Authors : Kavitha D D; Mohammed Faris Sait; Ronit Raj Singh; Priyanshu; Mohammed Saquib Raza

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/46rvuate

DOI : https://doi.org/10.38124/ijisrt/25may1223

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Social media platforms have become integral to modern communication, relying heavily on cloud computing infrastructure for scalability, availability, and global reach. This paper provides a comprehensive overview of cloud-based social media platforms, examining their underlying architectures, inherent challenges, and emerging trends. We explore the critical role of cloud services (IaaS, PaaS, SaaS) and architectural patterns like microservices and serverless computing in enabling these platforms to handle massive user loads and diverse functionalities. Key challenges, including ensuring high availability, managing costs, implementing effective content moderation, addressing security and privacy concerns, and navigating the complexities of data analytics, are discussed. The paper delves into the rise of decentralized social media alternatives, leveraging technologies like blockchain and protocols such as the AT Protocol, aiming to enhance user control and censorship resistance. Furthermore, we investigate the increasing importance of platform engineering principles and the integration of Artificial Intelligence (AI) for optimizing operations, improving user experience, and enabling advanced analytics. Finally, we identify significant research gaps and outline future directions, including interoperability standards, ethical AI deployment, postgrowth models, and sustainable cloud practices. This work synthesizes recent research (2023- 2025) to offer insights into the evolving landscape of social media infrastructure.

Keywords : Cloud Computing, Social Media Platforms, Platform Engineering, Decentralized Social Media, Scalability, Big Data Analytics, Artificial Intelligence, User Experience, AT Protocol, Microservices, Content Moderation, IEEE Format.

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