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BRAVE TV
Global OTT streaming platform reaching #1 on App Store
2023–2025
ReactNode.jsAWSDevOpsOTT
Role
HEAD OF Information Technology (IT)
Overview
BRAVE TV is a global OTT streaming platform delivering live MMA events, VOD content, and fan engagement features to users worldwide. The platform supports high-traffic live events, strict latency requirements, and monetization through subscriptions and pay-per-view.
Problem
- •Rapid growth of BRAVE CF events created scalability and reliability challenges
- •Live events required ultra-low latency and high availability
- •Legacy Waterfall methodology caused 3-6 month release cycles, preventing rapid iteration
- •Board members lacked real-time visibility into platform performance, user engagement, and business metrics
- •Fragmented systems across web, mobile apps, OTT, subscriptions, and analytics
- •Global audience required secure, resilient, and scalable infrastructure
- •No centralized data insights for strategic decision-making
Approach
- •Led end-to-end digital transformation across OTT, mobile, and web platforms
- •Spearheaded migration from Waterfall to Agile methodology with 2-week sprints, reducing release cycles from months to days
- •Implemented DevOps practices: automated CI/CD pipelines, infrastructure as code, continuous deployment
- •Built comprehensive data analytics layer integrating Google Analytics, Google Search Console, and custom event tracking
- •Created executive dashboards in Looker Studio providing real-time insights on user engagement, content performance, revenue metrics
- •Designed scalable backend services and APIs for content delivery, user management, and subscriptions
- •Implemented cloud-first architecture focused on performance and fault tolerance
- •Established data-driven decision culture: board members now access live KPIs, A/B test results, and predictive analytics
- •Introduced monitoring, alerting, and disaster recovery planning for live events
Architecture
API-driven architecture with cloud-first infrastructure and comprehensive data analytics layer
System Components
- →Frontend: Web + Mobile OTT apps (React, responsive design)
- →Backend: API-driven architecture (RESTful services, Node.js/Express)
- →Infrastructure: AWS (EC2, Load Balancers, CloudWatch, AMIs)
- →CI/CD: Automated deployment pipelines with Jenkins/GitHub Actions
- →Agile Workflow: 2-week sprints, daily standups, sprint retrospectives, Jira/Trello boards
- →Security: Secure authentication, access controls, and infrastructure hardening
- →Analytics Layer: Event-driven tracking (Google Analytics 4, custom events)
- →Data Visualization: Looker Studio dashboards for executive insights
- →SEO & Performance: Google Search Console integration for organic growth tracking
- →Real-time Monitoring: CloudWatch + custom metrics for live event performance
Architecture Diagram Placeholder
Results & Impact
- ✓Successfully supported millions of global users during live fight nights
- ✓Reduced release cycles from 3-6 months (Waterfall) to 2-week sprints (Agile), improving time-to-market by 90%
- ✓Achieved high availability with minimal downtime during peak traffic
- ✓Empowered board members with real-time analytics dashboards: 40% improvement in data-driven strategic decisions
- ✓Improved release velocity and platform stability through DevOps automation
- ✓BRAVE TV reached #1 Trending on App Store
- ✓Won multiple awards including Best Practice in e-Participation (iGA) and Bahrain Digital Content Award
- ✓Data analytics insights led to 25% increase in user engagement through content optimization
Technologies Used
React
Node.js
REST APIs
AWS EC2
Load Balancers
CloudWatch
CI/CD
Agile/Scrum
DevOps
Google Analytics
Google Search Console
Looker Studio
Data Visualization
My Contribution
- •Owned platform architecture and technical roadmap
- •Championed Agile transformation: trained teams on Scrum methodology, established sprint ceremonies, reduced delivery cycles by 90%
- •Built executive analytics framework: designed Looker Studio dashboards integrating Google Analytics, Search Console, and custom business metrics
- •Led cross-functional teams (engineering, operations, content, marketing) using Agile principles
- •Translated complex technical data into actionable insights for board members and C-suite executives
- •Ensured performance, scalability, and security for global live events
- •Acted as technical bridge between executive leadership and engineering teams
- •Established data-driven culture: KPIs, A/B testing, experimentation framework
Screenshots
