CASE STUDIES

Modernizing Sun NXT with Cloud-Native Architecture for Scalable OTT Growth

Case study_Sun NXT_Logituit
Customer
Sun Nxt, a leading South Indian OTT platform.
Background
Sun NXT is one of India’s leading OTT platforms, offering a vast library of movies, TV shows, live TV channels, and original content across multiple languages. The platform serves millions of users across Mobile, Web, Android TV, Apple TV, Fire TV, and Smart TV ecosystems.

Problem Statement

As the platform scaled, several technology and operational challenges began impacting agility and innovation:

  • Monolithic architecture created tightly coupled services, slowing feature development and deployment cycles.
  • Independent scaling of individual platform components was difficult, resulting in higher infrastructure costs.
  • Legacy technology stack limited the adoption of cloud-native engineering practices.
  • Manual deployment and release processes increased operational complexity and deployment risks.
  • Existing content discovery and personalization capabilities required modernization to improve viewer engagement.
  • Growing demand for short-form and Micro Drama experiences required new backend capabilities and user journeys.
  • Limited observability and monitoring reduced operational visibility and delayed issue resolution.
  • Future business growth demanded a highly scalable, resilient, and cloud-native platform architecture.
Case study_Sun NXT_Logituit

Solutions

Logituit partnered with Sun NXT to define and execute a comprehensive OTT modernization strategy focused on scalability, agility, and long-term maintainability.

Cloud-Native Architecture Transformation

  • Transitioned the legacy monolithic platform to a domain-driven microservices architecture.
  • Containerized services using Docker and deployed workloads on Amazon EKS.
  • Implemented horizontal auto-scaling to efficiently handle traffic spikes and peak streaming events.
  • Introduced modern CI/CD pipelines to automate deployments and accelerate releases.
  • Optimized service communication to improve reliability and scalability.

Backend and Data Modernization

  • Modernized core platform services including authentication, user profiles, subscriptions, content management, search, recommendations, and partner integrations.
  • Designed a hybrid data strategy leveraging Aurora MySQL for transactional workloads, DynamoDB for high-scale metadata operations, Redis for low-latency caching, and OpenSearch for advanced search capabilities.
  • Implemented Change Data Capture (CDC) architecture to enable seamless migration and synchronization.

Event-Driven Platform Enablement

  • Introduced an event-driven architecture powered by Amazon MSK (Kafka) for real-time processing.
  • Enabled user activity tracking, recommendation feedback loops, and analytics pipelines.
  • Established a scalable foundation for future AI and personalization initiatives.

Micro Drama Experience Enablement

  • Built dedicated backend services and user journeys to support emerging short-form content experiences.
  • Enabled vertical video playback, personalized recommendations, continue watching, watchlists, and cross-platform analytics.
  • Infrastructure, DevOps, and Observability
  • Standardized environments using Infrastructure as Code (IaC).
  • Implemented centralized logging, monitoring, distributed tracing, and operational dashboards.
  • Established high-availability architecture with automated scaling and multi-environment deployment strategies.
Case study_Sun NXT_Logituit

Impact

The modernization initiative positioned Sun NXT with a future-ready OTT platform capable of supporting continued subscriber growth and innovation.

  • Accelerated feature delivery through independently deployable microservices.
  • Improved platform scalability, resiliency, and operational efficiency.
  • Reduced infrastructure management overhead and deployment risks through automation.
  • Enhanced content discovery and personalization capabilities to improve user engagement.
  • Established a robust foundation for AI-driven recommendations, real-time analytics, and future business initiatives.
  • Improved operational visibility with centralized monitoring and observability.
  • Enabled seamless support for new experiences such as Micro Drama and advanced personalization.
  • Delivered a cloud-native architecture capable of scaling reliably during peak traffic and large streaming events.

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