𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐍𝐞𝐭𝐟𝐥𝐢𝐱

This white paper presents a comprehensive analysis of the challenges faced by users of a video streaming service Netflix and proposes a robust system design to address these challenges. The study identifies key user challenges such as device compatibility, internet connectivity, content discovery, buffering and playback issues, and security and privacy concerns.The proposed system design leverages the latest technologies as of 2023, including advanced JavaScript frameworks for frontend technology, Elastic Load Balancer (ELB) for backend architecture design, and advanced database management systems for handling data storage and processing. The design also incorporates key components and interactions with ZUUL and Hystrix, utilizes caching with EV Cache, and minimizes latency through adaptivestreaming.

Artificial Intelligence and Machine Learning (AI/ML) play a pivotal role in this system design, enabling personalized experiences, improving performance, and enhancing security. The white paper highlights the use of AI/ML in various components of the system design, including personalized content recommendations, advanced caching algorithms, and encryption mechanisms.This white paper concludes with a set of recommendations aimed at enhancing the user experience, improving service delivery, and ensuring the continued success of the platform. These recommendations emphasize the need for continuous innovation and adaptation in response to the rapidly evolving nature of technology.

In a nutshell, this white paper provides a roadmap for building a scalable, reliable, and user-friendly video streaming service Netflix that can effectively address user challenges and stay ahead in the competitive landscape. The proposed system design, underpinned by the latest technologies and AI/ML capabilities, promises to transform the user experience and set new benchmarks in the video streaming industry.

Skills: PyTorch · Machine Learning · A/B Testing · agile development and scrum · TensorFlow · Microservices · Generative AI · Project Management · Amazon Web Services (AWS) · Python (Programming Language) · Large Language Models (LLM) · Business Development · Digital Marketing · DevOps · Software Development · Product Management · User Experience (UX) · Data Analytics · Artificial Intelligence (AI)