End-to-End Automated Streaming Platform (Jio-Hotstar) Deployment: A DevOps Deep Dive 🚀

Source: Dev.to

Introduction

Streaming platforms require high availability and seamless scaling. In this project I built and deployed a Jio‑Hotstar clone using a full DevOps lifecycle—from Infrastructure as Code (IaC) to automated CI/CD pipelines. The setup demonstrates how modern streaming giants manage massive workloads.

Technology Stack

• Cloud: AWS (EC2, EKS, S3)
• IaC: Terraform
• Containerization: Docker & Kubernetes (EKS)
• CI/CD: Jenkins & GitHub Actions
• Monitoring: Prometheus & Grafana
• Security: SonarQube & Trivy

Deployment Flow

1. Infrastructure Provisioning – Terraform spins up an AWS EKS cluster.
2. CI/CD Pipeline – Jenkins triggers on every code push, runs unit tests, and performs security scans.
3. Dockerization – Application images are built and pushed to Amazon ECR.
4. Orchestration – Kubernetes deploys the workloads and uses Load Balancers for traffic management.
5. Monitoring – Real‑time metrics are captured with Prometheus & Grafana to ensure 99.9 % uptime.
6. Zero‑Downtime Deployment – Rolling updates in Kubernetes provide seamless releases.
7. Security First – SonarQube checks code quality; Trivy scans container images for vulnerabilities.
8. Scalability – Horizontal Pod Autoscaler (HPA) handles traffic spikes during peak events.

Resources

• Full step‑by‑step guide & source code

  • GitHub repository:

• Documentation

  • Jenkins:
  • SonarQube:
  • Docker:
  • Kubernetes (EKS):

• Citation

  • Anilkumar, N. (2024). JioHotstar-DevOps-Project: Real-time DevOps Pipeline Implementation. GitHub Repository.