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Data processing infrastructure has become the lifeline for a wide variety of businesses. Outrages are at risk for every business and this depends highly on the decision-making of choosing the company data infrastructure. As with many technical decisions that a business executive may face, choosing whether to build, buy, or partner on infrastructure is critical the pivotal question being, “How do I invest in an infrastructure that best suits my needs?”
PUBLIC CLOUD:
The public cloud offers a reliable, agile alternative for startups requiring immediate computing and reporting solutions. This option has recently gained traction in the business world, as it allows enterprises to explore, test, and validate innovative ideas and/or new workloads and then quickly scale up as needed. Major players in the public cloud space include Amazon, Google, and Microsoft.
The benefit of these data infrastructure services is that they require no initial capital investment to utilize and offer both ease of use and rapid implementation speeds. However, if users fail to properly manage these resources, hosting fees may become exorbitant. In other words, as customers scale, costs scale as well.
When to use the public cloud
The public cloud is most suitable for these types of environments:
PRIVATE CLOUD:
When a business outgrows the public cloud or is seeking greater control over network construction and reliability, the private cloud may be a suitable alternative. Moving into this space is typically influenced by business-specific factors, such as the volume of data and transaction processing, and ability to forecast volumes, the need for increased reliability or uptime, and costs of capital. This route also has significant financial impacts, as it represents a major fixed cost in scaling a business (as opposed to a public cloud setup) but lower total costs.
The private cloud is customizable to meet the unique business and security needs of the organization. With greater visibility and control into the infrastructure, organizations can operate compliance-sensitive IT workloads without compromising on the security and performance previously only achieved with dedicated on-premise data centers.
When to use the private cloud
The private cloud is best suited for:
Conclusion
To choose a data infrastructure service for the organization, its very important to understand your organization's operations first. Choosing a public cloud with no capital investment is both a cost-effective and useful option when the supported technology is new and evolving and the necessary resources, storage, and network bandwidth are not yet fully understood. With a private cloud option, a decision must also be made about whether to leverage a third-party provider or own and operate the hardware.
No matter what data infrastructure you choose for your company, having a data infrastructure services provider like Alpha Data understands your operations better and faces data challenges in the future.
PUBLIC CLOUD:
The public cloud offers a reliable, agile alternative for startups requiring immediate computing and reporting solutions. This option has recently gained traction in the business world, as it allows enterprises to explore, test, and validate innovative ideas and/or new workloads and then quickly scale up as needed. Major players in the public cloud space include Amazon, Google, and Microsoft.
The benefit of these data infrastructure services is that they require no initial capital investment to utilize and offer both ease of use and rapid implementation speeds. However, if users fail to properly manage these resources, hosting fees may become exorbitant. In other words, as customers scale, costs scale as well.
When to use the public cloud
The public cloud is most suitable for these types of environments:
- Predictable computing needs, such as communication services for a specific number of users
- Apps and services necessary to perform IT and business operations
- Additional resource requirements to address varying peak demands
- Software development and test environments
PRIVATE CLOUD:
When a business outgrows the public cloud or is seeking greater control over network construction and reliability, the private cloud may be a suitable alternative. Moving into this space is typically influenced by business-specific factors, such as the volume of data and transaction processing, and ability to forecast volumes, the need for increased reliability or uptime, and costs of capital. This route also has significant financial impacts, as it represents a major fixed cost in scaling a business (as opposed to a public cloud setup) but lower total costs.
The private cloud is customizable to meet the unique business and security needs of the organization. With greater visibility and control into the infrastructure, organizations can operate compliance-sensitive IT workloads without compromising on the security and performance previously only achieved with dedicated on-premise data centers.
When to use the private cloud
The private cloud is best suited for:
- Highly regulated industries and government agencies
- Sensitive data
- Companies that require strong control and security over their IT workloads and the underlying infrastructure
- Large enterprises that require advanced data center technologies to operate efficiently and cost-effectively
- Organizations that can afford to invest in high performance and available technologies
Conclusion
To choose a data infrastructure service for the organization, its very important to understand your organization's operations first. Choosing a public cloud with no capital investment is both a cost-effective and useful option when the supported technology is new and evolving and the necessary resources, storage, and network bandwidth are not yet fully understood. With a private cloud option, a decision must also be made about whether to leverage a third-party provider or own and operate the hardware.
No matter what data infrastructure you choose for your company, having a data infrastructure services provider like Alpha Data understands your operations better and faces data challenges in the future.
