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Cloud Computing

CLOUD COMPUTING

We implement a customized, risk-mitigated cloud strategy that incorporates all deployment models while ensuring minimal downtime. With Jarvisden’s vast expertise, we provide a full range of cloud deployment services, assisting organizations in assessing their needs, optimizing costs, and monitoring availability effectively.

Strategic Cloud Adoption for Organizational Excellence

Embracing cloud technology is not just a move; it's a strategic shift that organizations make to reduce costs, mitigate risks, and achieve unparalleled scalability. The depth of cloud adoption serves as a barometer of best practices maturity and the availability of enterprise-ready cloud services

Join us in embracing the future of work and security. Elevate your organization with cloud solutions designed for flexibility, efficiency, and peace of mind. Contact us to explore how DaaS, and SaaS can transform your business.

Our Cloud Deployment Models
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A public cloud is a cloud computing model in which services and infrastructure are delivered by a third-party provider over the internet and shared by multiple customers. Resources are distributed across several organizations (tenants), offering flexibility to scale as workloads change. It follows a pay-as-you-go pricing structure, meaning you only pay for the resources you consume.

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A private cloud is a cloud computing environment designed exclusively for a single organization, providing enhanced control and security. The resources are not shared with other organizations, allowing for greater customization to meet specific business requirements. It offers increased control over data, compliance, and security protocols.

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A hybrid cloud integrates not only public and private clouds, but also on-premises and clouds, enabling the sharing of data and applications across the two environments. This model offers enhanced flexibility and maximizes the use of existing infrastructure. Workloads can shift between environments as needed, optimizing costs by keeping sensitive data on-premises while utilizing public clouds for less sensitive tasks. Seamless operation between these environments requires careful integration.

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