ClearScale Blog

Big data has transformed the way companies conduct business. Through the careful analysis of large amounts of information, organizations can be empowered with modern decision-making capabilities that make it easier to draw conclusions and carry out actions based on accurate, relevant, and up-to-date data. Companies that embrace big data gain access to tools that can significantly reduce the cost of doing business. Using big data to help an organization lower costs requires a detailed understanding of how, when, and where

Thanks to the confluence of artificial intelligence, machine learning, Internet of Things (IoT) and an ever-increasing array of applications, industrial devices are getting smarter — and generating terabytes of data daily. To help businesses use that information, one software company developed a unique IoT performance and operations platform. The cloud-based solution powers hundreds of applications that can help lower operational costs, improve quality control, enhance safety, and much more. The Challenge With an ever-expanding ecosystem of IoT devices and third-party solutions

The benefits of moving to an AWS cloud environment are well documented, from ease of use and flexibility to scalability, security and reliability. What’s unknown is how much that AWS cloud migration will cost. Determining the answer isn’t always easy. Every company is different, with unique business requirements, varying goals, and specific needs. And while they may offer similar services, every cloud services provider (CSP) and consultant has its own unique approach to cloud building, consulting services and

For many organizations, having so much data at their fingertips can be both a blessing and a curse. While lots of data of course provides teams with valuable insights that can guide effective decision making, such an avalanche of information can also be a struggle to sift through and make sense of. Data is also ever-changing — and it’s up to teams to keep up so that they’re always gleaning the most relevant insights. The teams that stand apart

Cloud computing architecture has grown in popularity since Amazon first introduced AWS in 2006. As more and more companies recognize the benefit of moving away from data-center driven architectures with high costs of maintenance, the need to grow functionality in the Cloud to support complex business needs has increased as well. Due to the need to have robust architectures in place to support critical business operations, companies have relied heavily on disaster recovery paradigms that could be used if the