How Big Companies Are Using Custom Cloud Solutions

It’s projected that shortly, if not already, 90% of companies will use the cloud in some way. These numbers show that the cloud is an essential aspect of how companies are doing business and should be an integral component of strategic planning and innovative thinking.

One way to include cloud solutions in high-level conversations is to analyze how organizations are already using this technology to gain a competitive advantage. We’ll look at how organizations use the cloud-as-a-service for high-density storage and computing and for big data.

Using the Cloud To Provide Services To Your Customers

With more frequency, businesses are using the cloud to deliver valuable services to their customers. SaaS (software-as-a-service), IaaS (infrastructure-as-a-service), and PaaS (platform-as-a-service) are all great examples of this. These services show that it’s possible to provide everything through the cloud, from the application itself to the tools to build and host that application.

For example, DigitalOcean allows users to create virtual machines in seconds and even scale dynamically based on usage. DigitalOcean offers IaaS and has leveled the playing field because of the cloud. Their service empowers smaller organizations with infrastructure that would be very costly and difficult to manage for an average-sized developer.

Using the Cloud To House High-Density Data Storage

When thinking about data storage needs, companies need to consider security, cost, and accessibility. Cloud solutions are built to house immense amounts of data for a small price, and uploading your data is typically reasonably priced. However, organizations need to be wary of retrieval and transfer fees, which can quickly become very expensive.

Many organizations leverage hybrid cloud solutions that store high-transfer data using on-premise data storage solutions to solve this problem. This approach allows organizations to keep low-cost data storage in the cloud and data that needs to be shared frequently on their company servers.

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One example of this is Northumberland County. They were dealing with multiple challenges as their infrastructure was aging and the data center was almost at capacity. By using a hybrid cloud architecture, they were able to retain control over data subject to privacy laws while delivering better service to their customers.

Using the Cloud To Power Big Data Analytics

Big data, as its name implies, requires the analysis of large amounts of data. The purpose is to gain insights that allow organizations to make decisions that shape their future, increase profitability, and improve efficiency. The analysis of vast amounts of data requires the computing power of servers typically found in data centers.

Big data involves the handling of petabytes of data for which the cloud’s scalable environment is ideal. It allows teams to be agile as they move from basic analysis to more advanced data extraction techniques. The cloud also improves connectivity by making insights accessible to more people.

Analyzing large data sets for big data requires a combination of computing power and innovative file structures. Data centers in the cloud and on-premises need to easily communicate and transmit data. Data architectures like that found at Weka are designed for all-flash storage and flexible cloud environments in contrast to legacy systems that prioritize HDD. This design improves hardware performance and allows all your hybrid cloud elements to communicate seamlessly.  

Gain Instant Expertise in Building Custom Cloud Solutions

Cloud solutions are an indisputable reality for today’s business owners. The question is no longer if you’re going to adopt cloud solutions, but rather if you’ll do it in a way that differentiates your business and gives you an edge. Our team at Intequus specializes in creating custom cloud solutions that help you provide cloud-based services and get the most out of your data. Talk to one of our experts to learn how you can build cloud solutions to power your business.