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14: The Future of Cloud Computing

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    128107
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    Cloud computing continues to evolve at a blistering pace, reshaping how organizations build and manage technology. This chapter looks ahead to emerging future trends in cloud computing – from novel serverless paradigms to the infrastructure demands of AI, new approaches to distributed consistency, sustainable cloud practices, modern enterprise strategies, and the roles that future cloud professionals will play. As cloud-native projects scale, students preparing for cloud careers must grasp these forward-looking concepts to remain at the forefront of innovation. We will explore each major trend in depth, supported by case studies from leading providers (AWS, Azure, Google Cloud) and recent research. By the end of this chapter, you will understand where cloud computing is headed and how to align projects and skills with this future landscape.

    Learning Objectives 

    After completing this chapter, students will be able to:

    1. Analyze emerging trends in serverless computing including stateful workflows, edge serverless, and multi-cloud serverless frameworks.
    2. Explain the infrastructure demands of large-scale AI/ML including GPUs, TPUs, distributed training, and foundation model hosting.
    3. Describe MLOps practices and how cloud platforms support the end-to-end ML lifecycle.
    4. Evaluate the environmental impact of cloud computing and sustainable cloud practices (Green AI, carbon-aware scheduling).
    5. Assess the role of AIOps in automating cloud infrastructure management and operations.
    6. Identify evolving cloud career roles and the skills needed for future cloud professionals.
    7. Synthesize multiple cloud computing trends to envision how enterprise cloud strategies will evolve.


    This page titled 14: The Future of Cloud Computing was last modified on Sat, 12 Sep 2026 08:40:20 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Felix Amoruwa.

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