Enhancing High-Performance Cloud Infrastructure for a Large Audio Streaming Platform

The client’s media streaming platform faces difficulties in handling increasing user demand across multiple connected devices, ensuring high-quality content delivery during peak times, and optimizing operational costs. Their infrastructure struggles to support high request volumes, affecting user experience and scalability.

A large-scale media streaming company with millions of active users, offering live radio, music streaming, podcasts, and broadcasting services across diverse connected devices.

• Migrate existing on-premises data center infrastructure to a scalable cloud environment to reduce operational costs.
• Refactor platform code for improved performance and maintainability, transitioning from legacy frameworks to modern, containerized architectures.
• Enhance platform scalability to support up to 20,000 requests per second during peak periods.
• Improve content delivery by implementing edge caching solutions to minimize latency across diverse connected devices.
• Develop features to unify user subscriptions and facilitate seamless account linking across different voice assistants and smart devices.
• Ensure reliable backup and disaster recovery solutions within the cloud environment.

• Platform code refactoring from legacy frameworks to modern, containerized architectures (e.g., Kubernetes).
• Migration of on-premises infrastructure to cloud services, including Kubernetes clusters and serverless components.
• Implementation of a multi-level caching system (e.g., in-memory, Redis, database caching) to handle high request volumes efficiently.
• Use of content delivery networks (CDN) for edge caching to improve content delivery speed and reduce latency.
• Development of external device integrations, including voice assistants (e.g., Alexa, Google Assistant) with enhanced skill development and account linking support.
• Design of reliable backup solutions utilizing cloud storage services with infrastructure as code (e.g., Terraform).
• Monitoring and auto-scaling configurations based on metrics such as CPU usage and request queue lengths.

• Voice assistants (e.g., Alexa, Google Assistant) for voice command features and account linking
• Content delivery networks for edge caching
• Payment and subscription management systems for unified user billing
• Monitoring and alerting tools for infrastructure health and performance

• Scalability to support at least 20,000 requests per second during peak periods
• High availability with minimal downtime for 99.9% uptime goal
• Latency reduction achieved through edge caching and optimized content delivery
• Cost optimization by migrating to Linux-based cloud infrastructure and utilizing cost-effective managed services
• Robust disaster recovery and backup strategies implemented via cloud storage services
• Security best practices including data encryption, access controls, and secure integrations

The project aims to significantly enhance platform performance, enabling handling of high request volumes with minimal delays. Operational costs are expected to decrease through cloud migration and infrastructure optimization. User experience will improve via device compatibility and seamless subscription management, contributing to increased user satisfaction and retention.