ClearScale Blog

It’s a common problem. You can’t seem to develop and deploy applications fast enough to meet your customers’ changing demands. By automating the processes involved, however, you can speed things up. You’re also able to scale-up and -down on the fly, reduce manual errors, improve the overall availability of the application and realize the cost benefits of on-demand compute. Sounds great, right? But as Tom Hanks’ character said in the movie A League of Their Own, “If

Research and development (R&D) at most companies is a collaborative process. It requires working with and analyzing large amounts of data, often by teams spread out across multiple geographies and time zones. In many cases, companies rely on enterprise resource planning (ERP) applications to help them integrate and visualize the entire R&D process from idea to production. It’s essential for both the data and applications to always be accessible, secure, and free from corruption or

Across all industries, automation is radically transforming the way business is conducted. Time-consuming tasks that once required an army of human beings can now be completed via automation technology. Just some of its many benefits include cost savings, greater operational efficiency, and the chance to move human capital to tasks better suited for human intelligence, such as problem-solving. Organizations that can find new ways of executing workflows through automation are poised to become leaner, faster, and more intelligent. The Challenge

The Challenge A financial analytics company's data analysis application had proved highly successful, but that success was also a problem. With a growing number of isolated data centers generating constant data streams, it was increasingly difficult to efficiently gather, store, and analyze all that data. The company knew a cloud-based Big Data analytics infrastructure would help, specifically a data ingestion pipeline that could aggregate data streams from individual data centers into a central cloud-based data storage. One of the challenges

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 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 are the

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

In many cases, “lift and shift” migration — where the entire IT infrastructure within an application is moved from on-premise environment to the cloud without redesigning — sounds like a bad idea. But sometimes, it can’t be avoided. And sometimes, it pays off magnificently. This was the case with one of the ClearScale’s clients in the healthcare space. The company has consistently made innovation a top priority, which is one reason why it’s become the world’s