml from scratch and debugged cross-service health checks

Repo: viberoll-backend GitHub

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Dependency and Security Management

During testing, GitHub Dependabot flagged a high-severity SSRF vulnerability in axios.

My Actions:

• Used npm-check-updates to upgrade all packages
• Integrated Dependabot into the CI lifecycle
• Configured GitHub Actions to fail builds on npm audit high-severity issues

Impact:

• Improved application security posture
• Ensured continuous compliance with open-source package hygiene

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Infrastructure as Code and Database Migrations

To support version-controlled schema changes:

• I added Prisma ORM with full migration and seed capabilities
• Wrote seed scripts to automate admin account provisioning
• Enabled repeatable test environments in CI/CD

npx prisma migrate deploy
npx prisma db seed

This ensured consistency between local, test, and production environments.

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Swagger UI and Dynamic Cloud URLs

Swagger by default binds to localhost, which fails in cloud deployments. I enhanced it to dynamically detect IPs:

const baseUrl = `${process.env.HOST || 'http://localhost:'}${process.env.PORT || 4000}`;

This allowed both local and public Swagger API access, critical for QA and frontend developers.

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Final DevOps Checklist

Task	Description	Status
CI/CD Pipeline	GitHub Actions with Docker containers	✅ Done
Prisma Migrations	Schema version control	✅ Done
Seed Script	Automated admin and test data	✅ Done
.env.example	Environment templating and validation	✅ Done
Swagger Dynamic Host	Public documentation support	✅ Done
Security Audit Integration	npm audit + Dependabot	✅ Done

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Outcomes and Lessons Learned

• Reduced onboarding time by automating dev setup and DB creation
• Shortened deploy cycles with CI/CD pipelines
• Prevented production risks by patching vulnerabilities early
• Enabled safe multi-user collaboration via GitHub workflows

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Conclusion

In this project, I showcased how DevOps practices, from CI/CD automation to security enforcement, can transform a backend service from being local-only to becoming cloud-ready. My contributions included infrastructure planning, toolchain integration, and ensuring deployment resilience.

This work reflects my ability to build, scale, and secure cloud-native services with DevOps methodologies.

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Feel free to explore the open-source repo and CI/CD workflows: Open-source viberoll-backend repo.