– By Swastik Chakraborty
The nature of customer behaviour has forced enterprises to rethink their strategy about how they design and run modern workloads. That is why businesses must continually adapt to meet changing customer demands in today’s rapidly evolving digital transformation landscape. The cloud has become a force multiplier for driving cost efficiency, operational flexibility, and increasing customer engagement in the digital economy. It is now the go-to platform for many businesses and technology innovations – enabling a new range of workloads from Artificial Intelligence (AI) and Machine Learning (ML) to HPC, IoT, and Edge Computing.
The popularity of cloud technology can be gauged from the fact that its market is proliferating. The market is projected to grow from USD 676.29 billion in 2024 to USD 2,291.59 billion by 2032, exhibiting a CAGR of 16.5% during the forecast period. In this article, we will discuss the impact of cloud computing and how businesses are embracing cloud technology to upend their existing IT infrastructure and stay relevant in a hyper-competitive market witnessing the impact of disruptive technologies, including the latest buzzword, Generative AI.
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Cloud Adoption Models
The cloud models that enterprises adopt are entirely dependent on the workload. Businesses consider moving various workloads to the cloud based on their strategic goals, operational needs, and the advantages the cloud platform offers. The critical workloads enterprises often migrate are application hosting, including web and enterprise applications, Data Storage and Backup, DevOps and Development Environments, Big Data Analytics, AI & ML, Collaboration and Productivity Tools, HPC, Gaming and Virtual Reality, etc. The common types of cloud models that enterprises look to leverage are:
1. Public Cloud: In this model, companies use infrastructure and services provided by third-party cloud providers such as AWS, Microsoft Azure, Google Cloud, Alibaba Cloud, Oracle, Salesforce, IBM Cloud, and Tencent Cloud. Enterprises move their workloads to public cloud for resource sharing,
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