ClearScale Blog

Internet of Things (IoT) networks now support smart cities, enable predictive analytics, connect medical devices, and much more. The IoT industry is now worth nearly $310B, according to Fortune Business Insights, and is projected to skyrocket to over $1,850B by 2028. Companies of all sizes and in every industry want to leverage IoT-generated data for analysis. And they’re eager to develop applications that will make this possible. But, despite how compelling the IoT is, creating, deploying, and managing

The Internet of Things (IoT) is changing our world in tremendous ways. IoT networks today underpin smart cities, enable predictive maintenance, power last-mile transportation, and much more. IoT devices are even making their way into homes, giving everyday consumers visibility into how well their appliances are running. In 2020, the IoT industry was worth nearly $310B, according to Fortune Business Insights. The market is projected to grow to more than $1,850B by 2028 as the number of smart devices

The Internet of Things (IoT) encompasses a wide range of devices, from sensor-embedded medical devices to smart cars. By 2020, it’s estimated there will be over 20 billion of those devices producing 4.4 zettabytes of data. That’s a lot of data — and it offers incredible value for businesses that know how to use it. Not surprisingly, companies of all sizes and across just about every industry want to leverage IoT-generated data, and they’re eager to develop

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

Connecting devices and wearables to the Internet for capturing information has become very prevalent over the last few years. When these devices are used or needed for medical tracking, the need to have high availability and a failover process is of paramount concern for both the patient and the company charged with ensuring their safety. The challenge for any company attempting to implement an Internet of Things (IoT) solution is trying to find a method that provides high availability and

The Challenge ClearScale was approached by agricultural technology company that manufactured tags for livestock health monitoring to assist them in deploying a solution using IoT technologies to capture and process information from millions of individually tagged animals. The original solution the company had implemented involved numerous individual servers scattered in key locations to capture transmitted tag data. Aggregating this data was a challenge, as was actively monitoring, diagnosing, or anticipating animal health based on the information the tags were transmitting

Since the dawn of the Information Age, every industry — from manufacturing to telecommunications, transportation to information dissemination — has seen visible signs of transformation as new technologies are adopted to improve efficiencies; from manufacturing to telecommunications, transportation to information dissemination. This same evolution can be seen within the agricultural community. Over the last 30 years, advances in computer science and technology have revolutionized how the industry operates and individual farming families up to corporate-managed farming cooperatives have been able to capitalize

The Internet of Things (IoT) describes a conceptual world where devices of all sorts, from your cell phone to your automobile, from the security sensor in your house to the GPS-enabled wearable on your wrist, are constantly connected to the Internet. There, each device stores vital data about itself and the processes it is designed to monitor within a larger world. People or algorithms can then analyze this data in order to identify trends and predict future events, allowing the