Rethinking cloud strategies so applications and data can run anywhere

Organizations are now re-evaluating their cloud strategies

AI-powered applications have emerged as long-term drivers for enterprises
AI-powered applications have emerged as long-term drivers for enterprises

By Faiz Shakir

In the ever-evolving landscape of cloud computing, organizations in India are experiencing a paradigm shift. They rushed toward the cloud, but many are now realizing that they may have placed their eggs in the wrong baskets. This realization has sparked a renewed focus on optimizing data and application placement to maximize business impact while reducing cost and complexity.

Reallocating Resources

Organizations are now re-evaluating their cloud strategies. As a result of their haste to migrate to it, they are now realizing they have inadvertently disregarded the importance of finding the right environment for their data and workloads. By aligning resources and expenditures with actual business needs, they can cut down on unnecessary provisioning and wastage, thereby optimizing cloud expenses.

This necessitates the ability to scale computing and storage resources effectively. Such scalability ensures that the infrastructure is responsive to fluctuating workload demands, thereby reducing costs associated with underutilized resources. By adopting a cloud operating model that allows for on-demand scaling of resources, organizations can align their infrastructure with business needs, maximizing both efficiency and cost-effectiveness. This shift in perspective positions the cloud as an alternative option rather than a one-size-fits-all destination.

Dynamic Operations

Embracing a hybrid multicloud strategy is paramount for organizations seeking to minimize the impact of misjudged actions and adapt to changing business demands. The ability to allocate resources across the edge, public clouds, and on-premise in private clouds provides the necessary agility and flexibility to optimize workloads. Organizations can mix and match workloads in the environment that makes the most sense.

A significant advantage of adopting a hybrid multicloud model is the ability to maintain a consistent operating model across various environments. This eliminates the need to juggle multiple tools, processes and skill sets, reducing complexity and eliminating time-consuming refactoring when applications need to be moved. By streamlining operations, organizations can contain costs, enhance productivity, and ensure a unified experience across their diverse infrastructure. A holistic IT strategy that seamlessly integrates on-premises, edge, and hybrid multicloud will empower organizations to remain agile and responsive to evolving business needs.

Potential of AI

AI-powered applications have emerged as long-term drivers for enterprises. Organizations today are building more AI applications and the ability to run these workloads wherever they desire is crucial. Aligning resources and spending directly with business demands allows organizations to reduce over-provisioning and waste, resulting in lower cloud costs. A hybrid multicloud model offers the necessary flexibility to run AI workloads in the most suitable environments, ensuring optimal performance and cost-efficiency.

Furthermore, hybrid multicloud provides organizations with greater visibility and control over their data, addressing concerns around data governance and compliance. By leveraging the power of AI in diverse environments, organizations can capitalize on the value it brings, irrespective of their infrastructure setup. As compute costs for running AI on-premise or in the public cloud rise, organizations are increasingly recognizing the value of synthesizing AI data closer to the source, even on the network’s edge. 

Several organizations serve as compelling examples of the benefits of adopting a flexible hybrid multicloud strategy. Once such company is The State Bank of India (SBI) which  has leveraged hybrid cloud solutions to transform its services, enhancing customer experience and operational efficiency. This enabled the bank to seamlessly manage increasing transaction volumes, catering to more than 490 million customers nationwide. In a similar vein, Future General India, a prominent player in India’s private insurance sector, underwent a thorough evaluation of cloud deployment options. However, their analysis revealed that a pure cloud approach was financially unviable due to stringent regulations mandating on-premise storage of customer data. Consequently, they selected the Nutanix Cloud Platform as the ideal solution, offering a blend of agility, security, and connectivity to public cloud services while adhering to Indian legal mandates. This strategic adoption yielded an impressive 91% enhancement in application response times, thereby empowering insurance distributors to serve their clientele with increased efficiency. These illustrative cases underscore the tangible benefits of a flexible hybrid multicloud strategy in addressing evolving business requirements.

Today, Indian enterprises are currently experiencing a period of significant change in cloud computing, reassessing their cloud strategies. By making informed decisions, embracing hybrid multicloud, and enabling ultimate flexibility for AI workloads, businesses can maximize their impact, lower costs, and adeptly respond to emerging demands. Companies like Nutanix are leading this transformation, enabling organizations to traverse the cloud environment and discover new business prospects.

The author is managing director,Sales, Nutanix India and SAARC, Nutanix

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This article was first uploaded on November thirteen, twenty twenty-three, at forty-eight minutes past five in the evening.
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