Your Ultimate Destination for Streaming Movies & Shows


Mormati, a rapidly growing regional Over-The-Top (OTT) platform, is revolutionizing the way audiences consume digital content. Catering to a diverse and expanding user base, Mormati focuses on providing high-quality, engaging media content across various genres. The platform’s mission is to deliver a seamless entertainment experience to users on both mobile and web platforms, ensuring accessibility and convenience.
Online Streaming
Amazon EC2, Amazon ECS, Amazon S3 (Glacier), AWS CloudWatch, AWS CloudTrail, Amazon CloudFront, Route 53, AWS WAF, ALB, AWS Lambda, AWS IAM with OpenID Connect (OIDC), and GitHub Actions.
Mormati, an emerging regional OTT platform, required a robust backend infrastructure capable of handling extensive media uploads, processing, and seamless content delivery to users on both mobile and web platforms. The platform's primary objectives included achieving high scalability to support a growing user base, ensuring minimal downtime, and delivering content with low latency and adaptive bit rate streaming for a smooth, uninterrupted viewing experience. However, meeting these requirements came with significant challenges, especially for streaming, where backend systems needed to manage high peak traffic loads and avoid buffering, even during popular releases or live events.
Security and data integrity were also paramount, given the sensitive nature of user data and premium content, requiring strong encryption, access controls, and reliable storage solutions. To address the need for a flexible and resilient system, Mormati sought a microservices-based architecture that could support rapid deployment of new features without impacting existing services. Additionally, robust monitoring and alerting capabilities were essential to provide real-time insights into system performance, helping the team to proactively address issues such as bandwidth spikes or latency problems that could degrade the streaming experience.

Performance Optimization: Ensuring a high-performance user experience is a critical challenge for any OTT platform, particularly under heavy traffic conditions. The backend infrastructure must deliver low-latency content, high-speed streaming, and fast response times, even during peak demand. This involves strategic caching to reduce load times, efficient load balancing to evenly distribute requests across servers, and scalable processing to manage high concurrent usage without lag or buffering.
Complex Infrastructure Management: With a microservices architecture, individual services such as user management, content catalog, and subscriptions operate independently. While this provides flexibility, it introduces complexity in managing dependencies, deployments, and updates. Coordinating these services requires careful handling of service discovery, inter-service communication, and network configurations to avoid bottlenecks or downtime. Monitoring the health of each microservice, troubleshooting issues, and managing deployments .
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To deliver low-latency content, we implemented Amazon CloudFront for caching, reducing load times by distributing content closer to users. The Application Load Balancer (ALB) balances incoming traffic across backend services, ensuring efficient load management and optimal response times.
Security is enforced with AWS WAF and AWS Shield Standard to protect against DDoS attacks and unauthorized access. IAM roles with OpenID Connect (OIDC) securely manage access for developers and CI/CD workflows, while S3 encryption ensures secure storage of user data and media files.
By using a microservices architecture on Amazon ECS with Fargate, each service operates independently, simplifying scaling and fault isolation without the need to manage server infrastructure. ECS Service Connect handles internal routing and service discovery, enabling smooth communication between microservices.
Our architecture is designed for high availability with multi-AZ deployments for ECS with Fargate, DocumentDB, and ALB, ensuring resilience in case of zone failures. Auto-scaling is configured for ECS, automatically adding instances to handle traffic spikes. Automated recovery mechanisms and redundancy at every critical layer ensure minimal impact on end users in the event of failures
With auto-scaling configured for ECS tasks on Fargate, the infrastructure can adjust resources based on demand, removing the need to manage individual servers. The Application Load Balancer dynamically distributes requests, preventing service overload during high-traffic periods. This setup enables on-demand scaling, which is essential for accommodating traffic surges during popular events or new content releases
We optimize costs by using Fargate instances, which allow auto-scaling of containers without managing servers, and spot instances for non-critical ECS workloads to reduce compute expenses. VPC endpoints for S3 limit data transfer costs by keeping traffic within the network. AWS Budgets and Cost Explorer enable regular spending monitoring, while resource tagging helps track and optimize costs effectively.


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