5 Factors to Consider When Moving to the Cloud

Regardless of how cloud-based your organization’s data is, it is crucial to make an accurate estimation of the current state of your existing infrastructure before deciding how to migrate. This will determine the scope and scale of the migration. For example, you should consider the types of storage devices your company is using. This will help you decide how much storage space you need. Additionally, you should consider the types of data your company creates on a daily basis. These factors will help you determine what kind of database you need. If your business generates large volumes of data daily, you may choose to use cloud-based storage, while maintaining a physical server for your own applications and other data.


Before moving to the cloud, companies need to determine which applications and workloads to migrate. The decision to move to the cloud can be tricky and complicated because there are many different variables to consider. The move can also require realignment of staff and resources. In addition, a cloud migration can be time-consuming and prone to issues, so careful planning is necessary.

Fortunately, there are several migration options to choose from. Some companies choose to lift and shift, which means they move an application to the cloud as-is, while others opt to refit their applications and modify them for a cloud environment. While lift and shift may be a cost-effective option for organizations with existing infrastructure, it is not appropriate for organizations that are not able to afford the upfront costs associated with cloud-based infrastructure.


Compared to traditional data center computing, cloud computing provides a number of tangible and intangible benefits. For example, it makes organizations more flexible and responsive, allowing them to respond to market changes faster. Furthermore, cloud-based servers automatically scale to meet high demand, which minimizes the risk of application downtime.

Moving to the cloud also offers the opportunity to lower IT costs and allow businesses to adopt pay-as-you-go and pay-per-use models. It can also reduce the time it takes to launch new applications and enhance existing capabilities. In addition, moving workloads to the cloud can help organizations speed up innovation and improve application reliability.


As cloud adoption continues to increase, it is imperative to take the necessary steps to ensure that sensitive data is secure while moving to the cloud. One of the biggest risks is from insiders, who may not necessarily have malicious intent. In many cases, insider incidents are the result of carelessness or a lack of training. While this type of insider risk is a common problem for organizations, moving to the cloud changes the risk equation. When moving to the cloud, you hand over control of your data to a third-party cloud service provider. This introduces a new layer of insider threat from the cloud service provider’s employees.

If sensitive data is moving to the cloud, it is essential to implement strong passwords and internal security policies. Companies should also be aware of any contractual agreements with their cloud provider, since some will include restrictions on what employees can access and store. If an employee were to move restricted data to a cloud service without consent, it could be deemed a breach of contract and result in legal action. In addition, companies should carefully read the terms and conditions of each cloud service provider to ensure that they are aware of all the terms.


Scalability is a key aspect of cloud computing. It enables businesses to handle higher workloads with less effort and expense. It can also help organizations reduce the cost of growing their storage. Moreover, cloud architectures are more scalable than local infrastructures, thereby minimizing the need for additional hardware.

Scalability is achieved by creating systems that can accommodate an increase in workloads without affecting the availability or performance of existing systems. In addition, scalability is achieved horizontally and vertically through the use of virtualization.


Elasticity is the ability to change your resources when needed. For example, if you’re trying to compress large amounts of video, elasticity would allow you to scale up or down according to the demand. Initially, you may have a single machine that can serve all of the web users. When the website begins to grow in popularity, more machines are needed. This increases your costs, but the benefits are well worth it.

Elastic computing can be a valuable tool to optimize your computing resources. The main benefit is that you’ll avoid paying for capacity that’s not being used. You’ll also be able to schedule automation scripts to turn off unused resources, which allows you to use them only when you need them. Another advantage of cloud computing is that you’ll only pay for the resources you consume, which can help you cut costs and increase efficiency.